Gillian R. Brown

4.2k total citations
65 papers, 2.5k citations indexed

About

Gillian R. Brown is a scholar working on Social Psychology, Sociology and Political Science and Experimental and Cognitive Psychology. According to data from OpenAlex, Gillian R. Brown has authored 65 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Social Psychology, 20 papers in Sociology and Political Science and 19 papers in Experimental and Cognitive Psychology. Recurrent topics in Gillian R. Brown's work include Evolutionary Psychology and Human Behavior (17 papers), Neuroendocrine regulation and behavior (13 papers) and Evolutionary Game Theory and Cooperation (12 papers). Gillian R. Brown is often cited by papers focused on Evolutionary Psychology and Human Behavior (17 papers), Neuroendocrine regulation and behavior (13 papers) and Evolutionary Game Theory and Cooperation (12 papers). Gillian R. Brown collaborates with scholars based in United Kingdom, United States and Australia. Gillian R. Brown's co-authors include Kevin N. Laland, Nishad Kapadia, Joan B. Silk, Catharine Cross, Monique Borgerhoff Mulder, Lisa G. Rapaport, Karen A. Spencer, Alan F. Dixson, Johan J. Bolhuis and Robert C. Richardson and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Gillian R. Brown

60 papers receiving 2.4k citations

Peers

Gillian R. Brown
Comparison fields: 5 of 170
  • Social Psychology 888
  • Experimental and Cognitive Psychology 548
  • Sociology and Political Science 461
  • Ecology, Evolution, Behavior and Systematics 356
  • Gender Studies 245
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Citations per field, relative to Gillian R. Brown
Gillian R. Brown · 1×
Citations per year, relative to Gillian R. Brown
Gillian R. Brown · 1×

Countries citing papers authored by Gillian R. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Gillian R. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gillian R. Brown. 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 Gillian R. Brown. The network helps show where Gillian R. Brown may publish in the future.

Co-authorship network of co-authors of Gillian R. Brown

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 8
5 8
6 6
7 23
8 18
9 10
10 1
11 32
12 70
13 85
14 138
15 35
16 30
17 30
18 44
19 46
20 16

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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