# Cartographie des acteurs Vigne & Vin (V&V) à l'aide de la bibliométrie

Dominique Fournier

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## To cite this version:

Dominique Fournier. Cartographie des acteurs Vigne & Vin (V&V) à l'aide de la bibliométrie. [Rapport Technique] 2019. hal-02789626

HAL Id: hal-02789626

https://hal.inrae.fr/hal-02789626

Submitted on 5 Jun 2020

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers.

L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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Distributed under a Creative Commons Attribution 4.0 International License
KMUSE

MONTPELLIER
VINE & WINE
SCIENCES

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# Cartographie des acteurs V&V à l'aide de la bibliométrie

Dominique Fournier

présentation réalisée le 7 juin 2019 - mise à jour sept 2019

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Bibliométrie
Définition

* « l’application des mathématiques et des méthodes statistiques aux livres, articles et autres moyens de communication » (Pritchard, 1969)

* « Analyse quantitative de l’activité et des réseaux scientifiques » (Source Wikipedia)

- volet cognitif en interaction avec des disciplines qui étudient les communautés scientifiques comme objet d'étude (sociologie des sciences, histoire des sciences, épistémologie) et les sciences de l'information

- volet opérationnel, en liaison avec l'évaluation et le positionnement des acteurs
# Analyses bibliométriques

* Publications scientifiques (institutions, thématiques)
  - année, supports de publication, auteurs (+ affiliations)
  - citations (mesure de l'impact scientifique)

* Analyse quantitative (compte de présence)

* Analyse qualitative
  - qualité des supports de publications (FI, notoriété, ...)
  - mesure de l'impact / autres publications (même revue ou thématique et année)

* Analyse des partenaires via les adresses des co-auteurs (réseau)

* Benchmarking = positionnement / autres structures
# Outils pour la bibliométrie

## ☐ Sources d'informations (bases bibliographiques structurées)

☐ Web of Science™ (index de citations)

☐ Scopus (index de citations) pas d'abonnement à l'Inra

☐ HAL (diversité des productions)

## ☐ Indicateurs sur les revues

☐ JCR (facteurs d'impact)

☐ Noria (notoriété des revues)

## ☐ Indicateurs sur l'impact

☐ InCites (plateforme d'évaluation basée sur Web of Science)

☐ SciVal (plateforme d'évaluation basée sur Scopus)

☐ ESI Essential Science Indicators

☐ Noria (enrichissement de corpus, nb de citations → tops de citations)
Sources de données

* Web of Science™ (Clarivate Analytics)
  - base bibliographique internationale et multidisciplinaire

– index de citations

– + de 250 thématiques (WoS Categories)

– adresses de tous les auteurs

- unification partielle des noms des institutions (organization enhanced)

* InCites (Clarivate Analytics)
  - plateforme d'évaluation basée sur le Web of Science (décalage 1-2 mois)
Exemple de publication scientifique

JOURNAL OF
AGRICULTURAL AND
FOOD CHEMISTRY

Article

pubs.acs.org/JAFC

Effects of Vine Water Status on Dimethyl Sulfur Potential, Ammonium, and Amino Acid Contents in Grenache Noir Grapes (*Vitis vinifera*)

N. De Royer Dupré,\*,†,∥ R. Schneider,‡ J.C. Payan,§ E. Salançon,§ and A. Razungles∥

**ABSTRACT:** We studied the effect of vine water status on the dimethyl sulfur potential (DMSP), ammonium, and amino acid contents of the berry during the maturation of Grenache Noir grapes. Water deficit increased the accumulation of amino acids in berries and favored yeast assimilable amino nitrogen. Similarly, ammonium content was higher in berries from vines subjected to moderate water deficit. DMSP content followed the same trend as yeast assimilable amino acid content, with higher concentrations observed in the berries of vines subjected to water deficit. The high DMSP and yeast assimilable nitrogen contents of musts from vines subjected to water deficit resulted in a better preservation of DMSP during winemaking. The wines produced from these musts had a higher DMSP level and would therefore probably have a higher aroma shelf life, because the DMSP determines the rate of release of dimethyl sulfur during wine storage, and this compound enhances fruity notes.

**KEYWORDS:** *Vitis vinifera*, *Grenache Noir*, *water deficit*, *dimethyl sulfur potential*, *yeast assimilable nitrogen*, *ammonium*

■ AUTHOR INFORMATION

**Corresponding Author**

*E-mail: royerdup@supagro.inra.fr. Tel.: (33) (0)4 99 61 23 11.

**Funding**

We thank Fondation Jean Poupelain for the financial support.

**Notes**

The authors declare no competing financial interest.

<footnote>†Fondation Jean Poupelain, 30 rue de Gâte chien, F-16100 Javrezac, France</footnote>

<footnote>‡UMT QUALINNOV – IFV- Pech ROUGE, F-11430 Gruissan, France</footnote>

<footnote>§IFV – Institut Français de la Vigne et du Vin, Domaine de Donadille, F-30230 Rodilhan, France</footnote>

<footnote>∥Montpellier SupAgro - INRA, UMR Sciences Pour l'Œnologie, 2 Place Pierre Viala, F-34060 Montpellier, France</footnote>
# Valeur ajoutée du Web of Science

**Addresses:**

[1] Fdn Jean Poupelain, F-16100 Javrezac, France

[2] UMT QUALINNOV IFV Pech ROUGE, F-11430 Gruissan, France

[3] IFV Inst Francais Vigne & Vin, F-30230 Rodilhan, France

+

[4] Montpellier SupAgro INRA, UMR Sci Oenol, F-34060 Montpellier, France

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**Organization-Enhanced Name(s)**

Institut National de la Recherche Agronomique (INRA)

Montpellier SupAgro

**Unification des noms des institutions**

## Impact de l'article

**Citation Network**

In Web of Science Core Collection

5

Times Cited

**Abstract**

**Keywords**

Author Keywords: Vitis vinifera; Grenache Noir; water deficit; dimethyl sulfur potential; yeast assimilable nitrogen; ammonium

KeyWords Plus: WINE FERMENTATION; RED WINES; SULFIDE; AROMA; NUTRITION; QUALITY; DEFICIT; STRESS; PLANTS

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**Categories / Classification**

**Classement thématique des revues**

Research Areas: Agriculture; Chemistry; Food Science & Technology

Web of Science Categories: Agriculture, Multidisciplinary; Chemistry, Applied; Food Science & Technology

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**JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY**

Volume: 62 Issue: 13 Pages: 2760-2766

## Qualité des supports

**Impact Factor**

3.412 3.791
2017 5 year

<table><thead><tr><td>JCR & Category</td><td>Rank in Category</td><td>Quartile in Category</td></tr></thead><tbody><tr><td>AGRICULTURE, MULTIDISCIPLINARY</td><td>2 of 57</td><td>Q1</td></tr><tr><td>CHEMISTRY, APPLIED</td><td>17 of 72</td><td>Q1</td></tr><tr><td>FOOD SCIENCE & TECHNOLOGY</td><td>18 of 133</td><td>Q1</td></tr></tbody></table>

2019
# Méthodologie
# Choix des mots-clés et expressions

* À partir des mots-clés des publications majeures sur le sujet (ou utilisés par les auteurs d'une unité « cœur »)

* Complété par les experts du domaine

* Identification de faux-amis

- Grape fruit; grape tomato

- Fruit wine; rice wine

- Grape like

- Kiwifruit vine; invasive vine

- Vine copula; canonical vine

<table><thead><tr><th>Principaux mots-clés UMR SPO</th><th>Nb. cit.</th></tr></thead><tbody><tr><td>wine</td><td>46</td></tr><tr><td>Saccharomyces cerevisiae</td><td>17</td></tr><tr><td>Fermentation</td><td>14</td></tr><tr><td>wine fermentation</td><td>14</td></tr><tr><td>polysaccharides</td><td>13</td></tr><tr><td>yeast</td><td>13</td></tr><tr><td>Nitrogen</td><td>12</td></tr><tr><td>oligosaccharides</td><td>12</td></tr><tr><td>Polyphenols</td><td>12</td></tr><tr><td>Vitis vinifera</td><td>12</td></tr><tr><td>Alcoholic fermentation</td><td>10</td></tr><tr><td>Aroma</td><td>10</td></tr></tbody></table>

<table><thead><tr><th>Principaux mots-clés UMR AGAP (équipe DAAV)</th><th>Nb. cit.</th></tr></thead><tbody><tr><td>Grapevine</td><td>28</td></tr><tr><td>Vitis vinifera</td><td>25</td></tr><tr><td>Vitis vinifera L.</td><td>13</td></tr><tr><td>microsatellites</td><td>7</td></tr><tr><td>Vitis</td><td>7</td></tr><tr><td>Domestication</td><td>6</td></tr><tr><td>Genetic diversity</td><td>6</td></tr><tr><td>QTL</td><td>6</td></tr><tr><td>SSR</td><td>6</td></tr><tr><td>Grape</td><td>5</td></tr></tbody></table>
# Méthodologie 1/2

La méthodologie est identique à celle des 2 études précédentes :

- Une étude bibliométrique sur les publications mondiales « vigne et le vin » a été réalisée par MV Tatry (Inra), D Fournier (Inra) et C Moulliet (IFV) sur la période 1999-2008 http://prodinra.inra.fr/record/34572. Elle a permis d'identifier les principaux pays et institutions publiant dans le secteur viti-vinicoles et les collaborations qui se traduisent sous forme de co-publications.

