Ceselli, A., Righini, G., Salani, M., 2009. A column generation algorithm for a rich vehicle-routing problem. Transp. Sci. 43 (1), 56-69, Place: Catonsville Publisher: Informos WOS:000263720200006.

Chen, B., Potts, C.N., Woeginger, G.J., 1998. A review of machine scheduling: Complexity, algorithms and approximability. In: Du, D.-Z., Pardalos, P.M. (Eds.), Handbook of Combinatorial Optimization: Volume1-3. Springer US, Boston, MA, pp. 1493-1641, URL https://doi.org/10.1007/978-1-4613-0303-9_25.

Chen, S., Shen, Y., Su, X., Chen, H., 2013. A crew scheduling with chinese meal break rules. J. Transp. Syst. Eng. Inf. Technol. 13 (2), 90-95.

Chen, K., Yao, D., Cheng, T., Ji, M., 2021. Production scheduling with autonomous and induced learning. Int. J. Prod. Res. 59 (9), 2817-2837.

Cheng, T.C.E., Ding, Q., Lin, B.M.T., 2004. A concise survey of scheduling with time-dependent processing times. European J. Oper. Res. 152 (1), 1-13, URL http://www.sciencedirect.com/science/article/pii/S0377221702009098.

Cheng, C.-H., Kuo, Y.-H., 2016. A dissimilarities balance model for a multi-skilledmulti-location food safety inspector scheduling problem. Iie Trans. 48 (3), 235-251, Place: Philadelphia Publisher: Taylor & Francis Inc WOS:000375232400004.

Cheng, T., Wang, G., 2000. Single machine scheduling with learning effect considerations. Ann. Oper. Res. 98 (1), 273-290.

Cheshmehgaz, H., Honar, H., Kazemipour, F., Desa, M., 2012. Accumulated risk of body postures in assembly line balancing problem and modeling through a multi-criteria fuzzy-genetic algorithm. Comput. Ind. Eng. 63 (2), 503-512.

Chiang, W.-C., Urban, T.L., 2006. The stochastic U-line balancing problem: A heuristic procedure. European J. Oper. Res. 175 (3), 1767-1781, Place: Amsterdam Publisher: Elsevier WOS:000241411500032.

Choi, G., 2009. A goal programming mixed-model line balancing for processing time and physical workload. Comput. Ind. Eng. 57 (1), 395-400.

Christiansen, M., Fagerholt, K., Nygreen, B., Ronen, D., 2007. Chapter 4 maritime transportation. In: Barnhart, C., Laporte, G. (Eds.), Handbooks in Operations Research and Management Science. In: Transportation, Vol. 14, Elsevier, pp. 189-284, URL https://www.sciencedirect.com/science/article/pii/S0927050706140049.

Chutima, P., Khotsaenlee, A., 2022. Multi-objective parallel adjacent U-shaped assembly line balancing collaborated by robots and normal and disabled workers. Comput. Oper. Res. 143, 105775, URL https://www.webofscience.com/wos/woscc/full-record/WOS:000790396900021, Place: Oxford Publisher: Pergamon-Elsevier Science Ltd WOS:000790396900021.

Coelho, L.C., Gagliardi, J.-P., Renaud, J., Ruiz, A., 2016. Solving the vehicle routing problem with lunch break arising in the furniture delivery industry. J. Oper. Res. Soc. 67 (5), 743-751, URL https://doi.org/10.1057/jors.2015.90.

Condeixa, L., Silva, P., Moah, D., Farias, B., Leiras, A., 2020. Evaluating cost impacts on reverse logistics using an economic order quantity (EOQ) model with environmental and social considerations. ECJOR Cent. Eur. J. Oper. Res. ...

Corominas, A., Olivella, J., Pastor, R., 2010. A model for the assignment of a set of tasks when work performance depends on experience of all tasks involved. Int. J. Prod. Econ. 126 (2), 335-340.

Costa, A., Cappadonna, F.A., Fichaera, S., 2014. Joint optimization of a flow-shop group scheduling with sequence dependent set-up times and skilled workforce assignment. Int. J. Prod. Res. 52 (9), 2696-2728, Place: Abingdon Publisher: Taylor & Francis Ltd WOS:000334051300013.

