Daniel Mullins
Impact in
- Archeology top 10%
- Paleontology top 10%
- Archaeology and ancient environmental studies
Papers in
-
- Language and cultural evolution 3
-
- Culture, Economy, and Development Studies 3
- Co-authors
- Harvey Whitehouse (4 shared papers)Oliver Scott Curry (1 shared paper)Jack M. Broughton (1 shared paper)Quentin Douglas Atkinson (1 shared paper)Edward H. Allison (1 shared paper)Robin Naidoo (1 shared paper)Thomas E. Currie (2 shared papers)Brendan Fisher (1 shared paper)
- Journals
- Journal of Archaeological Science (1 paper)Journal of Economic Behavior & Organization (1 paper)Current Anthropology (1 paper)American Sociological Review (1 paper)Agriculture & Food Security (1 paper)
- Partner nations
- United KingdomUnited StatesIreland
In The Last Decade
Daniel Mullins
9 papers receiving 709 citations
Daniel Mullins's Hit Papers
Peers
Comparison fields: 5 of 112
- Archeology 13
- Paleontology 84
- Social Psychology 191
- Cognitive Neuroscience 168
- Cultural Studies 75
Countries citing papers authored by Daniel Mullins
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Is It Good to Cooperate? Testing the Theory of Morality-as-Cooperation in 60 Societies Hit paper breakdown → | 2019 | 363 |
| 2 | 2017 | 146 | |
| 3 | 2015 | 95 | |
| 4 | 2017 | 73 | |
| 5 | 2006 | 48 | |
| 6 | 2012 | 30 | |
| 7 | 2018 | 24 | |
| 8 | 2020 | 14 | |
| 9 | 2011 | 7 | |
| 10 | 2022 | 0 |
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, Quentin Douglas Atkinson, Edward H. Allison, Robin Naidoo, Thomas E. Currie, Brendan Fisher, Kiersten Johnson and Peter Turchin. Their work appears in journals such as Journal of Archaeological Science, Journal of Economic Behavior & Organization, Current Anthropology, American Sociological Review and Agriculture & Food Security.
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.