Brian Winn

34 papers receiving 886 citations

Peers

Brian Winn
Comparison fields: 5 of 117
  • Applied Psychology 129
  • Developmental and Educational Psychology 275
  • Human-Computer Interaction 80
  • Neuropsychology and Physiological Psychology 16
  • Social Psychology 161
Replace Bonne J. H. Zijlstra with:
Bonne J. H. Zijlstra Netherlands
Luís Eduardo Garrido Dominican Republic
Shih‐Yin Lin United States
Michelle Colder Carras United States
Sijia Yang United States
R. M. Brown United States
David Kahn United States
David E. Barrett United States
Joseph R. Miles United States
Jamie N. Pearson United States
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Citations per field
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Citations per year

Countries citing papers authored by Brian Winn

Since Specialization
Citations

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

Fields of papers citing papers by Brian Winn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012277
2 2008202
3 201366
4 201454
5 200831
6 201524
7 201623
8 201522
9 201820
10 200319
11 200018
12 200318
13 200718
14
Resolving Conflicts in Educational Game Design through Playtesting
200617
15 200514
16 201214
17 200512
18 201712
19 200611
20 201610

About Brian Winn

Brian Winn is a scholar working on Statistical and Nonlinear Physics, Sociology and Political Science, Developmental and Educational Psychology, Social Psychology and Mathematical Physics, having authored 37 papers that have together received 944 indexed citations. Recurring topics across this work include Quantum chaos and dynamical systems (10 papers), Behavioral Health and Interventions (7 papers), Educational Games and Gamification (7 papers), Impact of Technology on Adolescents (6 papers), Random Matrices and Applications (6 papers), Motivation and Self-Concept in Sports (5 papers), Spectral Theory in Mathematical Physics (4 papers) and Molecular spectroscopy and chirality (3 papers). The work is most often cited by research in Applied Psychology (129 citations), Developmental and Educational Psychology (275 citations), Human-Computer Interaction (80 citations), Neuropsychology and Physiological Psychology (16 citations) and Social Psychology (161 citations). Brian Winn has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Karin A. Pfeiffer, Wei Peng, Jih‐Hsuan Tammy Lin, Mildred A. Horodynski, Kami J. Silk, Carrie Heeter, John F. Sherry, Deborah L. Feltz, Norbert L. Kerr and Andrea Bozoki. Their work appears in journals such as Games for Health Journal, Communications in Mathematical Physics, Nonlinearity, Psychology of sport and exercise and BMC Psychology.

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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