Daniel Mullins

7 papers receiving 495 citations

Daniel Mullins's Hit Papers

Is It Good to Cooperate? Testing the Theory of Morality-as-Cooperation in 60 Societies 2019 · 287 citations
2870+2+4Years since publication50100150200250

Peers

Daniel Mullins
Comparison fields: 5 of 105
  • Archeology 8
  • Cognitive Neuroscience 133
  • Safety Research 55
  • Social Psychology 124
  • Paleontology 44
Replace Eric Schniter with:
Eric Schniter United States
Geoff Kushnick United States
Phillip S. Meilinger United States
Anne C. Pisor United States
Azar Gat Israel
Michelle Scalise Sugiyama United States
Charles D. Laughlin Canada
Thomas S. Abler Canada
Marie-Claude Dupré France
David 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

7 of 7 papers shown
#Work
1
Is It Good to Cooperate? Testing the Theory of Morality-as-Cooperation in 60 Societies
Hit paper breakdown →
2019287
2 201767
3 201560
4 200648
5 201231
6 201821
7 20119

About Daniel Mullins

Daniel Mullins is a scholar working on Sociology and Political Science, Ecology, Cultural Studies, Demography and Political Science and International Relations, having authored 7 papers that have together received 523 indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (4 papers), Language and cultural evolution (2 papers), Culture, Economy, and Development Studies (2 papers), World Systems and Global Transformations (1 paper), Experimental Behavioral Economics Studies (1 paper), Wildlife Ecology and Conservation (1 paper), Child Nutrition and Water Access (1 paper) and Psychology of Moral and Emotional Judgment (1 paper). The work is most often cited by research in Archeology (8 citations), Cognitive Neuroscience (133 citations), Safety Research (55 citations), Social Psychology (124 citations) and Paleontology (44 citations). Daniel Mullins has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Harvey Whitehouse, Oliver Scott Curry, Jack M. Broughton, Edward H. Allison, Robin Naidoo, Quentin D. Atkinson, Brendan Fisher, Kiersten Johnson, Peter Turchin and Pieter François. Their work appears in journals such as American Sociological Review, Agriculture & Food Security, Current Anthropology, Journal of Archaeological Science and Journal of Economic Behavior & Organization.

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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