Nilesh Dalvi
- Artificial Intelligence top 0.5%
- Signal Processing top 0.2%
- Computer Networks and Communications top 0.5%
- Information Systems top 1%
- Management Science and Operations Research top 0.5%
- Co-authors
- Dan SuciuChristopher RéSumit SanghaiMausam MausamPedro DomingosDeepak Kumar VermaRavi KumarVibhor Rastogi
- Topics
- Data Management and Algorithms (20 papers)Advanced Database Systems and Queries (17 papers)Data Quality and Management (11 papers)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Nilesh Dalvi
41 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 1.8k
- Signal Processing 1.7k
- Computer Networks and Communications 1.7k
- Information Systems 773
- Management Science and Operations Research 678
Countries citing papers authored by Nilesh Dalvi
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 95 | |
| 3 | 10 | |
| 4 | Minimizing Uncertainty in Pipelines | 3 |
| 5 | 15 | |
| 6 | 27 | |
| 7 | 59 | |
| 8 | 23 | |
| 9 | 15 | |
| 10 | 49 | |
| 11 | 108 | |
| 12 | 189 | |
| 13 | 240 | |
| 14 | Query Evaluation on Probabilistic Databases | 43 |
| 15 | 95 | |
| 16 | Efficient query evaluation on probabilistic databasesbreakdown → | 623 |
| 17 | Answering queries from statistics and probabilistic views | 45 |
| 18 | 43 | |
| 19 | 43 | |
| 20 | Anti-aliased Hemicubes for Performance Improvements in Radiosity Solutions | 1 |
About Nilesh Dalvi
Nilesh Dalvi is a scholar working on Signal Processing, Management Science and Operations Research and Artificial Intelligence, having authored 41 papers that have together received 3.1k indexed citations. Recurring topics across this work include Data Management and Algorithms (20 papers), Advanced Database Systems and Queries (17 papers) and Data Quality and Management (11 papers). The work is most often cited by research in Signal Processing (1.7k citations), Computer Networks and Communications (1.7k citations) and Artificial Intelligence (1.8k citations). Nilesh Dalvi has collaborated with scholars based in United States, Israel and United Kingdom. Frequent 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. Their work appears in journals such as Communications of the ACM, Journal of the ACM and Proceedings of the VLDB Endowment.
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.