Dan Cosley

9.9k citations
108 papers · 6.5k indexed · 1 hit paper · h-index 38

Dan Cosley

107 papers receiving 6.2k citations

Hit Papers

Proceedings of the 18th ACM Conference on Computer Suppor...1.0k20152026201820222505007501000

Peers

Dan Cosley
Comparison fields: 5 of 134
  • Communication 1.5k
  • Computer Science Applications 963
  • Human-Computer Interaction 941
  • Information Systems 1.8k
  • Statistical and Nonlinear Physics 828
Replace Bongwon Suh with:
Bongwon Suh South Korea
Peter Pirolli United States
Karrie Karahalios United States
Mor Naaman United States
Loren Terveen United States
Geri Gay United States
Mark S. Ackerman United States
Jaime Teevan United States
Michael Müller United States
Laura Dabbish United States
Dan Cosley relative to Bongwon Suh South Korea Bongwon Suh's profile →
Citations per field
00.5×1.5×2.3×
Bongwon Suh · 1×
Citations per year

Countries citing papers authored by Dan Cosley

Since Specialization
Citations

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

Fields of papers citing papers by Dan Cosley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 202321
4 201833
5 20173
6 201714
7 201525
8 20142
9 201259
10 20115
11
Rulemaking 2.0
201110
12
Rulemaking 2.0
20102
13 20107
14
GePuTTIS: General Purpose Transitive Trust Inference System for Social Networks.
20083
15 2007170
16
Mining Social Theory to Build Member-Maintained Communities.
20052
17 2004101
18 200334
19 2003296
20 200262

About Dan Cosley

Dan Cosley is a scholar working on Human-Computer Interaction, Communication, Computer Science Applications, Statistical and Nonlinear Physics and Applied Psychology, having authored 108 papers that have together received 6.5k indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (31 papers), Knowledge Management and Sharing (17 papers), Social Media and Politics (12 papers), Wikis in Education and Collaboration (12 papers), Complex Network Analysis Techniques (12 papers), Team Dynamics and Performance (11 papers), Opinion Dynamics and Social Influence (11 papers) and Recommender Systems and Techniques (10 papers). The work is most often cited by research in Communication (1.5k citations), Computer Science Applications (963 citations), Human-Computer Interaction (941 citations), Information Systems (1.8k citations) and Statistical and Nonlinear Physics (828 citations). Dan Cosley has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include John Riedl, Luigina Ciolfi, Andrea Forte, David W. McDonald, Shyong K. Lam, Dan Frankowski, István Albert, Joseph A. Konstan, Al Mamunur Rashid and Siddharth Suri. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Human-Computer Interaction, Journal of Computer-Mediated Communication, MedieKultur Journal of media and communication research and The Journal of Positive 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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