Sudeepa Roy
Impact in
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- Scientific Computing and Data Management
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- Mobile Crowdsensing and Crowdsourcing
Papers in
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- Privacy-Preserving Technologies in Data 12
- Algorithms and Data Compression 7
- Bayesian Modeling and Causal Inference 7
- Data Stream Mining Techniques 7
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- Scientific Computing and Data Management 31
- Co-authors
- Dan Suciu (8 shared papers)Sanjeev Khanna (12 shared papers)Susan B. Davidson (11 shared papers)Tova Milo (7 shared papers)Val Tannen (5 shared papers)Zhengjie Miao (9 shared papers)Jerry Li (3 shared papers)Paul Beame (3 shared papers)
- Journals
- Proceedings of the VLDB Endowment (18 papers)ACM Transactions on Database Systems (2 papers)The VLDB Journal (1 paper)Theory of Computing Systems (1 paper)Journal of Statistical Software (1 paper)
- Partner nations
- United StatesIsraelSwitzerland
In The Last Decade
Sudeepa Roy
60 papers receiving 751 citations
Peers
Comparison fields: 5 of 75
- Information Systems and Management 273
- Computer Science Applications 92
- Management Science and Operations Research 187
- Artificial Intelligence 429
- Signal Processing 141
Countries citing papers authored by Sudeepa Roy
This map shows the geographic impact of Sudeepa Roy'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 Sudeepa Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sudeepa Roy more than expected).
Fields of papers citing papers by Sudeepa Roy
This network shows the impact of papers produced by Sudeepa Roy. 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 Sudeepa Roy. The network helps show where Sudeepa Roy may publish in the future.
Co-authors
The 25 scholars most cited alongside Sudeepa Roy, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 89 | |
| 2 | 2014 | 83 | |
| 3 | 2017 | 63 | |
| 4 | 2011 | 45 | |
| 5 | 2014 | 42 | |
| 6 | 2015 | 38 | |
| 7 | 2011 | 33 | |
| 8 | 2020 | 25 | |
| 9 | 2019 | 24 | |
| 10 | 2014 | 22 | |
| 11 | 2019 | 20 | |
| 12 | Enabling privacy in provenance-aware workflow systems | 2011 | 19 |
| 13 | 2011 | 16 | |
| 14 | 2010 | 16 | |
| 15 | FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference | 2021 | 15 |
| 16 | 2021 | 15 | |
| 17 | 2009 | 14 | |
| 18 | 2020 | 12 | |
| 19 | 2014 | 11 | |
| 20 | 2022 | 11 |
About Sudeepa Roy
Sudeepa Roy is a scholar working on Artificial Intelligence, Information Systems and Management, Computer Networks and Communications, Signal Processing and Information Systems, having authored 62 papers that have together received 777 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (31 papers), Advanced Database Systems and Queries (20 papers), Data Management and Algorithms (17 papers), Data Quality and Management (12 papers), Privacy-Preserving Technologies in Data (12 papers), Algorithms and Data Compression (7 papers), Bayesian Modeling and Causal Inference (7 papers) and Data Stream Mining Techniques (7 papers). The work is most often cited by research in Information Systems and Management (273 citations), Computer Science Applications (92 citations), Management Science and Operations Research (187 citations), Artificial Intelligence (429 citations) and Signal Processing (141 citations). Sudeepa Roy has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Dan Suciu, Sanjeev Khanna, Susan B. Davidson, Tova Milo, Val Tannen, Zhengjie Miao, Jerry Li, Paul Beame, Alexandra Meliou and Boris Glavic. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM Transactions on Database Systems, The VLDB Journal, Theory of Computing Systems and Journal of Statistical Software.
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.