Aditya Pal
Impact in
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- Mobile Crowdsensing and Crowdsourcing
- Information Systems top 1%
- Expert finding and Q&A systems
- Recommender Systems and Techniques
Papers in
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- Topic Modeling 10
- Sentiment Analysis and Opinion Mining 4
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- Expert finding and Q&A systems 12
- Recommender Systems and Techniques 3
- Co-authors
- Scott Counts (2 shared papers)Joseph A. Konstan (6 shared papers)Jaideep Srivastava (1 shared paper)Jaya Kawale (1 shared paper)Shuo Chang (2 shared papers)Yichen Wang (1 shared paper)F. Maxwell Harper (1 shared paper)Robert E. Kraut (3 shared papers)
- Journals
- ACM Transactions on Information Systems (2 papers)JAMA Surgery (1 paper)Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) (1 paper)Procedia Computer Science (1 paper)University of Minnesota Digital Conservancy (University of Minnesota) (1 paper)
- Partner nations
- United StatesIndiaBrazil
In The Last Decade
Aditya Pal
30 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 82
- Computer Science Applications 296
- Information Systems 566
- Communication 148
- Statistical and Nonlinear Physics 242
- Artificial Intelligence 526
Countries citing papers authored by Aditya Pal
This map shows the geographic impact of Aditya Pal'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 Aditya Pal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aditya Pal more than expected).
Fields of papers citing papers by Aditya Pal
This network shows the impact of papers produced by Aditya Pal. 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 Aditya Pal. The network helps show where Aditya Pal may publish in the future.
Co-authors
The 25 scholars most cited alongside Aditya Pal, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 234 | |
| 2 | 2009 | 110 | |
| 3 | 2012 | 88 | |
| 4 | 2019 | 78 | |
| 5 | 2010 | 64 | |
| 6 | 2013 | 64 | |
| 7 | Detecting emotions in social media: a constrained optimization approach | 2015 | 61 |
| 8 | 2011 | 55 | |
| 9 | 2021 | 44 | |
| 10 | 2015 | 32 | |
| 11 | 2020 | 27 | |
| 12 | 2014 | 26 | |
| 13 | 2016 | 26 | |
| 14 | 2014 | 23 | |
| 15 | 2012 | 22 | |
| 16 | 2012 | 21 | |
| 17 | 2023 | 15 | |
| 18 | 2021 | 14 | |
| 19 | 2012 | 13 | |
| 20 | 2013 | 12 |
About Aditya Pal
Aditya Pal is a scholar working on Artificial Intelligence, Information Systems, Computer Science Applications, Communication and Sociology and Political Science, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Expert finding and Q&A systems (12 papers), Topic Modeling (10 papers), Mobile Crowdsensing and Crowdsourcing (8 papers), Knowledge Management and Sharing (5 papers), Sentiment Analysis and Opinion Mining (4 papers), Wikis in Education and Collaboration (3 papers), Digital Marketing and Social Media (3 papers) and Recommender Systems and Techniques (3 papers). The work is most often cited by research in Computer Science Applications (296 citations), Information Systems (566 citations), Communication (148 citations), Statistical and Nonlinear Physics (242 citations) and Artificial Intelligence (526 citations). Aditya Pal has collaborated with scholars based in United States, India and Brazil. Frequent co-authors include Scott Counts, Joseph A. Konstan, Jaideep Srivastava, Jaya Kawale, Shuo Chang, Yichen Wang, F. Maxwell Harper, Robert E. Kraut, Rosta Farzan and Jure Leskovec. Their work appears in journals such as ACM Transactions on Information Systems, JAMA Surgery, Research Showcase @ Carnegie Mellon University (Carnegie Mellon University), Procedia Computer Science and University of Minnesota Digital Conservancy (University of Minnesota).
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.