Bhaskar Mitra
Impact in
- Artificial Intelligence top 1%
- Topic Modeling
- Natural Language Processing Techniques
- Text and Document Classification Technologies
- Information Systems top 1%
- Information Retrieval and Search Behavior
- Web Data Mining and Analysis
- Recommender Systems and Techniques
Papers in
-
- Topic Modeling 31
- Natural Language Processing Techniques 14
- Domain Adaptation and Few-Shot Learning 4
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- Information Retrieval and Search Behavior 13
- Recommender Systems and Techniques 7
- Web Data Mining and Analysis 4
- Co-authors
- Nick Craswell (31 shared papers)Fernando Díaz (9 shared papers)Milad Shokouhi (2 shared papers)Filip Radlinski (2 shared papers)Eric Nalisnick (1 shared paper)Rich Caruana (1 shared paper)Hamed Zamani (4 shared papers)Paul Thomas (5 shared papers)
- Journals
- ACM SIGIR Forum (3 papers)Information Retrieval (1 paper)ACM Transactions on Information Systems (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)Tropical Ecology (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Bhaskar Mitra
48 papers receiving 1.2k citations
Bhaskar Mitra's Hit Papers
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 995
- Information Systems 635
- Management Science and Operations Research 147
- Computer Vision and Pattern Recognition 241
- Computer Science Applications 41
Countries citing papers authored by Bhaskar Mitra
This map shows the geographic impact of Bhaskar Mitra'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 Bhaskar Mitra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bhaskar Mitra more than expected).
Fields of papers citing papers by Bhaskar Mitra
This network shows the impact of papers produced by Bhaskar Mitra. 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 Bhaskar Mitra. The network helps show where Bhaskar Mitra may publish in the future.
Co-authors
The 25 scholars most cited alongside Bhaskar Mitra, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 232 | |
| 2 | 2016 | 121 | |
| 3 | 2018 | 110 | |
| 4 | 2016 | 88 | |
| 5 | 2019 | 70 | |
| 6 | Large Language Models can Accurately Predict Searcher Preferences Hit paper breakdown → | 2024 | 51 |
| 7 | 2015 | 50 | |
| 8 | 2014 | 46 | |
| 9 | 2015 | 45 | |
| 10 | 2014 | 44 | |
| 11 | 2018 | 43 | |
| 12 | 2017 | 42 | |
| 13 | 2018 | 33 | |
| 14 | 2021 | 31 | |
| 15 | 2022 | 29 | |
| 16 | 2021 | 29 | |
| 17 | 2022 | 27 | |
| 18 | 2021 | 21 | |
| 19 | 2021 | 17 | |
| 20 | 2024 | 14 |
About Bhaskar Mitra
Bhaskar Mitra is a scholar working on Artificial Intelligence, Information Systems, Management Science and Operations Research, Computer Vision and Pattern Recognition and Sociology and Political Science, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Topic Modeling (31 papers), Natural Language Processing Techniques (14 papers), Information Retrieval and Search Behavior (13 papers), Data Quality and Management (8 papers), Recommender Systems and Techniques (7 papers), Multimodal Machine Learning Applications (4 papers), Web Data Mining and Analysis (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). The work is most often cited by research in Artificial Intelligence (995 citations), Information Systems (635 citations), Management Science and Operations Research (147 citations), Computer Vision and Pattern Recognition (241 citations) and Computer Science Applications (41 citations). Bhaskar Mitra has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Nick Craswell, Fernando Díaz, Milad Shokouhi, Filip Radlinski, Eric Nalisnick, Rich Caruana, Hamed Zamani, Paul Thomas, Daniel Campos and Seth Spielman. Their work appears in journals such as ACM SIGIR Forum, Information Retrieval, ACM Transactions on Information Systems, IEEE Transactions on Knowledge and Data Engineering and Tropical Ecology.
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.