Daniel Redhead

704 total citations
22 papers, 360 citations indexed

About

Daniel Redhead is a scholar working on Sociology and Political Science, Experimental and Cognitive Psychology and Safety Research. According to data from OpenAlex, Daniel Redhead has authored 22 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Sociology and Political Science, 8 papers in Experimental and Cognitive Psychology and 6 papers in Safety Research. Recurrent topics in Daniel Redhead's work include Evolutionary Game Theory and Cooperation (14 papers), Evolutionary Psychology and Human Behavior (7 papers) and Experimental Behavioral Economics Studies (6 papers). Daniel Redhead is often cited by papers focused on Evolutionary Game Theory and Cooperation (14 papers), Evolutionary Psychology and Human Behavior (7 papers) and Experimental Behavioral Economics Studies (6 papers). Daniel Redhead collaborates with scholars based in Germany, United Kingdom and United States. Daniel Redhead's co-authors include Christopher von Rueden, Rick O’Gorman, Cody T. Ross, Joey T. Cheng, Eleanor A. Power, Tom Foulsham, Charles Driver, Hillard Kaplan, Michael Gurven and Richard McElreath and has published in prestigious journals such as SHILAP Revista de lepidopterología, Trends in Cognitive Sciences and Philosophical Transactions of the Royal Society B Biological Sciences.

In The Last Decade

Daniel Redhead

20 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Redhead Germany	11	247	121	110	77	33	22	360
Daisuke Nakanishi Japan	6	248 1.0×	45 0.4×	93 0.8×	84 1.1×	20 0.6×	25	397
Matthew Zefferman United States	6	355 1.4×	123 1.0×	145 1.3×	116 1.5×	53 1.6×	9	470
Qiao-Qiao He China	9	245 1.0×	174 1.4×	55 0.5×	97 1.3×	48 1.5×	23	365
Karolina Sylwester United Kingdom	6	314 1.3×	177 1.5×	86 0.8×	163 2.1×	23 0.7×	6	455
Cristina Moya United States	13	247 1.0×	128 1.1×	165 1.5×	47 0.6×	73 2.2×	26	467
Brian Paciotti United States	8	274 1.1×	53 0.4×	92 0.8×	86 1.1×	56 1.7×	13	408
Laura Fortunato United Kingdom	12	256 1.0×	178 1.5×	84 0.8×	54 0.7×	52 1.6×	23	468
Shakti Lamba United Kingdom	7	192 0.8×	82 0.7×	76 0.7×	133 1.7×	40 1.2×	10	269
Ryan Baldini United States	6	333 1.3×	108 0.9×	128 1.2×	96 1.2×	63 1.9×	7	439
Terence Daniel Dores Cruz Netherlands	9	245 1.0×	132 1.1×	73 0.7×	92 1.2×	5 0.2×	16	291

Countries citing papers authored by Daniel Redhead

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Redhead

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Redhead

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

All Works

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20 of 20 papers shown

Sosa, Sebastiàn, et al.. (2025). Robust Bayesian analysis of animal networks subject to biases in sampling intensity and censoring. Methods in Ecology and Evolution. 16(6). 1273–1294. 1 indexed citations

Myers, Sarah, et al.. (2025). Social clustering of preference for female genital mutilation/cutting in south-central Ethiopia. Nature Human Behaviour. 9(9). 1802–1814. 1 indexed citations

Ostner, Julia, et al.. (2025). A causal framework for the drivers of animal social network structure. PLoS Computational Biology. 21(9). e1013370–e1013370. 1 indexed citations

Redhead, Daniel, et al.. (2025). Transmission networks of long-term and short-term knowledge in a foraging society. PNAS Nexus. 4(9). pgaf258–pgaf258.

Redhead, Daniel, et al.. (2024). Evidence of direct and indirect reciprocity in network-structured economic games. SHILAP Revista de lepidopterología. 2(1). 44–44. 9 indexed citations

Redhead, Daniel. (2024). Social structure and the evolutionary ecology of inequality. Trends in Cognitive Sciences. 29(2). 201–213.

Ross, Cody T., et al.. (2024). Women’s subsistence networks scaffold cultural transmission among BaYaka foragers in the Congo Basin. Science Advances. 10(2). eadj2543–eadj2543. 12 indexed citations

Ross, Cody T., Richard McElreath, & Daniel Redhead. (2023). Modelling animal network data in R using STRAND. Journal of Animal Ecology. 93(3). 254–266. 14 indexed citations

Redhead, Daniel, Richard McElreath, & Cody T. Ross. (2023). Reliable network inference from unreliable data: A tutorial on latent network modeling using STRAND.. Psychological Methods. 29(6). 1100–1122. 18 indexed citations

10.

Redhead, Daniel, et al.. (2023). The interdependence of relational and material wealth inequality in Pemba, Zanzibar. Philosophical Transactions of the Royal Society B Biological Sciences. 378(1883). 20220288–20220288. 6 indexed citations

11.

Bacco, Caterina De, Tracy M. Sweet, Jean-Gabriel Young, et al.. (2023). Latent network models to account for noisy, multiply reported social network data. Journal of the Royal Statistical Society Series A (Statistics in Society). 186(3). 355–375. 10 indexed citations

12.

Gettler, Lee T., et al.. (2023). BaYaka forager food sharing networks in the Congo Basin: The roles of gender homophily and kin sharing. American Journal of Biological Anthropology. 181(1). 59–69. 9 indexed citations

13.

Redhead, Daniel, et al.. (2022). Political Alliance Formation and Cooperation Networks in the Utah State Legislature. Human Nature. 33(1). 1–21. 2 indexed citations

14.

Redhead, Daniel & Eleanor A. Power. (2022). Social hierarchies and social networks in humans. Philosophical Transactions of the Royal Society B Biological Sciences. 377(1845). 20200440–20200440. 43 indexed citations

15.

Redhead, Daniel, et al.. (2022). Friendship and partner choice in rural Colombia. Evolution and Human Behavior. 44(5). 430–441. 14 indexed citations

16.

Ross, Cody T. & Daniel Redhead. (2021). DieTryin: An R package for data collection, automated data entry, and post-processing of network-structured economic games, social networks, and other roster-based dyadic data. Behavior Research Methods. 54(2). 611–631. 11 indexed citations

17.

Redhead, Daniel & Christopher von Rueden. (2021). Coalitions and conflict: A longitudinal analysis of men's politics. Evolutionary Human Sciences. 3. e31–e31. 31 indexed citations

18.

Redhead, Daniel, Nathan Dhaliwal, & Joey T. Cheng. (2021). Taking charge and stepping in: Individuals who punish are rewarded with prestige and dominance. Social and Personality Psychology Compass. 15(2). 27 indexed citations

19.

Rueden, Christopher von, Daniel Redhead, Rick O’Gorman, Hillard Kaplan, & Michael Gurven. (2019). The dynamics of men's cooperation and social status in a small-scale society. Proceedings of the Royal Society B Biological Sciences. 286(1908). 20191367–20191367. 69 indexed citations

20.

Redhead, Daniel. (2016). Rank Differentiation among Adolescent Hierarchies in Romanian State Care. Indiana Magazine of History (Indiana University). 33(2). 26–45. 2 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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