Cui, Z., Zhang, J., Wu, D., Cai, X., Wang, H., Zhang, W., Chen, J., 2020. Hybrid many-objective particle swarm optimization algorithm for green coal production problem. Inform. Sci. 518, 256-271.

Dalle Mura, M., Dini, G., 2022. Job rotation and human-robot collaboration for enhancing ergonomics in assembly lines by a genetic algorithm. Int. J. Adv. Manuf. Technol. 118 (9-10), 2901-2914.

Daş, G., Altınkaynak, B., Göçken, T., Türker, A., 2022. A set partitioning based goal programming model for the team formation problem. Int. Trans. Oper. Res. 29 (1), 301-322.

De Bruecker, P., Van den Bergh, J., Belien, J., Demeuleemeester, E., 2015. Workforce planning incorporating skills: State of the art. European J. Oper. Res. 243 (1), 1-16, Place: Amsterdam Publisher: Elsevier WOS:000349592500001.

De Genaro Chiroli, D., Mayerle, S., de Figueiredo, J., 2022. Using state-space shortest-path heuristics to solve the long-haul point-to-point vehicle routing and driver scheduling problem subject to hours-of-service regulatory constraints. J. Heuristics 28 (1), 23-59.

de Koster, R., Le-Duc, T., Roodbergen, K.J., 2007. Design and control of warehouse order picking: A literature review. European J. Oper. Res. 182 (2), 481-501, URL https://www.sciencedirect.com/science/article/pii/S0377221706006473.

De Lombaert, T., Braekers, K., De Koster, R., Ramaekers, K., 2022. In pursuit of humanised order picking planning: methodological review, literature classification and input from practice. Int. J. Prod. Res. 1-31, URL https://www.tandfonline.com/doi/full/10.1080/00207543.2022.2079437.

Dekker, R., Bloemhof, J., Mallidis, I., 2012. Operations Research for green logistics – An overview of aspects, issues, contributions and challenges. European J. Oper. Res. 219 (3), 671-679, URL https://www.sciencedirect.com/science/article/pii/S0377221711009970.

Dewi, D., Septiana, T., 2015. Workforce scheduling considering physical and mental workload: A case study of domestic freight forwarding. Procedia Manuf. 4, 445-453.

Diefenbach, H., Emde, S., Glock, C.H., 2020. Loading tow trains ergonomically for just-in-time part supply. European J. Oper. Res. 284 (1), 325-344, Place: Amsterdam Publisher: Elsevier WOS:000521510300025.

Diefenbach, H., Glock, C.H., 2019. Ergonomic and economic optimization of layout and item assignment of a U-shaped order picking zone. Comput. Ind. Eng. 138, UNSP106094, Place: Oxford Publisher: Pergamon-Elsevier Science Ltd WOS:000500375600004.

Diego-Mas, J.A., Asensio-Cuesta, S., Sanchez-Romero, M.A., Artacho-Ramirez, M.A., 2009. A multi-criteria genetic algorithm for the generation of job rotation schedules. Int. J. Ind. Ergon. 39 (1), 23-33, Place: Amsterdam Publisher: Elsevier WOS:000263007600004.

Doan, M.P., Fondrevelle, J., Botta-Genoulaz, V., Ribeiro, J.F.F., 2022. Impact of flexible work contracts and multi-skilled agents on a multi-objective workforce planning problem. Int. J. Prod. Res. 60 (5), 1650-1665, Publisher: Taylor & Francis eprint: https://doi.org/10.1080/00207543.2020.1867922, URL https://doi.org/10.1080/00207543.2020.1867922.

Doerr, K., Klastorin, T., Magazine, M., 2000. Synchronous unpaced flow lines with worker differences and overtime cost. Manage. Sci. 46 (3), 421-435.

Dukkanci, O., Karsu, O., Kara, B.Y., 2022. Planning sustainable routes: Economic, environmental and welfare concerns. European J. Oper. Res. 301 (1), 110-123, URL https://www.webofscience.com/wos/woscc/full-record/WOS:000789886400007, Place: Amsterdam Publisher: Elsevier WOS:000789886400007.

Dul, J., De Vries, H., Verschoof, S., Eveleens, W., Feilzer, A., 2004. Combining economic and social goals in the design of production systems by using ergonomics standards. Comput. Ind. Eng. 47 (2-3), 207-222.