- Une étude réalisée sur la période 2008-2012 a permis d'apporter un éclairage sur le dispositif vigne et vin (V&V) de l'Inra, organisé autour des 3 centres Inra Bordeaux-Aquitaine, Colmar et Montpellier. https://prodinra.inra.fr/record/256989

## Interrogation du Web of Science / Article, Review, Proceeding Papers et Letter

TS=((viticult* or vinicult* or vitivini* or oenolog* or enolog* or winemaking or winery or wineries or vitis or "V. vinifera" or viticol*)

OR
((wine or wines) not ("port wine stain*" or "port wine stain*" or "port wine lesion*" or "port wine birthmark*" or "palm wine*" or "wine glass mode" or "wine haven" or ("old Wine" near/3 ("new bottle*" or "new glass*" or "old glass*" or "new tube*")) or ("new wine" near/3 "old bottle*")) )

OR
(( (grape or grapes or grapevine*) not ("ray grape*" or "grapes 3" or "sour grape*" or "grape project" ) ) or (vineyard* not ("martha vineyard" or "vineyard peach*")) or ( (vineland or vinelands) not ((vineland adapt* behavio* scale*) or "Vineland Training Schol"))) OR ((vine or vines) not ("vine deloria"))

OR
(raisin or raisins or brandy or brandies or cooperage or ((barrel* or cask*) near/3 (oak*))))
# Méthodologie 2/2

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Non retenu par les experts

Avis d'experts sur le reliquat ou sur les seuils pour les étapes de tris = listes aléatoires de 100 publis
Résultats
Monde
Evolution du nb de publications V&V

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# Mots-clés

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Réalisé avec Wordle.com
Principaux mots-clés (seuil > 40 occurrences)
# Réseau de co-occurrences de mots-clés

<figure><img src="image_13.png" /></figure>

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# Thématiques

<table><thead><tr><td>Principales WoS categories</td><td>nb publis V&amp;V 2008-2018</td><td>% du corpus V&amp;V</td></tr></thead><tbody><tr><td>Food Science & Technology</td><td>10904</td><td>17,20%</td></tr><tr><td>Horticulture</td><td>5467</td><td>8,60%</td></tr><tr><td>Plant Sciences</td><td>4377</td><td>6,90%</td></tr><tr><td>Chemistry, Applied</td><td>3135</td><td>4,90%</td></tr><tr><td>Biotechnology & Applied Microbiology</td><td>2869</td><td>4,50%</td></tr><tr><td>Agriculture, Multidisciplinary</td><td>2687</td><td>4,20%</td></tr><tr><td>Agronomy</td><td>2195</td><td>3,50%</td></tr><tr><td>Nutrition & Dietetics</td><td>2040</td><td>3,20%</td></tr><tr><td>Chemistry, Analytical</td><td>1623</td><td>2,60%</td></tr><tr><td>Biochemistry & Molecular Biology</td><td>1588</td><td>2,50%</td></tr><tr><td>Microbiology</td><td>1484</td><td>2,30%</td></tr><tr><td>Environmental Sciences</td><td>1348</td><td>2,10%</td></tr><tr><td>Chemistry, Multidisciplinary</td><td>995</td><td>1,60%</td></tr><tr><td>Entomology</td><td>840</td><td>1,30%</td></tr><tr><td>Pharmacology & Pharmacy</td><td>802</td><td>1,30%</td></tr><tr><td>Multidisciplinary Sciences</td><td>766</td><td>1,20%</td></tr><tr><td>Biochemical Research Methods</td><td>732</td><td>1,20%</td></tr><tr><td>Engineering, Chemical</td><td>696</td><td>1,10%</td></tr><tr><td>Agricultural Economics & Policy</td><td>521</td><td>0,80%</td></tr><tr><td>Soil Science</td><td>498</td><td>0,80%</td></tr><tr><td>Ecology</td><td>485</td><td>0,80%</td></tr><tr><td>Economics</td><td>484</td><td>0,80%</td></tr><tr><td>Genetics & Heredity</td><td>481</td><td>0,80%</td></tr><tr><td>Agricultural Engineering</td><td>453</td><td>0,70%</td></tr><tr><td>Toxicology</td><td>443</td><td>0,70%</td></tr><tr><td>Chemistry, Medicinal</td><td>441</td><td>0,70%</td></tr><tr><td>Business</td><td>392</td><td>0,60%</td></tr><tr><td>Water Resources</td><td>383</td><td>0,60%</td></tr><tr><td>Engineering, Environmental</td><td>366</td><td>0,60%</td></tr><tr><td>Cell Biology</td><td>322</td><td>0,50%</td></tr><tr><td>Oncology</td><td>313</td><td>0,50%</td></tr><tr><td>Management</td><td>310</td><td>0,50%</td></tr><tr><td>Engineering, Electrical & Electronic</td><td>307</td><td>0,50%</td></tr></tbody></table>
# Corpus V&V Monde

<table><thead><tr><td>Top 10 Principaux Pays</td><td>Nb. publications V&V 2008-2018</td><td>Fréq.</td></tr></thead><tbody><tr><td>USA</td><td>5375</td><td>14,8%</td></tr><tr><td>Espagne</td><td>5094</td><td>14,0%</td></tr><tr><td>Italie</td><td>4711</td><td>13,0%</td></tr><tr><td>Chine</td><td>3693</td><td>10,2%</td></tr><tr><td>France</td><td>3155</td><td>8,7%</td></tr><tr><td>Brésil</td><td>2016</td><td>5,6%</td></tr><tr><td>Australie</td><td>1945</td><td>5,4%</td></tr><tr><td>Allemagne</td><td>1577</td><td>4,3%</td></tr><tr><td>Portugal</td><td>1340</td><td>3,7%</td></tr><tr><td>Turquie</td><td>1027</td><td>2,8%</td></tr></tbody></table>

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Kim V&W – septembre 2019
Trend Graph

# Evolution du nombre de publications
## V&W pour principaux pays

<figure><img src="image_16.png" /></figure>

Indicators: Web of Science Documents. Location Type: Country/region. Document Type: Article, Review, Proceedings Paper, Letter. Time Period: 2008-2018. Dataset: Corpus_VV_Monde_2008-2019.

InCites dataset updated Aug 27, 2019. Includes Web of Science content indexed through Aug 2, 2019. Export Date: Sep 16, 2019.
Comparaison de l'impact citationnel
normalisé par WoS Category

<figure><img src="image_17.png" /><figcaption>Bar Graph</figcaption></figure>
# Classement des pays par nombre de publications V&V 1er Quartile (revues)

<figure><img src="image_18.png" /></figure>
# Principales institutions V&V

<table><thead><tr><th>Name</th><th>Rank</th><th>Country/Region</th><th>▼ Web of Science Documents</th><th>Category Normalized Citation Impact</th><th>Times Cited</th><th>% Documents in Q1 Journals</th><th>Documents in Journals</th></tr><tr><th></th><th></th><th></th><th>ⓘ</th><th></th><th></th><th>ij</th><th>ij</th></tr></thead><tbody><tr><td>Institut National de la Recherche Agronomique (INRA)</td><td>1</td><td>FRANCE</td><td>1,553</td><td>1.45</td><td>29,883</td><td>69.01%</td><td>944</td></tr><tr><td>Consejo Superior de Investigaciones Científicas (CSIC)</td><td>2</td><td>SPAIN</td><td>1,306</td><td>1.46</td><td>24,251</td><td>72.6%</td><td>853</td></tr><tr><td>University of California Davis</td><td>3</td><td>USA</td><td>753</td><td>1.5</td><td>15,128</td><td>67.89%</td><td>427</td></tr><tr><td>United States Department of Agriculture (USDA)</td><td>4</td><td>USA</td><td>752</td><td>1.35</td><td>12,058</td><td>56.73%</td><td>371</td></tr><tr><td>Centre National de la Recherche Scientifique (CNRS)</td><td>5</td><td>FRANCE</td><td>751</td><td>1.29</td><td>13,617</td><td>64%</td><td>416</td></tr><tr><td>Communauté d'Universités et Etablissements d'Aquitaine (ComUE)</td><td>6</td><td>FRANCE</td><td>652</td><td>1.47</td><td>10,600</td><td>66.43%</td><td>374</td></tr><tr><td>Consiglio Nazionale delle Ricerche (CNR)</td><td>7</td><td>ITALY</td><td>619</td><td>1.49</td><td>11,208</td><td>59.93%</td><td>320</td></tr><tr><td>Northwest A&F University - China</td><td>8</td><td>CHINA MAINLAND</td><td>526</td><td>1.11</td><td>5,294</td><td>46.65%</td><td>181</td></tr><tr><td>China Agricultural University</td><td>9</td><td>CHINA MAINLAND</td><td>482</td><td>1.08</td><td>6,402</td><td>47.13%</td><td>197</td></tr><tr><td>Université de Bordeaux</td><td>10</td><td>FRANCE</td><td>480</td><td>1.36</td><td>9,021</td><td>65.87%</td><td>276</td></tr><tr><td>Stellenbosch University</td><td>11</td><td>SOUTH AFRICA</td><td>458</td><td>1.02</td><td>6,480</td><td>43.55%</td><td>179</td></tr><tr><td>University of Adelaide</td><td>12</td><td>AUSTRALIA</td><td>453</td><td>1.31</td><td>7,387</td><td>77.63%</td><td>302</td></tr><tr><td>Universidad de La Rioja</td><td>13</td><td>SPAIN</td><td>447</td><td>1.38</td><td>6,139</td><td>69.77%</td><td>277</td></tr><tr><td>Empresa Brasileira de Pesquisa Agropecuária (Embrapa)</td><td>14</td><td>BRAZIL</td><td>412</td><td>0.83</td><td>2,885</td><td>23.33%</td><td>77</td></tr><tr><td>Cornell University</td><td>15</td><td>USA</td><td>406</td><td>1.24</td><td>6,502</td><td>59.52%</td><td>200</td></tr></tbody></table>

InCites dataset updated Aug 27, 2019. Includes Web of Science content indexed through Aug 2, 2019.
# Résultats France
Evolution du nombre de publications

<figure><img src="image_19.png" /></figure>
# Mots-clés

<figure><img src="image_20.png" /></figure>

Réalisé avec Wordle.com
Principaux mots-clés (seuil > 4 occurrences)
# Réseau de co-occurrences de mots-clés

