Daniel Mullins

1.5k total citations · 1 hit paper
7 papers, 506 citations indexed

About

Daniel Mullins is a scholar working on Sociology and Political Science, Ecology and Cultural Studies. According to data from OpenAlex, Daniel Mullins has authored 7 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Sociology and Political Science, 2 papers in Ecology and 2 papers in Cultural Studies. Recurrent topics in Daniel Mullins's work include Evolutionary Game Theory and Cooperation (4 papers), Language and cultural evolution (2 papers) and Culture, Economy, and Development Studies (2 papers). Daniel Mullins is often cited by papers focused on Evolutionary Game Theory and Cooperation (4 papers), Language and cultural evolution (2 papers) and Culture, Economy, and Development Studies (2 papers). Daniel Mullins collaborates with scholars based in United Kingdom, United States and Canada. Daniel Mullins's co-authors include Harvey Whitehouse, Oliver Scott Curry, Jack M. Broughton, Quentin D. Atkinson, Kiersten Johnson, Edward H. Allison, Robin Naidoo, Brendan Fisher, Thomas E. Currie and Pieter François and has published in prestigious journals such as American Sociological Review, Journal of Archaeological Science and Journal of Economic Behavior & Organization.

In The Last Decade

Daniel Mullins

7 papers receiving 479 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Is It Good to Cooperate? Testing the Theory of Morality-as-Cooperation in 60 Societies

2019 276 citations Oliver Scott Curry, Daniel Mullins et al. Current Anthropology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel Mullins United Kingdom	7	209	129	120	54	45	7	506
Geoff Kushnick United States	12	134 0.6×	57 0.4×	106 0.9×	35 0.6×	31 0.7×	26	377
Eric Schniter United States	15	250 1.2×	88 0.7×	177 1.5×	218 4.0×	25 0.6×	49	711
Michelle Scalise Sugiyama United States	11	145 0.7×	58 0.4×	129 1.1×	24 0.4×	18 0.4×	26	471
Azar Gat Israel	12	482 2.3×	33 0.3×	91 0.8×	42 0.8×	50 1.1×	38	811
Phillip S. Meilinger United States	7	179 0.9×	59 0.5×	131 1.1×	26 0.5×	18 0.4×	36	439
Shane J. Macfarlan United States	14	395 1.9×	75 0.6×	189 1.6×	168 3.1×	26 0.6×	37	705
Kathryn Demps United States	9	373 1.8×	45 0.3×	185 1.5×	105 1.9×	14 0.3×	18	651
Anne C. Pisor United States	16	447 2.1×	121 0.9×	267 2.2×	75 1.4×	10 0.2×	28	780
David Hyndman Australia	12	260 1.2×	35 0.3×	134 1.1×	74 1.4×	43 1.0×	29	725
Rowe V. Cadeliña	3	207 1.0×	34 0.3×	115 1.0×	74 1.4×	29 0.6×	5	406

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-authorship network of co-authors of Daniel Mullins

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Mullins. A scholar is included among the top collaborators of Daniel Mullins 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 Daniel Mullins. Daniel Mullins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Curry, Oliver Scott, Daniel Mullins, & Harvey Whitehouse. (2019). Is It Good to Cooperate? Testing the Theory of Morality-as-Cooperation in 60 Societies. Current Anthropology. 60(1). 47–69. 276 indexed citations breakdown →

2.

Mullins, Daniel, Daniel Hoyer, Christina Collins, et al.. (2018). A Systematic Assessment of “Axial Age” Proposals Using Global Comparative Historical Evidence. American Sociological Review. 83(3). 596–626. 21 indexed citations

3.

Fisher, Brendan, et al.. (2017). Integrating fisheries and agricultural programs for food security. Agriculture & Food Security. 6(1). 65 indexed citations

4.

Turchin, Peter, Rob Brennan, Thomas E. Currie, et al.. (2015). Seshat: The Global History Databank. 6(1). 58 indexed citations

5.

Mullins, Daniel, Harvey Whitehouse, & Quentin D. Atkinson. (2012). The role of writing and recordkeeping in the cultural evolution of human cooperation. Journal of Economic Behavior & Organization. 90. S141–S151. 30 indexed citations

6.

Alemayehu, Demissie, Ali Riaz, Jose Ma. J. Alvir, et al.. (2011). Examination of Data, Analytical Issues and Proposed Methods for Conducting Comparative Effectiveness Research Using "Real-World Data". Journal of Managed Care Pharmacy. 17(9 Supp A). 1–37. 9 indexed citations

7.

Broughton, Jack M., et al.. (2006). Avian resource depression or intertaxonomic variation in bone density? A test with San Francisco Bay avifaunas. Journal of Archaeological Science. 34(3). 374–391. 47 indexed citations

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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