Sumit Sarkar
Impact in
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- Data Quality and Management
- Marketing top 2%
- Consumer Market Behavior and Pricing
Papers in
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- Privacy-Preserving Technologies in Data 13
- Bayesian Modeling and Causal Inference 12
- AI-based Problem Solving and Planning 7
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- Data Quality and Management 12
- Co-authors
- B. P. S. Murthi (2 shared papers)Debabrata Dey (8 shared papers)Syam Menon (10 shared papers)Xiao‐Bai Li (8 shared papers)Ishwar Murthy (6 shared papers)Varghese S. Jacob (5 shared papers)Ram S. Sriram (3 shared papers)Zhengrui Jiang (6 shared papers)
- Journals
- Information Systems Research (13 papers)Management Science (10 papers)Journal of the Association for Information Systems (7 papers)MIS Quarterly (6 papers)IEEE Transactions on Knowledge and Data Engineering (5 papers)
- Partner nations
- United StatesIndiaSingapore
In The Last Decade
Sumit Sarkar
79 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 122
- Management Science and Operations Research 484
- Marketing 315
- Management Information Systems 267
- Information Systems and Management 171
- Computer Science Applications 120
Countries citing papers authored by Sumit Sarkar
This map shows the geographic impact of Sumit Sarkar'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 Sumit Sarkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumit Sarkar more than expected).
Fields of papers citing papers by Sumit Sarkar
This network shows the impact of papers produced by Sumit Sarkar. 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 Sumit Sarkar. The network helps show where Sumit Sarkar may publish in the future.
Co-authors
The 25 scholars most cited alongside Sumit Sarkar, 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 280 | |
| 2 | 1996 | 115 | |
| 3 | 2001 | 112 | |
| 4 | 2005 | 87 | |
| 5 | 2004 | 80 | |
| 6 | 2018 | 64 | |
| 7 | 2010 | 63 | |
| 8 | 1996 | 54 | |
| 9 | 2009 | 52 | |
| 10 | 2006 | 47 | |
| 11 | 2002 | 46 | |
| 12 | 2006 | 46 | |
| 13 | 1998 | 44 | |
| 14 | 1998 | 42 | |
| 15 | 2011 | 41 | |
| 16 | 1997 | 39 | |
| 17 | Assessing Data Quality for Information Products | 1999 | 37 |
| 18 | 2016 | 35 | |
| 19 | 2007 | 33 | |
| 20 | 1989 | 33 |
About Sumit Sarkar
Sumit Sarkar is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Networks and Communications, Information Systems and Marketing, having authored 83 papers that have together received 1.9k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (13 papers), Data Quality and Management (12 papers), Bayesian Modeling and Causal Inference (12 papers), Advanced Database Systems and Queries (11 papers), Digital Platforms and Economics (11 papers), Data Management and Algorithms (10 papers), Consumer Market Behavior and Pricing (10 papers) and AI-based Problem Solving and Planning (7 papers). The work is most often cited by research in Management Science and Operations Research (484 citations), Marketing (315 citations), Management Information Systems (267 citations), Information Systems and Management (171 citations) and Computer Science Applications (120 citations). Sumit Sarkar has collaborated with scholars based in United States, India and Singapore. Frequent co-authors include B. P. S. Murthi, Debabrata Dey, Syam Menon, Xiao‐Bai Li, Ishwar Murthy, Varghese S. Jacob, Ram S. Sriram, Zhengrui Jiang, Prabuddha De and Nirup M. Menon. Their work appears in journals such as Information Systems Research, Management Science, Journal of the Association for Information Systems, MIS Quarterly and IEEE Transactions on Knowledge and Data Engineering.
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.