<figure><img src="image_21.png" /></figure>

<figure><img src="image_22.png" /></figure>
# Corpus V&V France

<table><thead><tr><td>Grandes-Régions-Françaises</td><td>Nb publis WoS 2008-2018</td><td>% France</td></tr></thead><tbody><tr><td>Région Nouvelle-Aquitaine</td><td>1083</td><td>34,3%</td></tr><tr><td>Région Occitanie</td><td>978</td><td>31,0%</td></tr><tr><td>Région Grand Est</td><td>505</td><td>16,0%</td></tr><tr><td>Région Ile-de-France</td><td>462</td><td>14,7%</td></tr><tr><td>Région Bourgogne-Franche-Comté</td><td>346</td><td>11,0%</td></tr><tr><td>Région Provence-Alpes-Côte d'Azur</td><td>204</td><td>6,5%</td></tr><tr><td>Région Auvergne-Rhône-Alpes</td><td>190</td><td>6,0%</td></tr><tr><td>Région Pays de la Loire</td><td>142</td><td>4,5%</td></tr><tr><td>Région Bretagne</td><td>107</td><td>3,4%</td></tr><tr><td>Région Hauts-de-France</td><td>77</td><td>2,4%</td></tr><tr><td>Région Centre-Val de Loire</td><td>54</td><td>1,7%</td></tr><tr><td>Région Normandie</td><td>30</td><td>1,0%</td></tr></tbody></table>

<figure><img src="image_23.png" /></figure>

Analytics - Vigne & Vin 2008-2018, traitement Inra SDAR Montpellier Occitanie mai 2019

<table><thead><tr><td>Anciennes-Régions-Françaises</td><td>Nb. publications V&V 2008-2018</td><td>% publications V&V France</td></tr></thead><tbody><tr><td>Aquitaine</td><td>1020</td><td>32,4%</td></tr><tr><td>Languedoc-Roussillon</td><td>809</td><td>25,7%</td></tr><tr><td>Ile de France</td><td>462</td><td>14,7%</td></tr><tr><td>Bourgogne</td><td>337</td><td>10,7%</td></tr><tr><td>Alsace</td><td>258</td><td>8,2%</td></tr><tr><td>Midi Pyrénées</td><td>225</td><td>7,1%</td></tr></tbody></table>
# Régions françaises et mots-clés 1/2

<table><thead><tr><th></th><th>Principaux mots-clés (fréquence)</th><th>Principaux mots-clés spécifiques</th></tr></thead><tbody><tr><td>Aquitaine (1020)</td><td>wine (126) Vitis vinifera (79) Grapevine (67)<br>Anthocyanins (33) Polyphenols (31)<br>Oenococcus oeni (30) red wine (29) climate<br>change (28) astringency (23) Grape (21)</td><td>fruity aroma + (9) stilbene + (7)<br>Antioxidant capacity + (6) Procyanidins + (6) oak wood<br>+ (14) Esters + (10) proanthocyanidin + (6) Red wines<br>+ (6) astringency + (23) Merlot + (7)<br>oligosaccharides + (12) QTL + (9)</td></tr><tr><td>Languedoc<br>Roussillon (809)</td><td>wine (79) Vitis vinifera (57) Grapevine (55) Vitis<br>vinifera L. (32) vineyard (25) Polyphenols (22)<br>Grape (19) Saccharomyces cerevisiae (18)<br>yeast (15) Nitrogen (15)</td><td>innovation + (5) Genetic structure + (5) Domestication +<br>(11) Winemaking + (9)<br>Cover crop + (9) Syrah + (6)<br>Wine fermentation + (15)<br>precision viticulture + (10)</td></tr><tr><td>Ile de France<br>(461)</td><td>wine (44) Vitis vinifera (21) Resveratrol (19)<br>Grapevine (15) Alcohol (11) Polyphenols (10)<br>Botrytis cinerea (9) climate change (7)<br>viticulture (7) Downy mildew (7)</td><td>Alcohol + (11) Chlorophyll fluorescence + (3) fungi + (4)<br>Wine industry + (4)<br>grey mould + (4) Archaeobotany + (3) Metabolites + (3)<br>Expertise + (4) Beer + (4) resistance + (5)</td></tr><tr><td>Bourgogne<br>(336)</td><td>wine (69) Resveratrol (17) Grapevine (12)<br>Polyphenols (12) Lobesia botrana (12) Vitis<br>vinifera (11) Botrytis cinerea (9) cork (9)<br>Plasmopara viticola (8) vineyard (7)</td><td>cork + (9) Burgundy + (5) agroecology + (5) Expertise +<br>(6) sparkling wine + (4)<br>Sensory + (7) Lobesia botrana + (12) diffusion + (4)<br>Sulfur dioxide + (4) Inflammation + (5)</td></tr><tr><td>Alsace (258)</td><td>Grapevine (45) Vitis vinifera (24) Plasmopara<br>viticola (14) Polyphenols (10) wine (9) Downy<br>mildew (8) Esca (7) Resveratrol (6) Botrytis<br>cinerea (6) resistance (6)</td><td>Disease resistance + (6)<br>Red wine polyphenols + (6) nitric oxide + (6)<br>Plasmopara viticola + (14) resistance + (6) Grape marc<br>+ (3) botryosphaeria dieback + (5) Downy mildew + (8)<br>Erysiphe necator + (4) Neofusicoccum parvum + (5)<br>rotundone + (6) Mannoproteins + (4) Wine yeast + (5)</td></tr><tr><td>Midi Pyrénées<br>(225)</td><td>wine (24) Grapevine (13) Saccharomyces<br>cerevisiae (10) yeast (8) Resveratrol (6)<br>Oenococcus oeni (6) Fermentation (6) Wine<br>fermentation (6) rotundone (6) Polyphenols (5)</td><td>Soil moisture + (4) Wine fermentation + (6)<br>Saccharomyces cerevisiae + (10) Ochratoxin A + (5)<br>aroma compounds + (3) Grape marc + (2) Non-<br>Saccharomyces + (2)</td></tr></tbody></table>
# Régions françaises et mots-clés 2/2

<table><thead><tr><th>---</th><th>Principaux mots-clés (fréquence)</th><th>Principaux mots-clés spécifiques</th></tr></thead><tbody><tr><td>Champagne Ardenne (224)</td><td>Champagne (30) Grapevine (27) Vitis vinifera (18)<br>wine (16) Resveratrol (15) Botrytis cinerea (13)<br>Sparkling wines (11) CO2 (10) Effervescence (10)<br>Phytoalexins (8)</td><td>Sparkling wines + (11) CO2 + (10)<br>carbonated beverages + (7) Effervescence + (10)<br>Champagne + (30) Protein + (8) Phytoalexins + (8)<br>Defense responses + (4) Photosynthesis + (7)<br>Chlorophyll fluorescence + (3)</td></tr><tr><td>Provence Alpes Cotes d Azur (204)</td><td>Vitis vinifera (14) wine (13) climate change (13)<br>Grapevine (11) vineyard (9) Vitis (9) oxidative stress (7)<br>Phenology (6) Vitis vinifera L. (5) red wine (5)</td><td>iron + (3) Biogenic amines + (4)<br>Real-time PCR + (3) Tomato + (4) antioxidant + (4)<br>Epidemiology + (5) irrigation + (3) Syrah + (2) oxidative stress + (7) Phenology + (6)</td></tr><tr><td>Rhone Alpes (150)</td><td>wine (13) Grapevine (7) Pesticide (6) Resveratrol (5) vineyard (5) Vitis vinifera L. (5) Diuron (5)<br>Botrytis cinerea (4) pesticides (4) Alcohol (4)</td><td>Diuron + (5) Erosion + (4) Pesticide + (6)<br>Water balance + (3) Cover crop + (3)<br>agriculture + (3) agroecology + (2) Epidemiology + (4)<br>Alcohol + (4) biological control + (2)<br>Typicality + (5) ripening + (8) antioxidant activity + (3)</td></tr><tr><td>Pays de la Loire (142)</td><td>wine (12) Grapevine (8) Polyphenols (8) ripening (8)<br>climate change (7) Sensory analysis (6) viticulture (5)<br>Typicality (5) Vitis vinifera (4) vineyard (4)</td><td>Soil + (4) nitric oxide + (3) Phaeomoniella<br>chlamydospora + (3)<br>phenolics + (4) climate + (2) Landscape + (2)<br>Optimization + (2)</td></tr><tr><td>Bretagne (107)</td><td>climate change (11) Grapevine (8) wine (6) Vitis vinifera (5) vineyard (5) Polyphenols (4) viticulture (4)<br>Grape pomace (4) Anaerobic digestion (4)<br>proanthocyanidins (3)</td><td>Anaerobic digestion + (4) Cider + (2) Grape pomace + (4)<br>Landscape + (2)<br>Ecosystem services + (2)<br>berry composition + (1) Winery wastewater + (1) Elicitor + (2)<br>climate change + (11) proanthocyanidins + (3)<br>Eutypa dieback + (4) flavor + (4)</td></tr><tr><td>Poitou Charente (80)</td><td>Grapevine (12) Vitis vinifera (10) wine (8) Aroma (6)<br>Esca (6) aging (5) red wine (4) Sensory analysis (4)<br>oak wood (4) flavor (4)</td><td>Esca disease + (2) Phaeomoniella chlamydospora + (3)<br>oak wood + (4) aging + (5) wine aging + (2) bitterness + (3)<br>ellagitannins + (3)<br>Esca + (6)</td></tr></tbody></table>
<figure><img src="image_24.png" /><figcaption># Réseaux de co-occurrence de mots-clés Aquitaine</figcaption></figure>

<figure><img src="image_25.png" /></figure>
<figure><img src="image_26.png" /><figcaption># Réseaux de co-occurrence de mots-clés
## Languedoc-Roussillon</figcaption></figure>

<figure><img src="image_27.png" /></figure>
# Réseaux de co-occurrence de mots-clés
Ile de France

<figure><img src="image_28.png" /><figcaption>Principaux mots-clés (seuil > 3 occurrences)</figcaption></figure>

<figure><img src="image_29.png" /></figure>
# Réseaux de co-occurrence de mots-clés
## Bourgogne

<figure><img src="image_30.png" /></figure>

Principaux mots-clés (seuil > 3 occurrences)

<figure><img src="image_31.png" /></figure>

VOsviewer
# Réseaux de co-occurrence de mots-clés Alsace

<figure><img src="image_32.png" /></figure>

<figure><img src="image_33.png" /></figure>

VOSviewer

Principaux mots-clés (seuil > 3 occurrences)
<figure><img src="image_34.png" /><figcaption># Réseaux de co-occurrence de mots-clés Midi-Pyrénées</figcaption></figure>

