Daniel Mullins

9 papers receiving 709 citations

Daniel Mullins's Hit Papers

Is It Good to Cooperate? Testing the Theory of Morality-as-Cooperation in 60 Societies 2019 · 363 citations
3630+2+4Years since publication100200300

Peers

Daniel Mullins
Comparison fields: 5 of 112
  • Archeology 13
  • Paleontology 84
  • Social Psychology 191
  • Cognitive Neuroscience 168
  • Cultural Studies 75
Replace Eric Schniter with:
Eric Schniter United States
Richard J. “Dick” Preston Canada
Jung-Kyoo Choi South Korea
Edward A. L. Turner United Kingdom
Michelle A. Kline United States
Joe Henrich United States
Azar Gat Israel
Michael L. Burton United States
David A. Nolin United States
David Charles Hyndman Australia
Daniel Mullins relative to Eric Schniter United States Eric Schniter's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel Mullins

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Mullins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Mullins. 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 Daniel Mullins. The network helps show where Daniel Mullins may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel Mullins, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Mullins Line = papers co-authored together Daniel Mullins links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Is It Good to Cooperate? Testing the Theory of Morality-as-Cooperation in 60 Societies
Hit paper breakdown →
2019363
2 2017146
3 201595
4 201773
5 200648
6 201230
7 201824
8 202014
9 20117
10 20220

About Daniel Mullins

Daniel Mullins is a scholar working on Cultural Studies, Demography, Sociology and Political Science, Economics and Econometrics and Classics, having authored 10 papers that have together received 800 indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (5 papers), Culture, Economy, and Development Studies (3 papers), Language and cultural evolution (3 papers), Complex Systems and Time Series Analysis (1 paper), Coastal and Marine Management (1 paper), Psychology of Moral and Emotional Judgment (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper) and Coral and Marine Ecosystems Studies (1 paper). The work is most often cited by research in Archeology (13 citations), Paleontology (84 citations), Social Psychology (191 citations), Cognitive Neuroscience (168 citations) and Cultural Studies (75 citations). Daniel Mullins has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Harvey Whitehouse, Oliver Scott Curry, Jack M. Broughton, Brendan Fisher, Quentin Douglas Atkinson, Robin Naidoo, Edward H. Allison, Peter Turchin, Thomas E. Currie and Pieter François. Their work appears in journals such as Agriculture & Food Security, Journal of Economic Behavior & Organization, Proceedings of the National Academy of Sciences, Current Anthropology and American Sociological Review.

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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