Journal of Computational Social Science

295 papers and 2.0k indexed citations i.

About

The 295 papers published in Journal of Computational Social Science in the last decades have received a total of 2.0k indexed citations. Papers published in Journal of Computational Social Science usually cover Sociology and Political Science (147 papers), Statistical and Nonlinear Physics (76 papers) and Artificial Intelligence (75 papers) specifically the topics of Misinformation and Its Impacts (60 papers), Opinion Dynamics and Social Influence (59 papers) and Complex Network Analysis Techniques (49 papers). The most active scholars publishing in Journal of Computational Social Science are Emilio Ferrara, Giovanni Luca Ciampaglia, Filippo Menczer, Vwani Roychowdhury, Pavan Holur, Timothy R. Tangherlini, Shadi Shahsavari, Luca Luceri, Stefano Cresci and Zhan Xu.

In The Last Decade

Fields of papers published in Journal of Computational Social Science

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Computational Social Science. 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 Journal of Computational Social Science.

Countries where authors publish in Journal of Computational Social Science

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Computational Social Science. 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 Journal of Computational Social Science with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Journal of Computational Social Science 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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