<figure><img src="image_35.png" /></figure>

VOsviewer

Principaux mots-clés (seuil > 3 occurrences)
# Réseaux de co-occurrence de mots-clés
Champagne-Ardennes

<figure><img src="image_36.png" /></figure>

<figure><img src="image_37.png" /></figure>

VOsviewer
# Réseaux de co-occurrence de mots-clés
## Provence Alpes Côte d'Azur

<figure><img src="image_38.png" /></figure>

<figure><img src="image_39.png" /></figure>

VOSviewer
# Unités V&V en France

<table><thead><tr><td>Principales unités de recherche</td><td>Nb. publications V&V 2008-2018</td><td>% publications V&V France</td></tr></thead><tbody><tr><td>Oenologie EA 4577 - USC 1366 - Bordeaux</td><td>375</td><td>11,9%</td></tr><tr><td>SPO UMR 1083 - Montpellier</td><td>266</td><td>8,4%</td></tr><tr><td>EGFV UMR 1287 - Bordeaux</td><td>178</td><td>5,6%</td></tr><tr><td>SAVE UMR 1065 - Bordeaux</td><td>166</td><td>5,3%</td></tr><tr><td>AGAP UMR 1334 - Montpellier</td><td>151</td><td>4,8%</td></tr><tr><td>URVVC EA 4707 - Reims</td><td>130</td><td>4,1%</td></tr><tr><td>SVQV UMR 1131 - Colmar</td><td>124</td><td>3,9%</td></tr><tr><td>Agroécologie UMR 1347 - Dijon</td><td>85</td><td>2,7%</td></tr><tr><td>CSGA UMR 1324 - Dijon</td><td>75</td><td>2,4%</td></tr><tr><td>PAM UMR - Dijon</td><td>65</td><td>2,1%</td></tr><tr><td>GRAPPE USC 1422 - Angers Nantes</td><td>62</td><td>2,0%</td></tr><tr><td>Pech Rouge UE 999 - Gruissan</td><td>60</td><td>1,9%</td></tr><tr><td>ITAP UMR - Montpellier</td><td>54</td><td>1,7%</td></tr><tr><td>LVBE EA 3991 - Colmar</td><td>52</td><td>1,7%</td></tr><tr><td>ISM UMR 5255 - Bordeaux</td><td>50</td><td>1,6%</td></tr><tr><td>BFP UMR 1332 - Bordeaux</td><td>48</td><td>1,5%</td></tr><tr><td>GESVAB EA 3675 - Bordeaux</td><td>47</td><td>1,5%</td></tr><tr><td>LISAH UMR 1221 - Montpellier</td><td>40</td><td>1,3%</td></tr><tr><td>Biogeosciences UMR 6282 - Dijon</td><td>39</td><td>1,2%</td></tr><tr><td>GSMA UMR 7331 - Reims</td><td>38</td><td>1,2%</td></tr><tr><td>SYSTEM UMR 1230 - Montpellier</td><td>35</td><td>1,1%</td></tr><tr><td>TIMR EA 4297 - Compiegne</td><td>33</td><td>1,1%</td></tr><tr><td>LEPSE UMR 759 - Montpellier</td><td>30</td><td>1,0%</td></tr></tbody></table>
# Les publications Inra V&V

<figure><img src="image_40.png" /></figure>

<table><thead><tr><td>Centres Inra</td><td>Nb. publications V&V 2008-2018</td><td>% publications Inra V&V</td></tr></thead><tbody><tr><td>Inra Nouvelle Aquitaine Bordeaux</td><td>749</td><td>41,4%</td></tr><tr><td>Inra Occitanie Montpellier</td><td>577</td><td>31,9%</td></tr><tr><td>Inra Bourgogne Franche Comté</td><td>167</td><td>9,2%</td></tr><tr><td>Inra Grand Est Colmar</td><td>128</td><td>7,1%</td></tr><tr><td>Inra Ile de France Versailles Grignon</td><td>110</td><td>6,1%</td></tr><tr><td>Inra PACA</td><td>99</td><td>5,5%</td></tr><tr><td>Inra Occitanie Toulouse</td><td>82</td><td>4,5%</td></tr><tr><td>Inra Pays de La Loire</td><td>81</td><td>4,5%</td></tr><tr><td>Inra Auvergne Rhône Alpes</td><td>42</td><td>2,3%</td></tr><tr><td>Inra Ile de France Jouy en Josas</td><td>35</td><td>1,9%</td></tr><tr><td>Inra Grand Est Nancy</td><td>28</td><td>1,6%</td></tr><tr><td>Inra Bretagne Normandie</td><td>20</td><td>1,1%</td></tr><tr><td>Inra Val de Loire</td><td>8</td><td>0,4%</td></tr><tr><td>Inra Hauts de France</td><td>7</td><td>0,4%</td></tr><tr><td>Inra Nouvelle Aquitaine Poitiers</td><td>3</td><td>0,2%</td></tr><tr><td>Inra Antilles Guyane</td><td>2</td><td>0,1%</td></tr><tr><td>Inra Centre Siège</td><td>1</td><td>0,1%</td></tr></tbody></table>

Source Web of Science™ Clarivate Analytics – Vigne & Vin 2008-2018, traitement Inra SDAR Montpellier Occitanie mai 2019
Résultats
Languedoc
Roussillon
Evolution du nombre de publications

<figure><img src="image_41.png" /></figure>
Mots-clés

<figure><img src="image_42.png" /></figure>

Réalisé avec Wordle.com
Principaux mots-clés (seuil > 2 occurrences)
# Réseau de co-occurrence de mots-clés
## Languedoc-Roussillon

<figure><img src="image_43.png" /><figcaption>Principaux mots-clés (seuil > 5 occurrences)</figcaption></figure>

<figure><img src="image_44.png" /></figure>
# WoS Categories (classement revues)

<table><thead><tr><td>Principales WoS Categories</td><td>nb publications</td><td></td></tr></thead><tbody><tr><td>Food Science & Technology</td><td>241</td><td>16,0%</td></tr><tr><td>Plant Sciences</td><td>131</td><td>8,7%</td></tr><tr><td>Horticulture</td><td>120</td><td>8,0%</td></tr><tr><td>Agriculture, Multidisciplinary</td><td>90</td><td>6,0%</td></tr><tr><td>Chemistry, Applied</td><td>89</td><td>5,9%</td></tr><tr><td>Biotechnology & Applied Microbiology</td><td>76</td><td>5,0%</td></tr><tr><td>Agronomy</td><td>66</td><td>4,4%</td></tr><tr><td>Microbiology</td><td>45</td><td>3,0%</td></tr><tr><td>Nutrition & Dietetics</td><td>44</td><td>2,9%</td></tr><tr><td>Biochemistry & Molecular Biology</td><td>36</td><td>2,4%</td></tr><tr><td>Multidisciplinary Sciences</td><td>35</td><td>2,3%</td></tr><tr><td>Genetics & Heredity</td><td>32</td><td>2,1%</td></tr><tr><td>Chemistry, Analytical</td><td>29</td><td>1,9%</td></tr><tr><td>Environmental Sciences</td><td>29</td><td>1,9%</td></tr><tr><td>Ecology</td><td>20</td><td>1,3%</td></tr><tr><td>Soil Science</td><td>20</td><td>1,3%</td></tr><tr><td>Agricultural Economics & Policy</td><td>19</td><td>1,3%</td></tr><tr><td>Entomology</td><td>19</td><td>1,3%</td></tr><tr><td>Water Resources</td><td>16</td><td>1,1%</td></tr><tr><td>Geosciences, Multidisciplinary</td><td>15</td><td>1,0%</td></tr><tr><td>Economics</td><td>14</td><td>0,9%</td></tr><tr><td>Evolutionary Biology</td><td>14</td><td>0,9%</td></tr><tr><td>Chemistry, Multidisciplinary</td><td>13</td><td>0,9%</td></tr><tr><td>Mycology</td><td>13</td><td>0,9%</td></tr><tr><td>Agricultural Engineering</td><td>12</td><td>0,8%</td></tr><tr><td>Biochemical Research Methods</td><td>11</td><td>0,7%</td></tr><tr><td>Computer Science, Interdisciplinary Applications</td><td>11</td><td>0,70%</td></tr><tr><td>Engineering, Chemical</td><td>11</td><td>0,70%</td></tr><tr><td>Remote Sensing</td><td>11</td><td>0,70%</td></tr></tbody></table>
# Les forces V&V en région « ex-LR »

<table><thead><tr><th>Principales unités</th><th>Nb. publications V&V 2008-2018</th><th>% LR</th></tr></thead><tbody><tr><td>SPO UMR 1083 - Montpellier</td><td>266</td><td>32,9%</td></tr><tr><td>AGAP UMR 1334 - Montpellier</td><td>150</td><td>18,5%</td></tr><tr><td>Pech Rouge UE 999 - Gruissan</td><td>60</td><td>7,4%</td></tr><tr><td>ITAP UMR - Montpellier</td><td>54</td><td>6,7%</td></tr><tr><td>LISAH UMR 1221 - Montpellier</td><td>40</td><td>4,9%</td></tr><tr><td>SYSTEM UMR 1230 - Montpellier</td><td>35</td><td>4,3%</td></tr><tr><td>LEPSE UMR 759 - Montpellier</td><td>30</td><td>3,7%</td></tr><tr><td>Genovigne UMT - Montpellier</td><td>16</td><td>2,0%</td></tr><tr><td>CBGP UMR 1062 - Montpellier</td><td>16</td><td>2,0%</td></tr><tr><td>iate UMR 1208 - Montpellier</td><td>15</td><td>1,9%</td></tr><tr><td>MISTEA UMR 729 - Montpellier</td><td>15</td><td>1,9%</td></tr><tr><td>Nutripass UMR 204 - Montpellier</td><td>14</td><td>1,7%</td></tr><tr><td>IBM UMR 5247 - Montpellier</td><td>14</td><td>1,7%</td></tr><tr><td>ISEM UMR 5554 - Montpellier</td><td>14</td><td>1,7%</td></tr><tr><td>MRM EA - Montpellier</td><td>12</td><td>1,5%</td></tr><tr><td>INNOVATION UMR 951 - Montpellier</td><td>11</td><td>1,4%</td></tr><tr><td>BGPI UMR 385 - Montpellier</td><td>11</td><td>1,4%</td></tr><tr><td>Qualisud UMR 95 - Montpellier</td><td>11</td><td>1,4%</td></tr><tr><td>VASSAL UE 1057 - Montpellier</td><td>11</td><td>1,4%</td></tr><tr><td>IPME UMR 186 - Montpellier</td><td>10</td><td>1,2%</td></tr><tr><td>LBE UR 50 - Narbonne</td><td>10</td><td>1,2%</td></tr></tbody></table>

