Brian Keegan
Impact in
- Communication top 1%
- Social Media and Politics
- Wikis in Education and Collaboration
Papers in
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- Social Media and Politics 18
- Wikis in Education and Collaboration 17
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- Open Source Software Innovations 11
- Co-authors
- Noshir ContractorSavvas ZannettouJason BaumgartnerJeremy BlackburnMegan SquireDarren GergleDrew MargolinDmitri Williams
- Journals
- Proceedings of the ACM on Human-Computer Interaction (5 papers)PLoS ONE (3 papers)Information Communication & Society (1 paper)The Leadership Quarterly (1 paper)New Media & Society (1 paper)
- Partner nations
- United StatesMexicoIreland
In The Last Decade
Brian Keegan
65 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Communication 568
- Computer Science Applications 144
- Statistical and Nonlinear Physics 273
- Sociology and Political Science 765
- Artificial Intelligence 511
Countries citing papers authored by Brian Keegan
This map shows the geographic impact of Brian Keegan'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 Keegan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Keegan more than expected).
Fields of papers citing papers by Brian Keegan
This network shows the impact of papers produced by Brian Keegan. 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 Keegan. The network helps show where Brian Keegan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Brian Keegan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 8 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 5 | |
| 4 | 2022 | 42 | |
| 5 | 2022 | 7 | |
| 6 | 2021 | 14 | |
| 7 | 2021 | 8 | |
| 8 | 2020 | 11 | |
| 9 | Detecting Hacker Threats: Performance of Word and Sentence Embedding Models in Identifying Hacker Communications | 2019 | 5 |
| 10 | 2019 | 20 | |
| 11 | 2017 | 12 | |
| 12 | 2016 | 17 | |
| 13 | 2016 | 31 | |
| 14 | 2015 | 8 | |
| 15 | 2014 | 92 | |
| 16 | 2014 | 1 | |
| 17 | 2012 | 10 | |
| 18 | 2011 | 8 | |
| 19 | As Real as Real? Macroeconomic Behavior in a Large-Scale Virtual World | 2009 | 1 |
| 20 | 2009 | 96 |
About Brian Keegan
Brian Keegan is a scholar working on Communication, Computer Science Applications, Statistical and Nonlinear Physics, Information Systems and Ecological Modeling, having authored 69 papers that have together received 1.8k indexed citations. Recurring topics across this work include Social Media and Politics (18 papers), Wikis in Education and Collaboration (17 papers), Open Source Software Innovations (11 papers), Cybercrime and Law Enforcement Studies (9 papers), Opinion Dynamics and Social Influence (9 papers), Digital Games and Media (8 papers), Complex Network Analysis Techniques (7 papers) and Spam and Phishing Detection (6 papers). The work is most often cited by research in Communication (568 citations), Computer Science Applications (144 citations), Statistical and Nonlinear Physics (273 citations), Sociology and Political Science (765 citations) and Artificial Intelligence (511 citations). Brian Keegan has collaborated with scholars based in United States, Mexico and Ireland. Frequent co-authors include Noshir Contractor, Savvas Zannettou, Jason Baumgartner, Jeremy Blackburn, Megan Squire, Darren Gergle, Drew Margolin, Dmitri Williams, David Lazer and Jay B. Carson. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, PLoS ONE, Information Communication & Society, The Leadership Quarterly and New Media & Society.
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.