Matthew Zefferman
Impact in
- Safety Research top 5%
- Experimental Behavioral Economics Studies
- Cultural Studies top 2%
- Language and cultural evolution
Papers in
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- Evolutionary Game Theory and Cooperation 5
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- Cultural Differences and Values 2
- Primate Behavior and Ecology 1
- Co-authors
- Sarah Mathew (4 shared papers)Cody T. Ross (1 shared paper)Paul E. Smaldino (1 shared paper)Kathryn Demps (1 shared paper)Emily K. Newton (1 shared paper)Nicole Naar (1 shared paper)Timothy M. Waring (1 shared paper)Adrian V. Bell (1 shared paper)
- Journals
- Evolution and Human Behavior (3 papers)Scientific Reports (1 paper)Sustainability Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Evolutionary Anthropology Issues News and Reviews (1 paper)
- Partner nations
- United States
In The Last Decade
Matthew Zefferman
9 papers receiving 460 citations
Matthew Zefferman's Hit Papers
Peers
Comparison fields: 5 of 69
- Safety Research 116
- Cultural Studies 97
- Experimental and Cognitive Psychology 123
- Sociology and Political Science 355
- Social Psychology 145
Countries citing papers authored by Matthew Zefferman
This map shows the geographic impact of Matthew Zefferman'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 Matthew Zefferman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Zefferman more than expected).
Fields of papers citing papers by Matthew Zefferman
This network shows the impact of papers produced by Matthew Zefferman. 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 Matthew Zefferman. The network helps show where Matthew Zefferman may publish in the future.
Co-authors
The 13 scholars most cited alongside Matthew Zefferman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Cultural group selection plays an essential role in explaining human cooperation: A sketch of the evidence Hit paper breakdown → | 2014 | 354 |
| 2 | 2015 | 61 | |
| 3 | 2014 | 17 | |
| 4 | 2017 | 12 | |
| 5 | 2021 | 10 | |
| 6 | 2020 | 9 | |
| 7 | 2016 | 4 | |
| 8 | 2023 | 2 | |
| 9 | 2014 | 1 |
About Matthew Zefferman
Matthew Zefferman is a scholar working on Sociology and Political Science, Social Psychology, Experimental and Cognitive Psychology, Safety Research and Cognitive Neuroscience, having authored 9 papers that have together received 470 indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (5 papers), Evolutionary Psychology and Human Behavior (4 papers), Experimental Behavioral Economics Studies (4 papers), Psychology of Moral and Emotional Judgment (3 papers), Cultural Differences and Values (2 papers), Primate Behavior and Ecology (1 paper), Animal Vocal Communication and Behavior (1 paper) and Evolution and Genetic Dynamics (1 paper). The work is most often cited by research in Safety Research (116 citations), Cultural Studies (97 citations), Experimental and Cognitive Psychology (123 citations), Sociology and Political Science (355 citations) and Social Psychology (145 citations). Matthew Zefferman has collaborated with scholars based in United States. Frequent co-authors include Sarah Mathew, Cody T. Ross, Paul E. Smaldino, Kathryn Demps, Emily K. Newton, Nicole Naar, Timothy M. Waring, Adrian V. Bell, Karl Frost and Peter J. Richerson. Their work appears in journals such as Evolution and Human Behavior, Scientific Reports, Sustainability Science, Proceedings of the National Academy of Sciences and Evolutionary Anthropology Issues News and Reviews.
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.