Source Web of Science™ Clarivate Analytics - Vigne & Vin 2008-2018, traitement Inra SDAR Montpellier Occitanie mai 2019

<table><thead><tr><th>Principales entreprises et organisations région Languedoc Roussillon</th><th>Nb. publications V&V 2008-2018</th></tr></thead><tbody><tr><td>IFV Inst Français Vigne & Vin - FR</td><td>56</td></tr><tr><td>Nyséos - FR</td><td>9</td></tr><tr><td>Nomacorc SA - FR</td><td>8</td></tr><tr><td>ICV Inst Coop Vin - FR</td><td>7</td></tr><tr><td>ITK - FR</td><td>5</td></tr><tr><td>Anses - FR</td><td>4</td></tr><tr><td>USDA ARS Agr Res Serv - FR</td><td>4</td></tr><tr><td>Chambres Agr - FR</td><td>3</td></tr><tr><td>Elisol Env - FR</td><td>3</td></tr><tr><td>Fruition Sci - FR</td><td>3</td></tr><tr><td>Oenobrands SAS - FR</td><td>3</td></tr><tr><td>AdVini - FR</td><td>1</td></tr><tr><td>Akinao - FR</td><td>1</td></tr><tr><td>Caudalie - FR</td><td>1</td></tr><tr><td>Chr Hansen AS - FR</td><td>1</td></tr><tr><td>Domaine Cazes - FR</td><td>1</td></tr><tr><td>Fytexia SAS - FR</td><td>1</td></tr><tr><td>Grp GrapSud - FR</td><td>1</td></tr><tr><td>ICB OEnol - FR</td><td>1</td></tr><tr><td>INOZY - FR</td><td>1</td></tr><tr><td>Lab Dubernet Oenol - FR</td><td>1</td></tr><tr><td>Ondalys - FR</td><td>1</td></tr><tr><td>OPIE Off Insectes & Env - FR</td><td>1</td></tr><tr><td>Pellenc Pera SA - FR</td><td>1</td></tr><tr><td>Viti Oeno Conseil - FR</td><td>1</td></tr><tr><td>VIVELYS - FR</td><td>1</td></tr></tbody></table>

Source Web of Science™ Clarivate Analytics - Vigne & Vin 2008-2018, traitement Inra SDAR Montpellier Occitanie mai 2019
# Les forces V&V en région Occitanie
unités de recherche

<table><thead><tr><td>Région Occitanie</td><td>Principales unités</td><td>Nb. publications V&V 2008-2018</td></tr></thead><tbody><tr><td>Languedoc-Roussillon</td><td>SPO UMR 1083 - Montpellier</td><td>266</td></tr><tr><td>Languedoc-Roussillon</td><td>AGAP UMR 1334 - Montpellier</td><td>150</td></tr><tr><td>Languedoc-Roussillon</td><td>Pech Rouge UE 999 - Gruissan</td><td>60</td></tr><tr><td>Languedoc-Roussillon</td><td>ITAP UMR - Montpellier</td><td>54</td></tr><tr><td>Languedoc-Roussillon</td><td>LISAH UMR 1221 - Montpellier</td><td>40</td></tr><tr><td>Midi Pyrénées</td><td>LGC UMR 5503 - Toulouse</td><td>39</td></tr><tr><td>Languedoc-Roussillon</td><td>SYSTEM UMR 1230 - Montpellier</td><td>35</td></tr><tr><td>Languedoc-Roussillon</td><td>LEPSE UMR 759 - Montpellier</td><td>30</td></tr><tr><td>Languedoc-Roussillon</td><td>Genovigne UMT - Montpellier</td><td>16</td></tr><tr><td>Languedoc-Roussillon</td><td>CBGP UMR 1062 - Montpellier</td><td>16</td></tr><tr><td>Languedoc-Roussillon</td><td>IATE UMR 1208 - Montpellier</td><td>15</td></tr><tr><td>Languedoc-Roussillon</td><td>MISTEA UMR 729 - Montpellier</td><td>15</td></tr><tr><td>Languedoc-Roussillon</td><td>Nutripass UMR 204 - Montpellier</td><td>14</td></tr><tr><td>Languedoc-Roussillon</td><td>IBMM UMR 5247 - Montpellier</td><td>14</td></tr><tr><td>Languedoc-Roussillon</td><td>ISEM UMR 5554 - Montpellier</td><td>14</td></tr><tr><td>Languedoc-Roussillon</td><td>MRM EA - Montpellier</td><td>12</td></tr><tr><td>Midi Pyrénées</td><td>CESBIO USC 1439 - Toulouse</td><td>11</td></tr><tr><td>Languedoc-Roussillon</td><td>INNOVATION UMR 951 - Montpellier</td><td>11</td></tr><tr><td>Languedoc-Roussillon</td><td>BGPI UMR 385 - Montpellier</td><td>11</td></tr><tr><td>Languedoc-Roussillon</td><td>Qualisud UMR 95 - Montpellier</td><td>11</td></tr><tr><td>Languedoc-Roussillon</td><td>VASSAL UE 1057 - Montpellier</td><td>11</td></tr><tr><td>Midi Pyrénées</td><td>GBF UMR 990 - Toulouse</td><td>10</td></tr><tr><td>Languedoc-Roussillon</td><td>IPME UMR 186 - Montpellier</td><td>10</td></tr><tr><td>Languedoc-Roussillon</td><td>LBE UR 50 - Narbonne</td><td>10</td></tr></tbody></table>

Source Web of Science™ Clarivate Analytics - Vigne & Vin 2008-2018, traitement Inra SDAR Montpellier Occitanie mai 2019
# Les forces V&V en région Occitanie
entreprises et acteurs techniques

<table><thead><tr><td>Région Occitanie</td><td>Principales entreprises et organisations région Occitanie</td><td>Nb. publications V&V 2008-2018</td></tr></thead><tbody><tr><td>Languedoc-Roussillon / Midi-Pyrénées</td><td>IFV Inst Français Vigne & Vin - FR</td><td>73</td></tr><tr><td>Midi-Pyrénées</td><td>Lallemand Inc - FR</td><td>46</td></tr><tr><td>Languedoc-Roussillon</td><td>Nyséos - FR</td><td>9</td></tr><tr><td>Languedoc-Roussillon</td><td>Nomacorc SA - FR</td><td>8</td></tr><tr><td>Languedoc-Roussillon</td><td>ICV Inst Coop Vin - FR</td><td>7</td></tr><tr><td>Midi-Pyrénées</td><td>ACTIchem - FR</td><td>5</td></tr><tr><td>Languedoc-Roussillon</td><td>ITK - FR</td><td>5</td></tr><tr><td>Midi-Pyrénées</td><td>Airbus Grp - FR</td><td>4</td></tr><tr><td>Languedoc-Roussillon</td><td>Chambres Agr - FR</td><td>3</td></tr><tr><td>Midi-Pyrénées</td><td>Ctr Viticulture & OEnol Midi Pyrénées - FR</td><td>3</td></tr><tr><td>Languedoc-Roussillon</td><td>Elisol Env - FR</td><td>3</td></tr><tr><td>Languedoc-Roussillon</td><td>Fruition Sci - FR</td><td>3</td></tr><tr><td>Languedoc-Roussillon</td><td>Oenobrands SAS - FR</td><td>3</td></tr><tr><td>Midi-Pyrénées</td><td>TerraNIS - FR</td><td>2</td></tr></tbody></table>

Source Web of Science™ Clarivate Analytics – Vigne & Vin 2008-2018, traitement Inra SDAR Montpellier Occitanie mai 2019
# Mots-clés des Unités de la KIM V&W

