Dan Cosley

9.9k total citations · 1 hit paper
108 papers, 6.5k citations indexed

About

Dan Cosley is a scholar working on Sociology and Political Science, Human-Computer Interaction and Communication. According to data from OpenAlex, Dan Cosley has authored 108 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Sociology and Political Science, 37 papers in Human-Computer Interaction and 32 papers in Communication. Recurrent topics in Dan Cosley's work include Innovative Human-Technology Interaction (31 papers), Knowledge Management and Sharing (17 papers) and Social Media and Politics (12 papers). Dan Cosley is often cited by papers focused on Innovative Human-Technology Interaction (31 papers), Knowledge Management and Sharing (17 papers) and Social Media and Politics (12 papers). Dan Cosley collaborates with scholars based in United States, United Kingdom and Taiwan. Dan Cosley's co-authors include John Riedl, Andrea Forte, Luigina Ciolfi, David W. McDonald, Shyong K. Lam, Dan Frankowski, István Albert, Joseph A. Konstan, Al Mamunur Rashid and Daniel P. Huttenlocher and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Medical Informatics Association and Journal of Computer-Mediated Communication.

In The Last Decade

Dan Cosley

107 papers receiving 6.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing

2015 1.0k citations Dan Cosley et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Dan Cosley United States	38	2.0k	1.8k	1.5k	1.4k	963	108	6.5k
Karrie Karahalios United States	38	2.1k 1.0×	843 0.5×	937 0.6×	1.5k 1.1×	521 0.5×	168	5.9k
Geri Gay United States	46	2.0k 1.0×	2.1k 1.1×	1.0k 0.7×	1.1k 0.8×	701 0.7×	145	7.8k
Michael Müller United States	40	1.9k 0.9×	1.4k 0.8×	1.0k 0.7×	1.2k 0.8×	830 0.9×	227	7.3k
Bongwon Suh South Korea	25	1.2k 0.6×	1.1k 0.6×	1.3k 0.9×	1.2k 0.8×	1.3k 1.3×	76	5.0k
Peter Pirolli United States	46	1.8k 0.9×	3.2k 1.7×	1.1k 0.8×	2.5k 1.7×	951 1.0×	137	9.6k
Mark S. Ackerman United States	50	2.1k 1.0×	3.1k 1.7×	1.5k 1.0×	2.0k 1.4×	2.3k 2.4×	183	8.6k
Mor Naaman United States	42	2.4k 1.2×	1.7k 0.9×	1.5k 1.0×	2.2k 1.6×	446 0.5×	132	8.0k
Marc A. Smith United States	29	1.9k 0.9×	740 0.4×	2.2k 1.5×	666 0.5×	529 0.5×	85	5.1k
Loren Terveen United States	47	2.1k 1.0×	5.2k 2.9×	1.8k 1.2×	2.8k 2.0×	1.5k 1.6×	174	10.5k
Laura Dabbish United States	35	1.7k 0.9×	1.9k 1.0×	915 0.6×	1.4k 1.0×	2.2k 2.3×	114	6.7k

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 of co-authors of Dan Cosley

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Freed, Diana, Sunny Consolvo, Dan Cosley, et al.. (2025). Help-seeking and Coping Strategies for Technology-facilitated Abuse Experienced by Youth. Proceedings of the ACM on Human-Computer Interaction. 9(2). 1–25. 1 indexed citations

2.

Freed, Diana, Natalya N. Bazarova, Sunny Consolvo, Dan Cosley, & Patrick Gage Kelley. (2025). PROTECT: A Framework to Foster Digital Resilience for Youth Navigating Technology-Facilitated Abuse. Social Sciences. 14(6). 378–378.

3.

Freed, Diana, Natalya N. Bazarova, Sunny Consolvo, et al.. (2023). Understanding Digital-Safety Experiences of Youth in the U.S.. 1–15. 21 indexed citations

4.

Cosley, Dan, Elizabeth F. Churchill, Jodi Forlizzi, & Sean A. Munson. (2017). Introduction to This Special Issue on the Lived Experience of Personal Informatics. Human-Computer Interaction. 32(5-6). 197–207. 14 indexed citations

5.

Murnane, Elizabeth L., Saeed Abdullah, Mark Matthews, et al.. (2016). Mobile manifestations of alertness. PubMed. 2016. 465–477. 43 indexed citations

6.

Yuan, Chien Wen, Leslie D. Setlock, Dan Cosley, & Susan R. Fussell. (2013). Understanding informal communication in multilingual contexts. 909–922. 23 indexed citations

7.

Farina, Cynthia R., et al.. (2011). Rulemaking in 140 Characters or Less: Social Networking and Public Participation in Rulemaking. Pace law review. 31(1). 382–382. 5 indexed citations

8.

Cosley, Dan, et al.. (2011). Bridging practices, theories, and technologies to support reminiscence. 57–60. 4 indexed citations

9.

Cosley, Dan, et al.. (2011). pieTime: Visualizing Communication Patterns. 720–723. 5 indexed citations

10.

Farina, Cynthia R., et al.. (2010). Rulemaking 2.0. SSRN Electronic Journal. 2 indexed citations

11.

Cosley, Dan, et al.. (2010). Triggering memories with online maps. Proceedings of the American Society for Information Science and Technology. 47(1). 1–4. 7 indexed citations

12.

Leshed, Gilly, Diego Pérez-Liébana, Jeffrey T. Hancock, et al.. (2009). Visualizing real-time language-based feedback on teamwork behavior in computer-mediated groups. 537–546. 66 indexed citations

13.

Cosley, Dan, et al.. (2008). GePuTTIS: General Purpose Transitive Trust Inference System for Social Networks.. National Conference on Artificial Intelligence. 66–71. 3 indexed citations

14.

Cosley, Dan, Dan Frankowski, Loren Terveen, & John Riedl. (2007). SuggestBot. 32–41. 170 indexed citations

15.

Shami, N. Sadat, et al.. (2007). That's what friends are for. 379–379. 15 indexed citations

16.

Sen, Shilad, Shyong K. Lam, Al Mamunur Rashid, et al.. (2006). tagging, communities, vocabulary, evolution. 181–190. 273 indexed citations

17.

Cosley, Dan. (2005). Mining Social Theory to Build Member-Maintained Communities.. National Conference on Artificial Intelligence. 28–33. 2 indexed citations

18.

Cosley, Dan, Dan Frankowski, Sara Kiesler, Loren Terveen, & John Riedl. (2005). How oversight improves member-maintained communities. 11–20. 76 indexed citations

19.

Cosley, Dan, Shyong K. Lam, István Albert, Joseph A. Konstan, & John Riedl. (2003). Is seeing believing?. 34 indexed citations

20.

McNee, Sean M., István Albert, Dan Cosley, et al.. (2002). On the recommending of citations for research papers. 116–125. 286 indexed citations

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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