Efe, B., Kremer, G.E.O., Kurt, M., 2018. Age and gender based workload constraint for assembly line worker assignment and balancing problem in a textile firm. Int. J. Ind.-Erg.-Theory Appl. Prac. 25 (1), 1-17, Place: Cincinnati Publisher: Univ Cincinnati Industrial Engineering WOS:000431221200001.

Egilmez, G., Erenay, B., Suer, G., 2014. Stochastic skill-based manpower allocation in a cellular manufacturing system. J. Manuf. Syst. 33 (4), 578-588.

Eitzen, G., Panton, D., Mills, G., 2004. Multi-skilled workforce optimisation. Ann. Oper. Res. 127 (1), 359-372, Place: Dordrecht Publisher: Kluwer Academic Publ WOS:000220092600011.

El Hachemi, N., El Hallaoui, I., Gendreau, M., Rousseau, L.-M., 2015. Flow-based integer linear programs to solve the weekly log-truck scheduling problem. Ann. Oper. Res. 232 (1), 87-97, Place: Dordrecht Publisher: Springer WOS:000359747200005.

Elmaghraby, S., 1990. Economic manufacturing quantities under conditions of learning and forgetting (EMQ/LaF). Prod. Plan. Control 1 (4), 196-208.

Erding, O., Yeow, P.H., 2011. Proving external validity of ergonomics and quality relationship through review of real-world case studies. Int. J. Prod. Res. 49 (4), 949-962, Publisher: Taylor & Francis eprint: https://doi.org/10.1080/00207540903555502, URL https://doi.org/10.1080/00207540903555502.

Eren, T., 2009. A bicriteria parallel machine scheduling with a learning effect of setup and removal times. Appl. Math. Model. 33 (2), 1141-1150, Place: New York Publisher: Elsevier Science Inc WOS:000261301400038.

Erera, A., Karacik, B., Savelsbergh, M., 2008. A dynamic driver management scheme for less-than-truckload carriers. Comput. Oper. Res. 35 (11), 3397-3411, Place: Oxford Publisher: Pergamon-Elsevier Science Ltd WOS:000255671800002.

Eskandarzadeh, S., Fahimnia, B., 2022. Rest break policy comparison for heavy vehicle drivers in Australia. Transp. Res. E 159, 102518, URL https://www.webofscience.com/wos/woscc/full-record/WOS:000790905100012, Place: Oxford Publisher: Pergamon-Elsevier Science Ltd WOS:000790905100012.

Fang, K., Wang, S., Pinedo, M., Chen, L., Chu, F., 2021. A combinatorial Benders decomposition algorithm for parallel machine scheduling with working-time restrictions. European J. Oper. Res. 291 (1), 128-146.

Feng, X., Hu, X., 2021. A heuristic solution approach to order Batching and sequencing for manual picking and packing lines considering fatiguing effect. Sci. Program. 2021.

Ferjani, A., Ammar, A., Pierreval, H., Elkosantini, S., 2017. A simulation-optimization based heuristic for the online assignment of multi-skilled workers subjected to fatigue in manufacturing systems. Comput. Ind. Eng. 112, 663-674, Place: Oxford Publisher: Pergamon-Elsevier Science Ltd WOS:004131326700056.

Finco, S., Abdous, M.-A., Calzavara, M., Battini, D., Delorme, X., 2020a. A bi-objective model to include workers' vibration exposure in assembly line design. Int. J. Prod. Res. ...

Finco, S., Battini, D., Delorme, X., Persona, A., Sgarbosa, F., 2020b. Workers' rest allowance and smoothing of the workload in assembly lines. Int. J. Prod. Res. 58 (4), 1255-1270, Place: Abingdon Publisher: Taylor & Francis Ltd WOS:000469115800001.

Finco, S., Calzavara, M., Sgarbosa, F., Zennaro, I., 2021. Including rest allowance in mixed-model assembly lines. Int. J. Prod. Res. 59 (24), 7468-7490.

Fini, A.A.F., Akbarnezhad, A., Rashidi, T.H., Waller, S.T., 2017. Job assignment based on brain demands and human resource strategies. J. Constr. Eng. Manag. 143 (5), 04016123, Place: Reston Publisher: Asce-Amer Soc Civil Engineers WOS:000398563900015.