<table><thead><tr><td>Unités LR</td><td>nb publications</td><td>Principaux mots-clés (nb occurrences)</td><td>Mots-clés spécifiques</td></tr></thead><tbody><tr><td>SPO UMR 1083</td><td>266</td><td>wine (46) Saccharomyces cerevisiae (17)<br>wine fermentation (14) Fermentation (14) yeast (13)<br>polysaccharides (13) Vitis vinifera (12)<br>Polyphenols (12) Nitrogen (12) oligosaccharides (12)</td><td>oligosaccharides + (12) Fermentation + (14)<br>polysaccharides + (13) mannoproteins + (5)<br>Wine yeast + (9) Saccharomyces cerevisiae + (17) wine<br>fermentation + (14) Proanthocyanidins + (8) Alcoholic<br>fermentation + (10) Adaptive evolution + (5)</td></tr><tr><td>AGAP UMR 1334</td><td>150</td><td>Grapevine (28) Vitis vinifera (25) Vitis vinifera L. (13)<br>Vitis (7) microsatellites (7) Domestication (6) QTL (6)<br>Genetic diversity (6) SSR (6) Grape (5)</td><td>microsatellites + (7) Genetic diversity + (6) SSR + (6)<br>Genetic structure + (4) microsatellite markers + (4)<br>powdery mildew + (4) QTL + (6) microvine + (4) Vitis +<br>(7) Vitis vinifera L + (4)</td></tr><tr><td>ITAP UMR</td><td>54</td><td>Precision viticulture (8) Vitis vinifera (6)<br>vine water status (6) viticulture (5) vineyard (4)<br>Water stress (3) spatial variability (3)<br>Vitis vinifera L. (2) Grapevine (1) Grape (1)</td><td>Precision viticulture + (8) vine water status + (6) spatial<br>variability + (3) viticulture + (5) Water stress + (3)<br>surface runoff + (1) vine + (1) vineyard + (4) Vitis<br>vinifera L + (1) water deficit + (1)</td></tr><tr><td>Pech Rouge UE 999</td><td>60</td><td>wine (9) Grapevine (7) Vitis vinifera (5) yeast (4)<br>Winemaking (4) vine water status (4)<br>wine fermentation (3) Alcoholic fermentation (3)<br>Aroma (3) Modeling (3)</td><td>Sensory analysis + (3) vine water status + (4) Adaptive<br>evolution + (2) Winemaking + (4) Syrah + (2) terroir +<br>(2) Alcoholic fermentation + (3) Aroma + (3) Modeling +<br>(3) Temperature + (3)</td></tr><tr><td>LISAH UMR 1221</td><td>40</td><td>vineyard (10) viticulture (3) spatial variability (3)<br>Climate change (2) vine water status (2)<br>surface runoff (2) Vitis vinifera (1) Grapevine (1)<br>Precision viticulture (1) Cover crop (1)</td><td>spatial variability + (3) surface runoff + (2) vineyard +<br>(10) vine water status + (2) Validation + (1) viticulture +<br>(3) sorption + (1) Climate change + (2) Modelling + (1)<br>Precision viticulture + (1)</td></tr><tr><td>SYSTEM UMR 1230</td><td>35</td><td>Vitis vinifera L. (13) Cover crop (9) Water balance (4)<br>Intercropping (4) Grapevine (3) vineyard (3)<br>Water stress (3) Modelling (3) surface runoff (3)<br>water deficit (2)</td><td>Water balance + (4) Intercropping + (4) Cover crop + (9)<br>surface runoff + (3) Modelling + (3) Vitis vinifera L. +<br>(13) Water stress + (3) water deficit + (2) powdery<br>mildew + (1) vine + (1)</td></tr><tr><td>LEPSE UMR 759</td><td>30</td><td>Grapevine (8) Vitis vinifera (7) Vitis vinifera L. (4)<br>vineyard (4) Water stress (3) adaptation (3) QTL (2)<br>Modelling (2) Temperature (2) water deficit (2)</td><td>adaptation + (3) Water stress + (3) Modelling + (2)<br>rootstock + (1) water deficit + (2) powdery mildew + (1)<br>QTL + (2) Temperature + (2) vineyard + (4) Syrah + (1)</td></tr></tbody></table>
# Mots-clés des Unités de la KIM V&W

<table><thead><tr><td>Unités LR</td><td>nb publications</td><td>Principaux mots-clés (nb occurrences)</td></tr></thead><tbody><tr><td>MISTEA UMR 729</td><td>15</td><td>winemaking (3) Saccharomyces_cerevisiae (2) Aroma_compounds (2) Data_integration (2) optimization (2) Viticulture (2)</td></tr><tr><td>MRM EA</td><td>12</td><td>wine (2) innovation (2) ROCCurve (2)</td></tr><tr><td>Vassal UE 1057</td><td>11</td><td>Grapevine (3) Berry_size (1) berry_weight (1) carpel_number (1) cell_number_and_volume (1) climate_warming (1) Flowering (1) Flowering_time (1) fruit_growth (1) fruit_size (1)</td></tr><tr><td>INNOVATION UMR 951</td><td>11</td><td>innovation (2) Languedoc (2)</td></tr><tr><td>BPMP UMR 386</td><td>9</td><td>in_situ_hybridization (3) Grapevine (2) expression_pattern (2) grape (2) Precursors (2)</td></tr><tr><td>Phymedexp U1046</td><td>7</td><td>Botrytis_cinerea (1) Cardioprotection (1) Cardiovascular_disease (1) Caspases (1) laccase (1) Laccase-2-BcLCC2 (1) Laccase-3-BcLCC7 (1) Mitochondria (1)</td></tr><tr><td>MOISA UMR 1110</td><td>3</td><td>Farm_diversification (1) French_wine_producers (1) Resource-Based_Perspective (1) Transaction_Costs_Economics (1) Vertical_integration (1)</td></tr></tbody></table>
# Mots-clés des autres unités LR
(hors KIM V&W)

<table><thead><tr><td>Unités LR</td><td>nb publications</td><td>Principaux mots-clés (nb occurrences)</td></tr></thead><tbody><tr><td>Genovigne UMT</td><td>16</td><td>Vitis vinifera (2) Grapevine (2) anthocyanin (2) Vitis (1) Phenolic compounds (1) QTL (1) Temperature (1) water deficit (1) adaptation (1) Tannins (1)</td></tr><tr><td>CBGP UMR 1082</td><td>16</td><td>Vitis_vinifera (3) Climate_change (2) Pinus_pinea (2) Sorbus_domestica (2) viticulture (1) vineyard (1) biological_control (1) Cover_crop (1) tillage (1) Vitis (1)</td></tr><tr><td>IATE UMR 1208</td><td>15</td><td>PET (4) Oxygen_scavenger (3) Recycling (3) sorption (3) wine (2) vineyard (2) Data_integration (2) packaging (2) Winemaking (2) Polyphenols (1)</td></tr><tr><td>Nutripass UMR 204</td><td>14</td><td>oxidative_stress (7) Polyphenols (5) atherosclerosis (4) obesity (3) grape_seed_proanthocyanidins (2) hamster (2) hamsters (2) liver_inflammation (2) Rat (2) Antioxidant (1)</td></tr><tr><td>IBMM UMR 5247</td><td>14</td><td>wine (4) Precursors (3) Varietal_thiols (3) 3MH (2) diglycoside (2) flavan-3-ol (2) glycoside (2) massspectrometry (2) oxidative_stress (1) Vitis_vinifera (1)</td></tr><tr><td>ISEM UMR 5554</td><td>12</td><td>Archaeobotany (4) Vitis_vinifera (3) Roman_period (3) viticulture (2) Domestication (2) Southern_France (2) wine (1) diversity (1) Vitis (1)</td></tr><tr><td>BGPI UMR 385</td><td>11</td><td>gray_mold (2) Domestication (1) diversity (1)</td></tr><tr><td>Qualisud UMR 95</td><td>11</td><td>Aspergillus_carbonarius (2) Grape_juice (2) Phenolic_compounds (2) Vitis_vinifera (1) wine (1) biological_control (1) grapes (1) Ochratoxin_A (1) volatile_compounds (1)</td></tr></tbody></table>
# Réseau de co-publications entre unités LR

<figure><img src="image_45.png" /></figure>

<figure><img src="image_46.png" /></figure>
<figure><img src="image_47.png" /><figcaption># Réseau de co-publications entre auteurs V&V en LR</figcaption></figure>
# Qualité des publications V&V LR
## Revues de publications

<table><thead><tr><th></th><th>Name</th><th>Rank</th><th>▼ Web of Science Documents</th><th>Times Cited</th><th>% Docs Cited</th><th>Quartile</th><th>Journal Normalized Citation Impact</th><th>Impact Factor w/o Self Cites</th><th>Category Normalized Citation Impact</th></tr><tr><th></th><th></th><th></th><th>①</th><th>①</th><th>①</th><th>①</th><th>①</th><th>①</th><th>①</th></tr></thead><tbody><tr><td>►</td><td>JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY</td><td>1</td><td>40</td><td>769</td><td>92.5%</td><td>Q1</td><td>0.83</td><td>3</td><td>1.35</td></tr><tr><td>►</td><td>FOOD CHEMISTRY</td><td>2</td><td>35</td><td>584</td><td>88.57%</td><td>Q1</td><td>0.91</td><td>4.45</td><td>1.77</td></tr><tr><td>►</td><td>JOURNAL INTERNATIONAL DES SCIENCES DE LA VIGNE ET DU VIN</td><td>3</td><td>24</td><td>461</td><td>95.83%</td><td>Q2</td><td>1.66</td><td>0.85</td><td>1.24</td></tr><tr><td>►</td><td>AUSTRALIAN JOURNAL OF GRAPE AND WINE RESEARCH</td><td>4</td><td>20</td><td>320</td><td>85%</td><td>Q1</td><td>0.85</td><td>1.77</td><td>1.38</td></tr><tr><td>►</td><td>BMC PLANT BIOLOGY</td><td>5</td><td>19</td><td>655</td><td>100%</td><td>Q1</td><td>1.51</td><td>3.79</td><td>2.46</td></tr><tr><td>►</td><td>VITIS</td><td>6</td><td>18</td><td>129</td><td>66.67%</td><td>Q2</td><td>1.3</td><td>0.74</td><td>0.8</td></tr><tr><td>►</td><td>PLOS ONE</td><td>7</td><td>17</td><td>259</td><td>88.24%</td><td>Q1</td><td>1.93</td><td>2.6</td><td>1.4</td></tr><tr><td>►</td><td>OENO ONE</td><td>8</td><td>11</td><td>18</td><td>45.45%</td><td>Q4</td><td>0.81</td><td>0.54</td><td>0.49</td></tr><tr><td>►</td><td>AMERICAN JOURNAL OF ENOLOGY AND VITICULTURE</td><td>8</td><td>11</td><td>95</td><td>100%</td><td>Q1</td><td>0.78</td><td>1.58</td><td>0.74</td></tr><tr><td>►</td><td>EUROPEAN JOURNAL OF AGRONOMY</td><td>10</td><td>10</td><td>276</td><td>90%</td><td>Q1</td><td>1.09</td><td>2.96</td><td>2.55</td></tr><tr><td>►</td><td>PRECISION AGRICULTURE</td><td>11</td><td>9</td><td>165</td><td>77.78%</td><td>Q1</td><td>1.08</td><td>2.24</td><td>1.59</td></tr><tr><td>►</td><td>APPLIED AND ENVIRONMENTAL MICROBIOLOGY</td><td>11</td><td>9</td><td>241</td><td>100%</td><td>Q2</td><td>1.22</td><td>3.44</td><td>1.58</td></tr></tbody></table>
# Qualité des publications LR V&V
## Indicateurs d'impact de citations (InCites)

