Bryan A. Pendleton
Impact in
- Communication top 1%
- Wikis in Education and Collaboration
- Knowledge Management and Sharing
- Social Media and Politics
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- Open Source Software Innovations
Papers in
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- Wikis in Education and Collaboration 5
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- Spam and Phishing Detection 3
- Web Data Mining and Analysis 1
- Co-authors
- Aniket Kittur (5 shared papers)Bongwon Suh (5 shared papers)Ed H. (4 shared papers)Robert E. Kraut (2 shared papers)Jason Hong (3 shared papers)Guang Xiang (2 shared papers)John Bodnar (1 shared paper)Jeffrey Heer (1 shared paper)
- Journals
- Lecture notes in computer science (1 paper)National Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesHong Kong
In The Last Decade
Bryan A. Pendleton
11 papers receiving 726 citations
Peers
Comparison fields: 5 of 59
- Communication 559
- Computer Science Applications 316
- Information Systems 262
- Signal Processing 48
- Artificial Intelligence 137
Countries citing papers authored by Bryan A. Pendleton
This map shows the geographic impact of Bryan A. Pendleton'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 Bryan A. Pendleton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan A. Pendleton more than expected).
Fields of papers citing papers by Bryan A. Pendleton
This network shows the impact of papers produced by Bryan A. Pendleton. 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 Bryan A. Pendleton. The network helps show where Bryan A. Pendleton may publish in the future.
Co-authors
The 19 scholars most cited alongside Bryan A. Pendleton, 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 | 2007 | 446 | |
| 2 | 2008 | 107 | |
| 3 | 2007 | 67 | |
| 4 | 2009 | 46 | |
| 5 | 2006 | 46 | |
| 6 | 2011 | 22 | |
| 7 | 2010 | 21 | |
| 8 | Augmented Social Cognition. | 2008 | 17 |
| 9 | 2012 | 12 | |
| 10 | 2009 | 4 | |
| 11 | 2009 | 2 |
About Bryan A. Pendleton
Bryan A. Pendleton is a scholar working on Communication, Information Systems, Computer Science Applications, Sociology and Political Science and Signal Processing, having authored 11 papers that have together received 790 indexed citations. Recurring topics across this work include Wikis in Education and Collaboration (5 papers), Open Source Software Innovations (4 papers), Spam and Phishing Detection (3 papers), Innovative Teaching and Learning Methods (2 papers), Advanced Malware Detection Techniques (2 papers), Web Data Mining and Analysis (1 paper), Big Data and Business Intelligence (1 paper) and Drilling and Well Engineering (1 paper). The work is most often cited by research in Communication (559 citations), Computer Science Applications (316 citations), Information Systems (262 citations), Signal Processing (48 citations) and Artificial Intelligence (137 citations). Bryan A. Pendleton has collaborated with scholars based in United States and Hong Kong. Frequent co-authors include Aniket Kittur, Bongwon Suh, Ed H., Robert E. Kraut, Jason Hong, Guang Xiang, John Bodnar, Jeffrey Heer, Stuart Card and Carolyn Penstein Rosé. Their work appears in journals such as Lecture notes in computer science and National Conference on Artificial Intelligence.
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.