Sudeepa Roy
- Artificial Intelligence top 5%
- Information Systems and Management top 1%
- Computer Networks and Communications top 5%
- Management Science and Operations Research top 5%
- Information Systems top 5%
- Co-authors
- Dan SuciuSanjeev KhannaSusan B. DavidsonTova MiloVal TannenPaul BeameJerry LiAlexandra Meliou
- Topics
- Scientific Computing and Data Management (31 papers)Advanced Database Systems and Queries (19 papers)Data Management and Algorithms (16 papers)
- Cited by
- Information Systems and ManagementComputer Science ApplicationsManagement Science and Operations Research
- Journals
- Journal of Statistical SoftwareProceedings of the VLDB EndowmentACM Transactions on Database Systems
- Partner nations
- United StatesIsraelSwitzerland
In The Last Decade
Sudeepa Roy
60 papers receiving 723 citations
Peers
Comparison fields: 5 of 78
- Artificial Intelligence 417
- Information Systems and Management 270
- Computer Networks and Communications 266
- Management Science and Operations Research 187
- Information Systems 177
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-authorship network of co-authors of Sudeepa Roy
This figure shows the co-authorship network connecting the top 25 collaborators of Sudeepa Roy. A scholar is included among the top collaborators of Sudeepa Roy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sudeepa Roy. Sudeepa Roy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference | 15 |
| 5 | 8 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 62 | |
| 10 | 6 | |
| 11 | 8 | |
| 12 | 5 | |
| 13 | Lower bounds for exact model counting and applications in probabilistic databases | 7 |
| 14 | Provenance and uncertainty | 1 |
| 15 | Enabling privacy in provenance-aware workflow systems | 19 |
| 16 | 5 | |
| 17 | Preserving Module Privacy in Workflow Provenance | 9 |
| 18 | 16 | |
| 19 | 8 | |
| 20 | 14 |
About Sudeepa Roy
Sudeepa Roy is a scholar working on Information Systems and Management, Signal Processing and Computer Networks and Communications, having authored 61 papers that have together received 751 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (31 papers), Advanced Database Systems and Queries (19 papers) and Data Management and Algorithms (16 papers). The work is most often cited by research in Information Systems and Management (270 citations), Computer Science Applications (91 citations) and Management Science and Operations Research (187 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, Paul Beame, Jerry Li, Alexandra Meliou, Boris Glavic and Laurel Orr. Their work appears in journals such as Journal of Statistical Software, Proceedings of the VLDB Endowment and ACM Transactions on Database Systems.
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.