Fowler, J.W., Wirojanagud, P., Gel, E.S., 2008. Heuristics for workforce planning with worker differences. European J. Oper. Res. 190 (3), 724-740, Place: Amsterdam Publisher: Elsevier Science Bv WOS:000256902800010.
Ceselli, A., Righini, G., Salani, M., 2009. A column generation algorithm for a rich vehicle-routing problem. Transp. Sci. 43 (1), 56-69, Place: Catonsville Publisher: Informos WOS:000263720200006.

Chen, B., Potts, C.N., Woeginger, G.J., 1998. A review of machine scheduling: Complexity, algorithms and approximability. In: Du, D.-Z., Pardalos, P.M. (Eds.), Handbook of Combinatorial Optimization: Volume1-3. Springer US, Boston, MA, pp. 1493-1641, URL https://doi.org/10.1007/978-1-4613-0303-9_25.

Chen, S., Shen, Y., Su, X., Chen, H., 2013. A crew scheduling with chinese meal break rules. J. Transp. Syst. Eng. Inf. Technol. 13 (2), 90-95.

Chen, K., Yao, D., Cheng, T., Ji, M., 2021. Production scheduling with autonomous and induced learning. Int. J. Prod. Res. 59 (9), 2817-2837.

Cheng, T.C.E., Ding, Q., Lin, B.M.T., 2004. A concise survey of scheduling with time-dependent processing times. European J. Oper. Res. 152 (1), 1-13, URL http://www.sciencedirect.com/science/article/pii/S0377221702009098.

Cheng, C.-H., Kuo, Y.-H., 2016. A dissimilarities balance model for a multi-skilledmulti-location food safety inspector scheduling problem. Iie Trans. 48 (3), 235-251, Place: Philadelphia Publisher: Taylor & Francis Inc WOS:000375232400004.

Cheng, T., Wang, G., 2000. Single machine scheduling with learning effect considerations. Ann. Oper. Res. 98 (1), 273-290.

Cheshmehgaz, H., Haron, H., Kazemipour, F., Desa, M., 2012. Accumulated risk of body postures in assembly line balancing problem and modeling through a multi-criteria fuzzy-genetic algorithm. Comput. Ind. Eng. 63 (2), 503-512.

Chiang, W.-C., Urban, T.L., 2006. The stochastic U-line balancing problem: A heuristic procedure. European J. Oper. Res. 175 (3), 1767-1781, Place: Amsterdam Publisher: Elsevier WOS:000241411500032.

Choi, G., 2009. A goal programming mixed-model line balancing for processing time and physical workload. Comput. Ind. Eng. 57 (1), 395-400.

Christiansen, M., Fagerholt, K., Nygreen, B., Ronen, D., 2007. Chapter 4 maritime transportation. In: Barnhart, C., Laporte, G. (Eds.), Handbooks in Operations Research and Management Science. In: Transportation, Vol. 14, Elsevier, pp. 189-284, URL https://www.sciencedirect.com/science/article/pii/S0927050706140049.

Chutima, P., Khotsaenlee, A., 2022. Multi-objective parallel adjacent U-shaped assembly line balancing collaborated by robots and normal and disabled workers. Comput. Oper. Res. 143, 105775, URL https://www.webofscience.com/wos/woscc/full-record/WOS:000790396900021, Place: Oxford Publisher: Pergamon-Elsevier Science Ltd WOS:000790396900021.

Coelho, L.C., Gagliardi, J.-P., Renaud, J., Ruiz, A., 2016. Solving the vehicle routing problem with lunch break arising in the furniture delivery industry. J. Oper. Res. Soc. 67 (5), 743-751, URL https://doi.org/10.1057/jors.2015.90.

Condeixa, L., Silva, P., Moah, D., Farias, B., Leiras, A., 2020. Evaluating cost impacts on reverse logistics using an economic order quantity (EOQ) model with environmental and social considerations. ECJOR Cent. Eur. J. Oper. Res. ...

Corominas, A., Olivella, J., Pastor, R., 2010. A model for the assignment of a set of tasks when work performance depends on experience of all tasks involved. Int. J. Prod. Econ. 126 (2), 335-340.

Costa, A., Cappadonna, F.A., Fichaera, S., 2014. Joint optimization of a flow-shop group scheduling with sequence dependent set-up times and skilled workforce assignment. Int. J. Prod. Res. 52 (9), 2696-2728, Place: Abingdon Publisher: Taylor & Francis Ltd WOS:000334051300013.

