Shilad Sen
Impact in
- Communication top 2%
- Wikis in Education and Collaboration
- Information Systems top 0.5%
- Recommender Systems and Techniques
- Expert finding and Q&A systems
Papers in
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- Recommender Systems and Techniques 14
- Web Data Mining and Analysis 5
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- Semantic Web and Ontologies 5
- Co-authors
- John Riedl (14 shared papers)Jesse Vig (6 shared papers)Shyong K. Lam (3 shared papers)F. Maxwell Harper (4 shared papers)Dan Frankowski (4 shared papers)Loren Terveen (7 shared papers)Dan Cosley (2 shared papers)Chad M. Topaz (3 shared papers)
- Journals
- ACM Transactions on Interactive Intelligent Systems (3 papers)PLoS ONE (2 papers)Computer (1 paper)Annals of the American Association of Geographers (1 paper)Proceedings of the ACM on Human-Computer Interaction (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Shilad Sen
38 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 92
- Communication 267
- Information Systems 850
- Computer Science Applications 200
- Artificial Intelligence 621
- Computer Vision and Pattern Recognition 294
Countries citing papers authored by Shilad Sen
This map shows the geographic impact of Shilad Sen'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 Shilad Sen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shilad Sen more than expected).
Fields of papers citing papers by Shilad Sen
This network shows the impact of papers produced by Shilad Sen. 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 Shilad Sen. The network helps show where Shilad Sen may publish in the future.
Co-authors
The 25 scholars most cited alongside Shilad Sen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 273 | |
| 2 | 2009 | 209 | |
| 3 | 2009 | 185 | |
| 4 | 2011 | 141 | |
| 5 | 2012 | 83 | |
| 6 | 2016 | 73 | |
| 7 | 2011 | 64 | |
| 8 | 2007 | 58 | |
| 9 | 2006 | 52 | |
| 10 | 2015 | 32 | |
| 11 | 2011 | 31 | |
| 12 | 2017 | 30 | |
| 13 | 2015 | 28 | |
| 14 | 2008 | 27 | |
| 15 | 2009 | 23 | |
| 16 | 2012 | 23 | |
| 17 | 2013 | 22 | |
| 18 | 2006 | 22 | |
| 19 | 2017 | 22 | |
| 20 | 2014 | 15 |
About Shilad Sen
Shilad Sen is a scholar working on Information Systems, Artificial Intelligence, Communication, Computer Vision and Pattern Recognition and Sociology and Political Science, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (14 papers), Wikis in Education and Collaboration (8 papers), Geographic Information Systems Studies (6 papers), Video Analysis and Summarization (6 papers), Web Data Mining and Analysis (5 papers), Semantic Web and Ontologies (5 papers), Biomedical Text Mining and Ontologies (4 papers) and Mobile Crowdsensing and Crowdsourcing (4 papers). The work is most often cited by research in Communication (267 citations), Information Systems (850 citations), Computer Science Applications (200 citations), Artificial Intelligence (621 citations) and Computer Vision and Pattern Recognition (294 citations). Shilad Sen has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include John Riedl, Jesse Vig, Shyong K. Lam, F. Maxwell Harper, Dan Frankowski, Loren Terveen, Dan Cosley, Chad M. Topaz, Al Mamunur Rashid and David R. Musicant. Their work appears in journals such as ACM Transactions on Interactive Intelligent Systems, PLoS ONE, Computer, Annals of the American Association of Geographers and Proceedings of the ACM on Human-Computer Interaction.
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.