<table><thead><tr><th>▼ Web of Science Documents</th><th>Category Normalized Citation Impact</th><th>Times Cited</th><th>% Docs Cited</th><th>% Documents in Q1 Journals</th><th>% Documents in Top 1%</th><th>% Documents in Top 10%</th><th>% International Collaborations</th></tr></thead><tbody><tr><td>798</td><td>1.46</td><td>13,726</td><td>87.47%</td><td>66.89%</td><td>2.38%</td><td>17.67%</td><td>47.74%</td></tr></tbody></table>

A titre de comparaison – V&V région Aquitaine

<table><thead><tr><th>Web of Science Documents</th><th>Category Normalized Citation Impact</th><th>▼ Times Cited</th><th>% Docs Cited</th><th>% Documents in Q1 Journals</th><th>% Documents in Top 1%</th><th>% Documents in Top 10%</th><th>% International Collaborations</th></tr></thead><tbody><tr><td>996</td><td>1.35</td><td>15,238</td><td>88.35%</td><td>63.14%</td><td>1.41%</td><td>17.07%</td><td>39.66%</td></tr></tbody></table>
# Publications V&V LR - Top 1% (12 Highly Cited Papers)

**Francisco, RM et al. 2013, ABCC1, an ATP Binding Cassette Protein from Grape Berry, Transports Anthocyanidin 3-O-Glucosides** PLANT CELL doi: 10.1105/tpc.112.102152, WOS:000321035800027, Wos Categories: Biochemistry & Molecular Biology; Plant Sciences; Cell Biology, **SPO UMR 1083** - 82 citations au 08/03/19

**Carrascon, V et al., 2018, The kinetics of oxygen and SO2 consumption by red wines. What do they tell about oxidation mechanisms and about changes in wine composition?** FOOD CHEMISTRY, doi: 10.1016/j.foodchem.2017.08.090, WOS:000411624400026, Wos Categories: Chemistry, Applied; Food Science & Technology; Nutrition & Dietetics, **SPO UMR 1083** - 10 citations au 08/03/19

**Cavallini, E et al. 2015 The Phenylpropanoid Pathway Is Controlled at Different Branches by a Set of R2R3-MYB C2 Repressors in Grapevine** PLANT PHYSIOLOGY, doi:10.1104/pp.114.256172, WOS:000354438500021, Wos Categories: Plant Sciences, **SPO UMR 1083** - 66 citations au 08/03/19

**Terrier, N et al. 2009, Ectopic Expression of VvMybPA2 Promotes Proanthocyanidin Biosynthesis in Grapevine and Suggests Additional Targets in the Pathway,** PLANT PHYSIOLOGY, doi: 10.1104/pp.108.131862, WOS:000263129400037, Wos Categories: Plant Sciences, **SPO UMR 1083 + AGAP UMR 1334** - 175 citations au 08/03/19

**Lacombe, T et al. 2013, Large-scale parentage analysis in an extended set of grapevine cultivars (Vitis vinifera L.),** THEORETICAL AND APPLIED GENETICS, doi: 10.1007/s00122-012-1988-2, WOS:000314055100010, Wos Categories: Agronomy; Plant Sciences; Genetics & Heredity; Horticulture: **AGAP UMR 1334** - 85 citations au 08/03/19

**Laucou, V et al. 2011, High throughput analysis of grape genetic diversity as a tool for germplasm collection management,** THEORETICAL AND APPLIED GENETICS, doi: 10.1007/s00122-010-1527-y, WOS:000288394200017, Wos Categories: Agronomy; Plant Sciences; Genetics & Heredity; Horticulture, **AGAP UMR 1334 + VASSAL UE 1057** - 117 citations au 08/03/19

**Sadoudi, M et al. 2012, Yeast-yeast interactions revealed by aromatic profile analysis of Sauvignon Blanc wine fermented by single or co-culture of non-Saccharomyces and Saccharomyces yeasts,** FOOD MICROBIOLOGY, doi: 10.1016/j.fm.2012.06.006, WOS:000309897200004, Wos Categories: Biotechnology & Applied Microbiology; Food Science & Technology; Microbiology, **Qualinnov UMT** - 133 citations au 08/03/19

**Cerdan, O et al. 2010, Rates and spatial variations of soil erosion in Europe: A study based on erosion plot data,** GEOMORPHOLOGY, doi:10.1016/j.geomorph.2010.06.011, WOS:000281181800013, Wos Categories: Geography, Physical; Geosciences, Multidisciplinary, **LISAH UMR 1221** - 287 citations au 08/03/19

**Pertot, I et al. 2017 A critical review of plant protection tools for reducing pesticide use on grapevine and new perspectives for the implementation of IPM in viticulture,** CROP PROTECTION, doi: 10.1016/j.cropro.2016.11.025, WOS:000401677900009, Wos Categories: Agronomy, **SYSTEM UMR 1230** - 19 citations au 08/03/19

**Varsani, A et al. 2017 Capulavirus and Grablovirus: two new genera in the family Geminiviridae** ARCHIVES OF VIROLOGY doi:10.1007/s00705-017-3268-6, WOS:000401119300047, Wos Categories: Virology, **BGPI UMR 385** - 51 citations au 08/03/19

**Bertsch, C et al. 2013, Grapevine trunk diseases: complex and still poorly understood,** PLANT PATHOLOGY, doi: 10.1111/j.1365-3059.2012.02674.x, WOS:000316002900001, Wos Categories: Agronomy; Plant Sciences - **IFV** - 116 citations au 08/03/19

**Van Leeuwen, C et al. 2009, Vine water status is a key factor in grape ripening and vintage quality for red Bordeaux wine. how can it be assessed for vineyard management purposes?** JOURNAL INTERNATIONAL DES SCIENCES DE LA VIGNE ET DU VIN, WOS:000270327600001, Wos Categories: Food Science & Technology; Horticulture - **Consultant Viticulture** - 179 citations au 08/03/19
# Pays partenaires de V&V LR

<figure><img src="image_48.png" /></figure>

<table><thead><tr><th>Name</th><th>Rank</th><th>Web of Science Documents</th><th>Category Normalized Citation Impact</th><th>Times Cited</th></tr></thead><tbody><tr><td>FRANCE</td><td>1</td><td>798</td><td>1.46</td><td>13,726</td></tr><tr><td>SPAIN</td><td>2</td><td>89</td><td>2.08</td><td>1,366</td></tr><tr><td>ITALY</td><td>3</td><td>78</td><td>2.59</td><td>1,711</td></tr><tr><td>USA</td><td>4</td><td>43</td><td>2.24</td><td>898</td></tr><tr><td>AUSTRALIA</td><td>5</td><td>41</td><td>1.74</td><td>606</td></tr><tr><td>CHILE</td><td>6</td><td>36</td><td>1.7</td><td>518</td></tr><tr><td>GERMANY (FED REP GER)</td><td>7</td><td>24</td><td>4.3</td><td>603</td></tr><tr><td>SWITZERLAND</td><td>8</td><td>21</td><td>2.21</td><td>679</td></tr><tr><td>PORTUGAL</td><td>8</td><td>21</td><td>4.1</td><td>749</td></tr><tr><td>TUNISIA</td><td>10</td><td>15</td><td>1.05</td><td>231</td></tr><tr><td>UNITED KINGDOM</td><td></td><td></td><td>2.59</td><td>423</td></tr><tr><td>BELGIUM</td><td>11</td><td>13</td><td>2.5</td><td>564</td></tr></tbody></table>
# Partenaires étrangers de V&V LR

<table><tbody><tr><td>Consejo Superior de Investigaciones Científicas (CSIC)</td><td>1</td><td>28</td><td>2.57</td><td>476</td></tr><tr><td>Universidad de Talca</td><td>2</td><td>19</td><td>1.33</td><td>295</td></tr><tr><td>CSIC-CAR-UR - Instituto de Ciencias de la Vid y del Vino (ICVW)</td><td>3</td><td>16</td><td>2.45</td><td>166</td></tr><tr><td>Commonwealth Scientific &amp; Industrial Research Organisation (CSIRO)</td><td>3</td><td>16</td><td>1.35</td><td>350</td></tr><tr><td>Universidad de La Rioja</td><td>5</td><td>15</td><td>2.58</td><td>169</td></tr><tr><td>Fondazione Edmund Mach</td><td>6</td><td>14</td><td>2.06</td><td>446</td></tr><tr><td>University of California System</td><td>6</td><td>14</td><td>1.38</td><td>348</td></tr><tr><td>University of Zagreb</td><td>8</td><td>11</td><td>1.97</td><td>117</td></tr><tr><td>University of California Davis</td><td>8</td><td>11</td><td>1.38</td><td>297</td></tr><tr><td>Consiglio Nazionale delle Ricerche (CNR)</td><td>8</td><td>11</td><td>1.77</td><td>201</td></tr><tr><td>Pontificia Universidad Catolica de Chile</td><td>11</td><td>10</td><td>2.59</td><td>145</td></tr><tr><td>Centre de Biotechnologie de Borj Cedria</td><td>11</td><td>10</td><td>0.78</td><td>100</td></tr><tr><td>University of Milan</td><td>13</td><td>9</td><td>1.49</td><td>87</td></tr><tr><td>University of Melbourne</td><td>13</td><td>9</td><td>1.68</td><td>56</td></tr><tr><td>Consiglio per la Ricerca in Agricoltura e L'analisi Dell'economia Agraria (CREA)</td><td>13</td><td>9</td><td>5.55</td><td>148</td></tr><tr><td>University of Florence</td><td>16</td><td>8</td><td>3.18</td><td>158</td></tr><tr><td>Charles Sturt University</td><td>16</td><td>8</td><td>1.19</td><td>31</td></tr><tr><td>University of Padua</td><td>16</td><td>8</td><td>1.62</td><td>98</td></tr><tr><td>CIBER - Centro de Investigación Biomedica en Red</td><td>16</td><td>8</td><td>1.32</td><td>79</td></tr><tr><td>CIBEROBN</td><td>16</td><td>8</td><td>1.32</td><td>79</td></tr><tr><td>University of Barcelona</td><td>21</td><td>7</td><td>3.07</td><td>210</td></tr><tr><td>Instituto de Salud Carlos III</td><td></td><td>7</td><td>1.29</td><td>67</td></tr><tr><td>United States Department of Agriculture (USDA)</td><td>21</td><td>7</td><td>1.73</td><td>105</td></tr></tbody></table>