Cui, Z., Zhang, J., Wu, D., Cai, X., Wang, H., Zhang, W., Chen, J., 2020. Hybrid many-objective particle swarm optimization algorithm for green coal production problem. Inform. Sci. 518, 256-271.

Dalle Mura, M., Dini, G., 2022. Job rotation and human-robot collaboration for enhancing ergonomics in assembly lines by a genetic algorithm. Int. J. Adv. Manuf. Technol. 118 (9-10), 2901-2914.

Daş, G., Altınkaynak, B., Göçken, T., Türker, A., 2022. A set partitioning based goal programming model for the team formation problem. Int. Trans. Oper. Res. 29 (1), 301-322.

De Bruecker, P., Van den Bergh, J., Belien, J., Demeuleemeester, E., 2015. Workforce planning incorporating skills: State of the art. European J. Oper. Res. 243 (1), 1-16, Place: Amsterdam Publisher: Elsevier WOS:000349592500001.

De Genaro Chiroli, D., Mayerle, S., de Figueiredo, J., 2022. Using state-space shortest-path heuristics to solve the long-haul point-to-point vehicle routing and driver scheduling problem subject to hours-of-service regulatory constraints. J. Heuristics 28 (1), 23-59.

de Koster, R., Le-Duc, T., Roodbergen, K.J., 2007. Design and control of warehouse order picking: A literature review. European J. Oper. Res. 182 (2), 481-501, URL https://www.sciencedirect.com/science/article/pii/S0377221706006473.

De Lombaert, T., Braekers, K., De Koster, R., Ramaekers, K., 2022. In pursuit of humanised order picking planning: methodological review, literature classification and input from practice. Int. J. Prod. Res. 1-31, URL https://www.tandfonline.com/doi/full/10.1080/00207543.2022.2079437.

Dekker, R., Bloemhof, J., Mallidis, I., 2012. Operations Research for green logistics – An overview of aspects, issues, contributions and challenges. European J. Oper. Res. 219 (3), 671-679, URL https://www.sciencedirect.com/science/article/pii/S0377221711009970.

Dewi, D., Septiana, T., 2015. Workforce scheduling considering physical and mental workload: A case study of domestic freight forwarding. Procedia Manuf. 4, 445-453.

Diefenbach, H., Emde, S., Glock, C.H., 2020. Loading tow trains ergonomically for just-in-time part supply. European J. Oper. Res. 284 (1), 325-344, Place: Amsterdam Publisher: Elsevier WOS:000521510300025.

Diefenbach, H., Glock, C.H., 2019. Ergonomic and economic optimization of layout and item assignment of a U-shaped order picking zone. Comput. Ind. Eng. 138, UNSP106094, Place: Oxford Publisher: Pergamon-Elsevier Science Ltd WOS:000500375600004.

Diego-Mas, J.A., Asensio-Cuesta, S., Sanchez-Romero, M.A., Artacho-Ramirez, M.A., 2009. A multi-criteria genetic algorithm for the generation of job rotation schedules. Int. J. Ind. Ergon. 39 (1), 23-33, Place: Amsterdam Publisher: Elsevier WOS:000263007600004.

Doan, M.P., Fondrevelle, J., Botta-Genoulaz, V., Ribeiro, J.F.F., 2022. Impact of flexible work contracts and multi-skilled agents on a multi-objective workforce planning problem. Int. J. Prod. Res. 60 (5), 1650-1665, Publisher: Taylor & Francis eprint: https://doi.org/10.1080/00207543.2020.1867922, URL https://doi.org/10.1080/00207543.2020.1867922.

Doerr, K., Klastorin, T., Magazine, M., 2000. Synchronous unpaced flow lines with worker differences and overtime cost. Manage. Sci. 46 (3), 421-435.

Dukkanci, O., Karsu, O., Kara, B.Y., 2022. Planning sustainable routes: Economic, environmental and welfare concerns. European J. Oper. Res. 301 (1), 110-123, URL https://www.webofscience.com/wos/woscc/full-record/WOS:000789886400007, Place: Amsterdam Publisher: Elsevier WOS:000789886400007.

Dul, J., De Vries, H., Verschoof, S., Eveleens, W., Feilzer, A., 2004. Combining economic and social goals in the design of production systems by using ergonomics standards. Comput. Ind. Eng. 47 (2-3), 207-222.

