Big Data & Society

About

The 792 papers published in Big Data & Society in the last decades have received a total of 25.0k indexed citations. Papers published in Big Data & Society usually cover Sociology and Political Science (382 papers), Safety Research (249 papers) and Information Systems (133 papers) specifically the topics of Ethics and Social Impacts of AI (249 papers), Privacy, Security, and Data Protection (124 papers) and Social Media and Politics (73 papers). The most active scholars publishing in Big Data & Society are Rob Kitchin, Jenna Burrell, Min Kyung Lee, Jathan Sadowski, Nick Seaver, Linnet Taylor, David Lyon, Andrej Zwitter, Paul Dourish and Deborah Lupton.

In The Last Decade

Big Data & Society

723 papers receiving 23.4k citations

Fields of papers published in Big Data & Society

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Big Data & Society. 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 Big Data & Society.

Countries where authors publish in Big Data & Society

Since Specialization
Citations

This map shows the geographic impact of research published in Big Data & Society. 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 Big Data & Society with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Big Data & Society more than expected).

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.

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2026