Mitch Brown

84 papers receiving 858 citations

Peers

Mitch Brown
Comparison fields: 5 of 88
  • Experimental and Cognitive Psychology 394
  • Cognitive Neuroscience 346
  • Social Psychology 330
  • Health Informatics 14
  • Applied Psychology 46
Replace Stephen Loughnan with:
Stephen Loughnan Australia
Scott Akalis United States
Mandy Hütter Germany
Candice M. Mills United States
Leonid Tiokhin United States
John E. Edlund United States
Jessica D. Remedios United States
Konstantin O. Tskhay Canada
April Bleske‐Rechek United States
Selma C. Rudert Germany
Mitch Brown relative to Stephen Loughnan Australia Stephen Loughnan's profile →
Citations per field
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Stephen Loughnan · 1×
Citations per year

Countries citing papers authored by Mitch Brown

Since Specialization
Citations

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

Fields of papers citing papers by Mitch Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mitch Brown, 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 Mitch Brown Line = papers co-authored together Mitch Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201646
2 201637
3 202133
4 202032
5 201927
6 201627
7 201726
8 201725
9 201724
10 201722
11 202019
12 201619
13 201818
14 201518
15 201818
16 201917
17 201917
18 202216
19 201715
20 202015

About Mitch Brown

Mitch Brown is a scholar working on Experimental and Cognitive Psychology, Sociology and Political Science, Social Psychology, Cognitive Neuroscience and Clinical Psychology, having authored 93 papers that have together received 886 indexed citations. Recurring topics across this work include Evolutionary Psychology and Human Behavior (43 papers), Psychology of Moral and Emotional Judgment (32 papers), Social and Intergroup Psychology (16 papers), Body Image and Dysmorphia Studies (12 papers), Cultural Differences and Values (11 papers), Consumer Behavior in Brand Consumption and Identification (11 papers), Evolutionary Game Theory and Cooperation (10 papers) and Academic integrity and plagiarism (9 papers). The work is most often cited by research in Experimental and Cognitive Psychology (394 citations), Cognitive Neuroscience (346 citations), Social Psychology (330 citations), Health Informatics (14 citations) and Applied Psychology (46 citations). Mitch Brown has collaborated with scholars based in United States, Canada and Puerto Rico. Frequent co-authors include Donald F. Sacco, Samuel V. Bruton, Christopher J. N. Lustgraaf, Robert E. McGrath, Lucas A. Keefer, Steven G. Young, Kurt Hugenberg, Hyemin Han, Robert E. McGrath and Stephen G. Young. Their work appears in journals such as Personality and Individual Differences, Journal of Empirical Research on Human Research Ethics, Journal of Social and Personal Relationships, Personal Relationships and Science and Engineering Ethics.

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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