Nilesh Dalvi

5.4k total citations · 2 hit papers
41 papers, 3.1k citations indexed

About

Nilesh Dalvi is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Nilesh Dalvi has authored 41 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 23 papers in Signal Processing and 19 papers in Computer Networks and Communications. Recurrent topics in Nilesh Dalvi's work include Data Management and Algorithms (20 papers), Advanced Database Systems and Queries (17 papers) and Data Quality and Management (11 papers). Nilesh Dalvi is often cited by papers focused on Data Management and Algorithms (20 papers), Advanced Database Systems and Queries (17 papers) and Data Quality and Management (11 papers). Nilesh Dalvi collaborates with scholars based in United States, Israel and United Kingdom. Nilesh Dalvi's co-authors include Dan Suciu, Christopher Ré, Sumit Sanghai, Mausam Mausam, Pedro Domingos, Deepak Kumar Verma, Ravi Kumar, Vibhor Rastogi, Kedar Bellare and Raghav Kaushik and has published in prestigious journals such as Communications of the ACM, Journal of the ACM and Proceedings of the VLDB Endowment.

In The Last Decade

Nilesh Dalvi

41 papers receiving 2.9k citations

Hit Papers

Efficient query evaluation on probabilistic databases 2004 2026 2011 2018 2006 2004 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Efficient query evaluation on probabilistic databases
    2006 623 citations Nilesh Dalvi, Dan Suciu The VLDB Journal profile →
  2. Adversarial classification
    2004 519 citations Nilesh Dalvi, Sumit Sanghai et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nilesh Dalvi United States 26 1.8k 1.7k 1.7k 773 678 41 3.1k
Anish Das Sarma United States 26 1.1k 0.6× 756 0.4× 1.0k 0.6× 839 1.1× 670 1.0× 47 2.2k
Jianhua Feng China 38 2.0k 1.1× 1.9k 1.1× 1.6k 1.0× 1.5k 1.9× 1.4k 2.1× 126 4.5k
Catriel Beeri Israel 31 2.6k 1.5× 1.8k 1.1× 3.0k 1.8× 608 0.8× 330 0.5× 85 4.1k
Flip Korn United States 26 1.3k 0.7× 1.5k 0.9× 1.2k 0.7× 591 0.8× 397 0.6× 64 2.7k
Dmitri V. Kalashnikov United States 21 725 0.4× 1.1k 0.7× 848 0.5× 515 0.7× 562 0.8× 57 2.0k
Jan Chomicki United States 27 1.6k 0.9× 1.6k 0.9× 2.0k 1.2× 511 0.7× 468 0.7× 74 2.9k
Sunil Prabhakar United States 25 991 0.6× 1.9k 1.1× 1.5k 0.9× 598 0.8× 242 0.4× 103 2.8k
Neoklis Polyzotis United States 33 1.4k 0.8× 1.0k 0.6× 1.4k 0.9× 927 1.2× 547 0.8× 93 3.0k
Richard T. Snodgrass United States 39 2.5k 1.4× 3.5k 2.0× 4.5k 2.7× 1.5k 2.0× 260 0.4× 172 6.0k
Shuai Ma China 25 1.2k 0.7× 616 0.4× 835 0.5× 677 0.9× 875 1.3× 101 2.3k

Countries citing papers authored by Nilesh Dalvi

Since Specialization
Citations

This map shows the geographic impact of Nilesh Dalvi'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 Nilesh Dalvi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nilesh Dalvi more than expected).

Fields of papers citing papers by Nilesh Dalvi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nilesh Dalvi. 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 Nilesh Dalvi. The network helps show where Nilesh Dalvi may publish in the future.

