Population Games and Evolutionary Dynamics

910 indexed citations
published 2005

Impact in

Classified as

Authors
William H. Sandholm
Journal
RePEc: Research Papers in Economics

In The Last Decade

doi.org/w7679131 →

Countries where authors are citing Population Games and Evolutionary Dynamics

Specialization
Citations

This map shows the geographic impact of Population Games and Evolutionary Dynamics. 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 Population Games and Evolutionary Dynamics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Population Games and Evolutionary Dynamics more than expected).

Fields of papers citing Population Games and Evolutionary Dynamics

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Population Games and Evolutionary Dynamics. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Population Games and Evolutionary Dynamics.

About Population Games and Evolutionary Dynamics

This paper, published in 2005, received 910 indexed citations . Written by William H. Sandholm covering the research area of Sociology and Political Science and Management Science and Operations Research. It is primarily cited by scholars working on Management Science and Operations Research (411 citations), Sociology and Political Science (401 citations), Economics and Econometrics (229 citations), Genetics (175 citations) and Public Health, Environmental and Occupational Health (166 citations). Published in RePEc: Research Papers in Economics.

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.

This paper is also available at doi.org/w7679131.

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