Depicting communities of Romani studies: on the who, when and where of Roma related scientific publications Contemporary research on Roma from diverse disciplines has grown strongly during the last years. This is the first bibliometric study on the field of Romani studies considering the period 1997xe2x80x932018 with the aims of mapping scholarxe2x80x99s disciplines and analyzing localization and their thematic contributions. The world evolution of Roma research topics and their citation impacts has been analyzed using a Network Analysis approach. The Scopus database was used to retrieve bibliographic records on Gypsy and Roma research. The bibliometric analysis of scholarly endeavour identifies three principal clusters: xe2x80x98History and Culturexe2x80x99, xe2x80x98Educationxe2x80x99, and xe2x80x98Discrimination and Policyxe2x80x99. Results shows that scholars became more attentive to Roma issues as it became an important topic in public debate. Informed by this analysis, questions are raised about how to strengthen connectivity, collaborative research and knowledge exchange beyond national and disciplinary borders. In the term citation map among the most followed themes by number of normalized average quotations, the topics of xe2x80x98Discrimination and Policyxe2x80x99 analysis undeniably emerges. In the current historical moment characterised by rising ethnonationalism and racism we intend that this paper informs further research that will deepen our understanding of the contributions of different social science disciplines with regards to epistemology, methodology and impact.

Theme Mapping and Bibliometrics Analysis of One Decade of Big Data Research in the Scopus Database Recently, the popularity of big data as a research field has shown continuous and widescale growth. This study aims to capture the scientific structure and topic evolution of big data research using bibliometrics and text miningbased analysis methods. Bibliographic data of journal articles regarding big data published between 2009 to 2018 were collected from the Scopus database and analyzed. The results show a significant growth of publications since 2014. Furthermore, the findings of this study highlight the core journals, most cited articles, top productive authors, countries, and institutions. Secondly, a unique approach to identifying and analyzing major research themes in big data publications was proposed. Keywords were clustered, and each cluster was labeled as a theme. Moreover, the papers were divided into four subperiods to observe the thematic evolution. The theme mapping reveals that research on big data is dominated by big data analytics, which covers methods, tools, supporting infrastructure, and applications. Other critical aspects of big data research are security and privacy. Social networks and the Internet of things are significant sources of big data, and the resources and services offered by cloud computing strongly support the management and processing of big data.