Efe, B., Kremer, G.E.O., Kurt, M., 2018. Age and gender based workload constraint for assembly line worker assignment and balancing problem in a textile firm. Int. J. Ind.-Erg.-Theory Appl. Prac. 25 (1), 1-17, Place: Cincinnati Publisher: Univ Cincinnati Industrial Engineering WOS:000431221200001.

Egilmez, G., Erenay, B., Süer, G., 2014. Stochastic skill-based manpower allocation in a cellular manufacturing system. J. Manuf. Syst. 33 (4), 578-588.

Eitzen, G., Panton, D., Mills, G., 2004. Multi-skilled workforce optimisation. Ann. Oper. Res. 127 (1), 359-372, Place: Dordrecht Publisher: Kluwer Academic Publ WOS:000220092600011.

El Hachemi, N., El Hallaoui, I., Gendreau, M., Rousseau, L.-M., 2015. Flow-based integer linear programs to solve the weekly log-truck scheduling problem. Ann. Oper. Res. 232 (1), 87-97, Place: Dordrecht Publisher: Springer WOS:000359747200005.

Elmaghraby, S., 1990. Economic manufacturing quantities under conditions of learning and forgetting (EMQ/LaF). Prod. Plan. Control 1 (4), 196-208.

Erding, O., Yeow, P.H., 2011. Proving external validity of ergonomics and quality relationship through review of real-world case studies. Int. J. Prod. Res. 49 (4), 949-962, Publisher: Taylor & Francis eprint: https://doi.org/10.1080/00207540903555502, URL https://doi.org/10.1080/00207540903555502.

Eren, T., 2009. A bicriteria parallel machine scheduling with a learning effect of setup and removal times. Appl. Math. Model. 33 (2), 1141-1150, Place: New York Publisher: Elsevier Science Inc WOS:000261301400038.

Erera, A., Karacik, B., Savelsbergh, M., 2008. A dynamic driver management scheme for less-than-truckload carriers. Comput. Oper. Res. 35 (11), 3397-3411, Place: Oxford Publisher: Pergamon-Elsevier Science Ltd WOS:000255671800002.

Eskandarzadeh, S., Fahimnia, B., 2022. Rest break policy comparison for heavy vehicle drivers in Australia. Transp. Res. E 159, 102518, URL https://www.webofscience.com/wos/woscc/full-record/WOS:000790905100012, Place: Oxford Publisher: Pergamon-Elsevier Science Ltd WOS:000790905100012.

Fang, K., Wang, S., Pinedo, M., Chen, L., Chu, F., 2021. A combinatorial Benders decomposition algorithm for parallel machine scheduling with working-time restrictions. European J. Oper. Res. 291 (1), 128-146.

Feng, X., Hu, X., 2021. A heuristic solution approach to order Batching and sequencing for manual picking and packing lines considering fatiguing effect. Sci. Program. 2021.

Ferjani, A., Ammar, A., Pierreval, H., Elkosantini, S., 2017. A simulation-optimization based heuristic for the online assignment of multi-skilled workers subjected to fatigue in manufacturing systems. Comput. Ind. Eng. 112, 663-674, Place: Oxford Publisher: Pergamon-Elsevier Science Ltd WOS:004131326700056.

Finco, S., Abdous, M.-A., Calzavara, M., Battini, D., Delorme, X., 2020a. A bi-objective model to include workers' vibration exposure in assembly line design. Int. J. Prod. Res. ...

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Finco, S., Calzavara, M., Sgarbosa, F., Zennaro, I., 2021. Including rest allowance in mixed-model assembly lines. Int. J. Prod. Res. 59 (24), 7468-7490.

Fini, A.A.F., Akbarnezhad, A., Rashidi, T.H., Waller, S.T., 2017. Job assignment based on brain demands and human resource strategies. J. Constr. Eng. Manag. 143 (5), 04016123, Place: Reston Publisher: Asce-Amer Soc Civil Engineers WOS:000398563900015.

Fowler, J.W., Wirojanagud, P., Gel, E.S., 2008. Heuristics for workforce planning with worker differences. European J. Oper. Res. 190 (3), 724-740, Place: Amsterdam Publisher: Elsevier Science Bv WOS:000256902800010.
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