Dan Brown

27 papers receiving 431 citations

Peers

Dan Brown
Comparison fields: 5 of 88
  • General Decision Sciences 21
  • Gender Studies 59
  • Clinical Psychology 119
  • Literature and Literary Theory 42
  • Genetics 79
Replace Gregory Wood with:
Gregory Wood Australia
Richard C. Sprinthall
Sara van Erp Netherlands
Erin M. Harley United States
John Stephen Brennan United Kingdom
Matthew Sharpe Australia
Ruth J. Cronje United States
Michelle Riconscente United States
Pádraig MacCarron Ireland
Anders Tychsen Australia
Dan Brown relative to Gregory Wood Australia Gregory Wood's profile →
Citations per field
00.5×10×15×19.8×
Gregory Wood · 1×
Citations per year

Countries citing papers authored by Dan Brown

Since Specialization
Citations

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

Fields of papers citing papers by Dan Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198289
2 200669
3 201749
4 200537
5 201731
6 200730
7 200529
8 201425
9 199523
10 199516
11 198114
12 200513
13 20158
14 19876
15 20176
16 20205
17 20124
18 20194
19 20064
20 19793

About Dan Brown

Dan Brown is a scholar working on Clinical Psychology, Sociology and Political Science, Aerospace Engineering, Computer Vision and Pattern Recognition and Gender Studies, having authored 29 papers that have together received 475 indexed citations. Recurring topics across this work include Gambling Behavior and Treatments (6 papers), Digital Games and Media (4 papers), Music Technology and Sound Studies (3 papers), Sport and Mega-Event Impacts (3 papers), Music and Audio Processing (3 papers), Sports, Gender, and Society (3 papers), Consumer Market Behavior and Pricing (2 papers) and Air Traffic Management and Optimization (2 papers). The work is most often cited by research in General Decision Sciences (21 citations), Gender Studies (59 citations), Clinical Psychology (119 citations), Literature and Literary Theory (42 citations) and Genetics (79 citations). Dan Brown has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Jennings Bryant, Dolf Zillmann, Paul Comisky, Kevin Harrigan, Dan Gusfield, Jackie Stapleton, Kevin R. Barton, Broňa Brejová, Ming Li and Tomáš Vinař. Their work appears in journals such as IEEE/ACM Transactions on Computational Biology and Bioinformatics, The Aeronautical Journal, Journal of Communication, Journal of Gambling Studies and International Gambling Studies.

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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