Sudeepa Roy

1.4k total citations
61 papers, 751 citations indexed

About

Sudeepa Roy is a scholar working on Artificial Intelligence, Information Systems and Management and Computer Networks and Communications. According to data from OpenAlex, Sudeepa Roy has authored 61 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 31 papers in Information Systems and Management and 28 papers in Computer Networks and Communications. Recurrent topics in Sudeepa Roy's work include Scientific Computing and Data Management (31 papers), Advanced Database Systems and Queries (19 papers) and Data Management and Algorithms (16 papers). Sudeepa Roy is often cited by papers focused on Scientific Computing and Data Management (31 papers), Advanced Database Systems and Queries (19 papers) and Data Management and Algorithms (16 papers). Sudeepa Roy collaborates with scholars based in United States, Israel and Switzerland. Sudeepa Roy's 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 and has published in prestigious journals such as Journal of Statistical Software, Proceedings of the VLDB Endowment and ACM Transactions on Database Systems.

In The Last Decade

Sudeepa Roy

60 papers receiving 723 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sudeepa Roy United States 15 417 270 266 187 177 61 751
Alexandra Meliou United States 18 480 1.2× 238 0.9× 419 1.6× 227 1.2× 258 1.5× 56 1.0k
Wolfgang Gatterbauer United States 16 336 0.8× 209 0.8× 404 1.5× 220 1.2× 303 1.7× 50 780
Yeye He United States 19 580 1.4× 69 0.3× 216 0.8× 432 2.3× 323 1.8× 47 897
Laura Chiticariu United States 15 647 1.6× 531 2.0× 565 2.1× 372 2.0× 535 3.0× 36 1.3k
Yannis Velegrakis Italy 18 619 1.5× 98 0.4× 446 1.7× 309 1.7× 346 2.0× 75 952
Stijn Vansummeren Belgium 18 575 1.4× 281 1.0× 680 2.6× 207 1.1× 363 2.1× 72 1.1k
Tomer Kaftan United States 4 248 0.6× 135 0.5× 603 2.3× 76 0.4× 492 2.8× 4 886
Johann-Christoph Freytag Germany 14 274 0.7× 76 0.3× 387 1.5× 129 0.7× 313 1.8× 40 700
Brian McBride United States 5 430 1.0× 64 0.2× 240 0.9× 48 0.3× 319 1.8× 11 628
Andy Seaborne United States 6 627 1.5× 89 0.3× 394 1.5× 103 0.6× 349 2.0× 13 843

Countries citing papers authored by Sudeepa Roy

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Machanavajjhala, Ashwin, et al.. (2025). Differentially private explanations for aggregate query answers. The VLDB Journal. 34(2). 1 indexed citations
2.
Gómez, Óscar, et al.. (2023). Causal What-If and How-To Analysis Using HypeR. 3663–3666. 3 indexed citations
3.
Roy, Sudeepa, et al.. (2023). Scientific Knowledge Graph Creation and Analysis. 1–5.
4.
Liu, Yameng, et al.. (2021). FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference. arXiv (Cornell University). 22(31). 1–41. 15 indexed citations
5.
Glavic, Boris, Alexandra Meliou, & Sudeepa Roy. (2021). Trends in Explanations: Understanding and Debugging Data-driven Systems. 11(3). 226–318. 8 indexed citations
6.
Panigrahi, Debmalya, et al.. (2020). Aggregated deletion propagation for counting conjunctive query answers. Proceedings of the VLDB Endowment. 14(2). 228–240. 3 indexed citations
7.
Lee, Andrew, et al.. (2019). LensXPlain. Proceedings of the VLDB Endowment. 12(12). 1898–1901. 4 indexed citations
8.
Babu, Shivnath, et al.. (2018). iQCAR. PubMed. 2018. 1721–1724. 2 indexed citations
9.
Beame, Paul, Jerry Li, Sudeepa Roy, & Dan Suciu. (2017). Exact Model Counting of Query Expressions. ACM Transactions on Database Systems. 42(1). 1–46. 62 indexed citations
10.
Roy, Sudeepa, et al.. (2017). Optimizing Iceberg Queries with Complex Joins. 1243–1258. 6 indexed citations
11.
Koutris, Paraschos, Tova Milo, Sudeepa Roy, & Dan Suciu. (2016). Answering Conjunctive Queries with Inequalities. Theory of Computing Systems. 61(1). 2–30. 8 indexed citations
12.
Roy, Sudeepa, Laura Chiticariu, Vitaly Feldman, Frederick Reiss, & Huaiyu Zhu. (2013). Provenance-based dictionary refinement in information extraction. 457–468. 5 indexed citations
13.
Beame, Paul, Jerry Li, Sudeepa Roy, & Dan Suciu. (2013). Lower bounds for exact model counting and applications in probabilistic databases. Uncertainty in Artificial Intelligence. 52–61. 7 indexed citations
14.
Davidson, Susan B., Sanjeev Khanna, & Sudeepa Roy. (2012). Provenance and uncertainty. 1 indexed citations
15.
Davidson, Susan B., Sanjeev Khanna, Sudeepa Roy, et al.. (2011). Enabling privacy in provenance-aware workflow systems. ScholarlyCommons (University of Pennsylvania). 215–218. 19 indexed citations
16.
Khanna, Sanjeev, Sudeepa Roy, & Val Tannen. (2011). Queries with difference on probabilistic databases. Proceedings of the VLDB Endowment. 4(11). 1051–1062. 5 indexed citations
17.
Davidson, Susan B., Sanjeev Khanna, Debmalya Panigrahi, & Sudeepa Roy. (2010). Preserving Module Privacy in Workflow Provenance. ScholarlyCommons (University of Pennsylvania). 9 indexed citations
18.
Davidson, Susan B., et al.. (2010). An optimal labeling scheme for workflow provenance using skeleton labels. 711–722. 16 indexed citations
19.
Davidson, Susan B., Sanjeev Khanna, Sudeepa Roy, & Sarah Cohen‐Boulakia. (2010). Privacy issues in scientific workflow provenance. 1–6. 8 indexed citations
20.
Davidson, Susan B., et al.. (2009). Optimizing user views for workflows. 310–323. 14 indexed citations

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.

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