Co-authorship network of co-authors of Nilesh Dalvi

This figure shows the co-authorship network connecting the top 25 collaborators of Nilesh Dalvi. A scholar is included among the top collaborators of Nilesh Dalvi 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 Nilesh Dalvi. Nilesh Dalvi 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.
Pal, Aditya, Nilesh Dalvi, & Kedar Bellare. (2013). Discovering Hierarchical Structure for Sources and Entities. Proceedings of the AAAI Conference on Artificial Intelligence. 27(1). 753–759. 2 indexed citations
2.
Dalvi, Nilesh, Anirban Dasgupta, Ravi Kumar, & Vibhor Rastogi. (2013). Aggregating crowdsourced binary ratings. 285–294. 95 indexed citations
3.
Dalvi, Nilesh, Vibhor Rastogi, Anirban Dasgupta, Anish Das Sarma, & Tamás Sarlós. (2013). Optimal hashing schemes for entity matching. 295–306. 10 indexed citations
4.
Dalvi, Nilesh, Aditya Parameswaran, & Vibhor Rastogi. (2012). Minimizing Uncertainty in Pipelines. Neural Information Processing Systems. 25. 2942–2950. 3 indexed citations
5.
Bohannon, Philip, et al.. (2012). Automatic web-scale information extraction. 609–612. 15 indexed citations
6.
Dalvi, Nilesh, Ashwin Machanavajjhala, & Bo Pang. (2012). An analysis of structured data on the web. Proceedings of the VLDB Endowment. 5(7). 680–691. 27 indexed citations
7.
Rastogi, Vibhor, Nilesh Dalvi, & Minos Garofalakis. (2011). Large-scale collective entity matching. Proceedings of the VLDB Endowment. 4(4). 208–218. 59 indexed citations
8.
Dalvi, Nilesh, Christopher Ré, & Dan Suciu. (2010). Queries and materialized views on probabilistic databases. Journal of Computer and System Sciences. 77(3). 473–490. 23 indexed citations
9.
Dalvi, Nilesh, Ravi Kumar, Bo Pang, & Andrew Tomkins. (2009). Matching reviews to objects using a language model. 2. 609–609. 15 indexed citations
10.
Dalvi, Nilesh, Philip Bohannon, & Fei Sha. (2009). Robust web extraction. 335–348. 49 indexed citations
11.
Dalvi, Nilesh, Christopher Ré, & Dan Suciu. (2009). Probabilistic databases. Communications of the ACM. 52(7). 86–94. 108 indexed citations
12.
Dalvi, Nilesh & Dan Suciu. (2007). Management of probabilistic data. 1–12. 189 indexed citations
13.
Ré, Christopher, Nilesh Dalvi, & Dan Suciu. (2007). Efficient Top-k Query Evaluation on Probabilistic Data. 886–895. 240 indexed citations
14.
Ré, Christopher, Nilesh Dalvi, & Dan Suciu. (2006). Query Evaluation on Probabilistic Databases. IEEE Data(base) Engineering Bulletin. 29. 25–31. 43 indexed citations
15.
Chaudhuri, Surajit, Nilesh Dalvi, & Raghav Kaushik. (2006). Robust Cardinality and Cost Estimation for Skyline Operator. 64–64. 95 indexed citations
16.
Dalvi, Nilesh & Dan Suciu. (2006). Efficient query evaluation on probabilistic databases. The VLDB Journal. 16(4). 523–544. 623 indexed citations breakdown →
17.
Dalvi, Nilesh & Dan Suciu. (2005). Answering queries from statistics and probabilistic views. Very Large Data Bases. 805–816. 45 indexed citations
18.
Suciu, Dan & Nilesh Dalvi. (2005). Foundations of probabilistic answers to queries. 963–963. 43 indexed citations
19.
Dalvi, Nilesh, Sumit Sanghai, Prasan Roy, & S. Sudarshan. (2003). Pipelining in multi-query optimization. Journal of Computer and System Sciences. 66(4). 728–762. 43 indexed citations
20.
Mudur, Sudhir P., et al.. (2001). Anti-aliased Hemicubes for Performance Improvements in Radiosity Solutions. Digital Library (University of West Bohemia). 336–343. 1 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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