This map shows the geographic impact of research published in Race & Class. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in Race & Class with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Race & Class more than expected).
This network shows the impact of papers published in Race & Class. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Race & Class.
About Race & Class
The 1.2k papers published in Race & Class in the last decades have received a total of 13.1k indexed citations . Papers published in Race & Class usually cover Sociology and Political Science (484 papers), Political Science and International Relations (222 papers), Cultural Studies (64 papers), Anthropology (67 papers) and Music (21 papers) specifically the topics of Migration, Refugees, and Integration (81 papers), Race, History, and American Society (61 papers), Jewish and Middle Eastern Studies (60 papers), Caribbean history, culture, and politics (50 papers), Middle East Politics and Society (31 papers), Migration, Health and Trauma (30 papers), African history and culture studies (29 papers) and Australian History and Society (28 papers). The most active scholars publishing in Race & Class are Liz Fekete, Arun Kundnani, A. Sivanandan, Frances Webber, Michael Kwet, Jon Burnett, Chris Searle, Jenny Bourne, William I. Robinson and Aijaz Ahmad.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.