Mathematical Social Sciences

2.0k papers and 25.6k indexed citations i.

About

The 2.0k papers published in Mathematical Social Sciences in the last decades have received a total of 25.6k indexed citations. Papers published in Mathematical Social Sciences usually cover Economics and Econometrics (1.5k papers), Management Science and Operations Research (969 papers) and General Decision Sciences (296 papers) specifically the topics of Game Theory and Voting Systems (897 papers), Economic theories and models (573 papers) and Game Theory and Applications (504 papers). The most active scholars publishing in Mathematical Social Sciences are F.W. Roush, William Thomson, Ronald Α. Heiner, Barry O’Neill, K.H. Kim, Joseph Y. Halpern, Moshe Y. Vardi, Ronald Fagin, Yoram Moses and Reinhard Selten.

In The Last Decade

Fields of papers published in Mathematical Social Sciences

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Mathematical Social Sciences. 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 Mathematical Social Sciences.

Countries where authors publish in Mathematical Social Sciences

Since Specialization
Citations

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