Sarah Mathew

62 total papers · 2.4k total citations
24 papers, 1.2k citations indexed

About

Sarah Mathew is a scholar working on Sociology and Political Science, Experimental and Cognitive Psychology and Safety Research. According to data from OpenAlex, Sarah Mathew has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Sociology and Political Science, 12 papers in Experimental and Cognitive Psychology and 9 papers in Safety Research. Recurrent topics in Sarah Mathew's work include Evolutionary Game Theory and Cooperation (15 papers), Evolutionary Psychology and Human Behavior (12 papers) and Experimental Behavioral Economics Studies (9 papers). Sarah Mathew is often cited by papers focused on Evolutionary Game Theory and Cooperation (15 papers), Evolutionary Psychology and Human Behavior (12 papers) and Experimental Behavioral Economics Studies (9 papers). Sarah Mathew collaborates with scholars based in United States, Germany and Canada. Sarah Mathew's co-authors include Robert Boyd, Matthew Zefferman, Charles Perreault, Carla Handley, Paul E. Smaldino, Adrian V. Bell, Nicole Naar, Ryan Baldini, Timothy M. Waring and Vicken Hillis and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Sarah Mathew

22 papers receiving 1.1k citations

Hit Papers

Cultural group selection ... 2014 2026 2018 2022 2014 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sarah Mathew 847 313 313 312 187 24 1.2k
Adrian V. Bell 798 0.9× 311 1.0× 203 0.6× 446 1.4× 247 1.3× 28 1.4k
Joe Henrich 673 0.8× 182 0.6× 211 0.7× 294 0.9× 300 1.6× 11 1.0k
Daniel Major‐Smith 555 0.7× 415 1.3× 106 0.3× 363 1.2× 141 0.8× 49 1.2k
Robert Knox Dentan 624 0.7× 283 0.9× 169 0.5× 202 0.6× 61 0.3× 34 981
Maciej Chudek 740 0.9× 238 0.8× 196 0.6× 495 1.6× 189 1.0× 13 1.2k
James Thompson 592 0.7× 481 1.5× 109 0.3× 348 1.1× 125 0.7× 47 1.4k
Jung-Kyoo Choi 869 1.0× 248 0.8× 445 1.4× 224 0.7× 44 0.2× 13 1.2k
Abigail E. Page 558 0.7× 405 1.3× 104 0.3× 364 1.2× 133 0.7× 42 1.2k
John Q. Patton 732 0.9× 330 1.1× 573 1.8× 312 1.0× 45 0.2× 13 1.4k
Bailey R. House 489 0.6× 270 0.9× 175 0.6× 519 1.7× 45 0.2× 17 980

Countries citing papers authored by Sarah Mathew

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Mathew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah Mathew. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sarah Mathew. The network helps show where Sarah Mathew may publish in the future.

Co-authorship network of co-authors of Sarah Mathew

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Mathew. A scholar is included among the top collaborators of Sarah Mathew based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sarah Mathew. Sarah Mathew is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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