Kim V&W 21 septembre 2019
Benchmarking
# Principales institutions étrangères

<table><thead><tr><td></td><td>Nb. publications V&amp;V 2008-2019*</td><td>% publications V&amp;V Monde</td></tr></thead><tbody><tr><td>Univ Calif Davis - US</td><td>756</td><td>2,1%</td></tr><tr><td>Stellenbosch Univ - ZA</td><td>472</td><td>1,3%</td></tr><tr><td>Univ La Rioja UR - ES</td><td>468</td><td>1,3%</td></tr><tr><td>Univ Adelaide - AU</td><td>457</td><td>1,2%</td></tr><tr><td>Cornell Univ - US</td><td>414</td><td>1,1%</td></tr><tr><td>AWRI Australian Wine Res Inst - AU</td><td>364</td><td>1,0%</td></tr><tr><td>Univ Castilla La Mancha UCLM - ES</td><td>330</td><td>0,9%</td></tr><tr><td>Charles Sturt Univ - AU</td><td>264</td><td>0,7%</td></tr><tr><td>Univ Zaragoza UNIZAR - ES</td><td>193</td><td>0,5%</td></tr><tr><td>[ Languedoc Roussillon V&amp;V ]</td><td>[ 809 ]</td><td></td></tr></tbody></table>
<figure><img src="image_49.png" /><figcaption>Univ Calif Davis - US</figcaption></figure>

<figure><img src="image_50.png" /></figure>

VOSviewer
<figure><img src="image_51.png" /><figcaption>Cornell Univ - US</figcaption></figure>

<figure><img src="image_52.png" /></figure>

VOSviewer
Stellenbosch Univ - ZA

<figure><img src="image_53.png" /></figure>

<figure><img src="image_54.png" /></figure>

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<figure><img src="image_55.png" /><figcaption># AWRI Australian Wine Res Inst - AU</figcaption></figure>

<figure><img src="image_56.png" /></figure>

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Principaux mots-clés (seuil > 3 occurrences)
<figure><img src="image_57.png" /><figcaption>Univ Adelaide - AU</figcaption></figure>

<figure><img src="image_58.png" /></figure>

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<figure><img src="image_59.png" /><figcaption>Charles Sturt Univ - AU</figcaption></figure>

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<figure><img src="image_61.png" /><figcaption>Univ La Rioja UR - ES</figcaption></figure>

<figure><img src="image_62.png" /></figure>

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Univ Castilla La Mancha UCLM - ES

<figure><img src="image_63.png" /></figure>

<figure><img src="image_64.png" /></figure>

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Univ Zaragoza UNIZAR - ES

<figure><img src="image_65.png" /></figure>

<figure><img src="image_66.png" /></figure>
# Institutions et mots-clés

<table><thead><tr><th></th><th>Principaux mots-clés</th><th>Mots-clés spécifiques</th></tr></thead><tbody><tr><td>Univ Calif Davis - US (756)</td><td>wine (59) Vitis vinifera (51) grapevine (36) Vitis (28) Grape (23) vineyard (19) Oxidation (15) Cabernet Sauvignon (14) red wine (13) Pierce's disease (13)</td><td>California + (11) Xylella fastidiosa + (11) Genetic diversity + (11) Pierce's disease + (13) Agriculture + (7) xylem + (12) Eutypa dieback + (8) flavonoids + (10) Genetic structure + (5) Vines + (5)</td></tr><tr><td>Stellenbosch Univ - ZA (472)</td><td>wine (64) Vitis vinifera (18) grapevine (18) Malolactic fermentation (15) Sauvignon blanc (15) anthocyanins (13) South Africa (12) Non-Saccharomyces yeasts (11) Saccharomyces cerevisiae (10) phenolics (10)</td><td>South Africa + (12) Non-Saccharomyces yeasts + (11) Sauvignon blanc + (15) Brettanomyces bruxellensis + (8) Wine fermentation + (10) grape pomace + (7) Lactobacillus + (5) integrated pest management + (6) Wine spoilage + (4) Botryosphaeriaceae + (6)</td></tr><tr><td>Cornell Univ - US (414)</td><td>wine (27) Vitis (27) Vitis vinifera (20) Grape (18) grapevine (16) Dog-strangling vine (11) powdery mildew (9) disease resistance (8) grapes (7) Erysiphe necator (7)</td><td>Dog-strangling vine + (11) disease resistance + (8) Erysiphe necator + (7) powdery mildew + (9) integrated pest management + (6) Vitis + (27) Closteroviridae + (5) cover crop + (5) wine analysis + (4) Transcriptome + (5)</td></tr><tr><td>Univ La Rioja UR - ES (468)</td><td>wine (68) grapevine (37) Vitis vinifera (29) anthocyanins (23) Sensory analysis (23) volatile compounds (19) amino acids (18) Vitis vinifera L. (16) Tempranillo (15) red wine (13)</td><td>Experimental design + (12) Foliar application + (10) Must + (9) Tempranillo + (15) Vitis vinifera L + (9) mannoproteins + (5) stem water potential + (5) image analysis + (6) precision viticulture + (10) winery + (7)</td></tr><tr><td>Univ Adelaide - AU (457)</td><td>wine (80) Vitis vinifera (31) grapevine (25) wine aroma (16) Guaiacol (14) Grape (13) fermentation (12) Yeast (12) Oenococcus oeni (12) Tannin (12)</td><td>Salinity + (11) berry shrivel + (7) Shiraz + (11) Sodium + (4) Guaiacol + (14) Descriptive analysis + (12) Smoke taint + (12) Principal component analysis + (9) berry ripening + (8) nutrition + (5)</td></tr><tr><td>Univ Castilla La Mancha UCLM - ES (330)</td><td>wine (45) volatile compounds (33) red wine (22) anthocyanins (21) Phenolic compounds (20) Malolactic fermentation (19) Antioxidant capacity (16) vineyard (15) polyphenols (14) Grape (13)</td><td>Antioxidant capacity + (16) phenolic composition + (6) Antioxidant activity + (8) wine aging + (6) Winery wastewater + (7) ageing + (8) Phenolic compounds + (20) Red wines + (7) Stilbenes + (6) volatile compounds + (33)</td></tr><tr><td>AWRI Australian Wine Res Inst - AU (364)</td><td>wine (124) Tannin (30) Yeast (27) Aroma (25) fermentation (24) Grape (21) red wine (19) Vitis vinifera (18) Saccharomyces cerevisiae (16) anthocyanin (16)</td><td>haze + (11) molecular mass + (9) Phloroglucinolysis + (7) protein + (10) Proanthocyanidin + (11) rotundone + (11) HPLC-MS/MS + (12) Composition + (6) Flavour + (15) mouthfeel + (7)</td></tr><tr><td>Charles Sturt Univ - AU (264)</td><td>Vitis vinifera (31) wine (23) grapevine (22) Oxidation (15) White wine (11) Ascorbic acid (11) viticulture (10) wine quality (10) Bunch rot (8) Semillon (8)</td><td>Semillon + (8) Ascorbic acid + (11) Bunch rot + (8) photosynthesis + (7) grape berry + (5) modelling + (4) Phenology + (5) Oxidation + (15) fruit + (3) water deficit + (3)</td></tr><tr><td>Univ Zaragoza UNIZAR - ES (193)</td><td>wine (59) Aroma (30) Sensory analysis (20) red wine (14) anthocyanins (12) polyphenols (11) quality (11) Pulsed electric fields (10) Oxidation (7) amino acids (7)</td><td>Pulsed electric fields + (10) Extraction + (6) quality + (11) Spain + (7) Aroma + (30) Flavor + (6) Sensory analysis + (20) glycosides + (3) wine industry + (3) bitterness + (3)</td></tr></tbody></table>
Institutions et impact

<table><thead><tr><td>Name</td><td>Web of Science Documents</td><td>Category Normalized Citation Impact</td><td>Times Cited</td><td>% Documents in Q1 Journals</td><td>Documents in Q1 Journals</td></tr></thead><tbody><tr><td>University of California Davis</td><td>753</td><td>1,49</td><td>15358</td><td>67,9</td><td>427</td></tr><tr><td>Australian Wine Research Institute</td><td>363</td><td>1,65</td><td>8985</td><td>85,8</td><td>284</td></tr><tr><td>University of Adelaide</td><td>453</td><td>1,29</td><td>7493</td><td>77,6</td><td>302</td></tr><tr><td>Cornell University</td><td>406</td><td>1,24</td><td>6619</td><td>59,5</td><td>200</td></tr><tr><td>Stellenbosch University</td><td>458</td><td>1,03</td><td>6627</td><td>43,6</td><td>179</td></tr><tr><td>Universidad de La Rioja</td><td>447</td><td>1,37</td><td>6255</td><td>69,8</td><td>277</td></tr><tr><td>Universidad de Castilla-La Mancha</td><td>319</td><td>1,12</td><td>4320</td><td>61,0</td><td>169</td></tr><tr><td>University of Zaragoza</td><td>185</td><td>1,38</td><td>3500</td><td>78,4</td><td>134</td></tr><tr><td>Charles Sturt University</td><td>260</td><td>1,23</td><td>34801</td><td>64,7</td><td>145</td></tr><tr><td>Institut National de la Recherche Agronomique (INRA)</td><td>1553</td><td>1,45</td><td>30361</td><td>69,0</td><td>944</td></tr><tr><td>[ Languedoc Roussillon V&amp;V ]</td><td>[ 809 ]</td><td>[ 1,49 ]</td><td>[ 14967 ]</td><td>67,2</td><td>448</td></tr></tbody></table>

InCites dataset updated Sept 26, 2019. Includes Web of Science content indexed through Aug 30, 2019.
Pour en savoir plus

Key Initiative MUSE (KIM) Montpellier Vine & Wine sciences

https://muse.edu.umontpellier.fr/key-initiatives-muse/vine-wine-sciences/