Divesh Srivastava
- Artificial Intelligence top 0.05%
- Computer Networks and Communications top 0.05%
- Signal Processing top 0.05%
- Information Systems top 0.1%
- Management Science and Operations Research top 0.05%
- Co-authors
- Nick KoudasGraham CormodeCecilia M. ProcopiucFlip KornXin Luna DongYan ZhaoNicolas BrunoH. V. Jagadish
- Topics
- Advanced Database Systems and Queries (173 papers)Data Management and Algorithms (146 papers)Data Quality and Management (110 papers)
- Journals
- Trends in Biochemical SciencesCommunications of the ACMIEEE Transactions on Knowledge and Data Engineering
- Partner nations
- United StatesCanadaSingapore
In The Last Decade
Divesh Srivastava
335 papers receiving 11.4k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Artificial Intelligence 7.5k
- Computer Networks and Communications 6.2k
- Signal Processing 4.7k
- Information Systems 3.2k
- Management Science and Operations Research 2.8k
Countries citing papers authored by Divesh Srivastava
This map shows the geographic impact of Divesh Srivastava'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 Divesh Srivastava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Divesh Srivastava more than expected).
Fields of papers citing papers by Divesh Srivastava
This network shows the impact of papers produced by Divesh Srivastava. 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 Divesh Srivastava. The network helps show where Divesh Srivastava may publish in the future.
Co-authorship network of co-authors of Divesh Srivastava
This figure shows the co-authorship network connecting the top 25 collaborators of Divesh Srivastava. A scholar is included among the top collaborators of Divesh Srivastava 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 Divesh Srivastava. Divesh Srivastava is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | The Secret Life of Wikipedia Tables. | 0 |
| 8 | Big Data Integration for Product Specifications. | 1 |
| 9 | 212 | |
| 10 | Proceedings of the 2012 Joint EDBT/ICDT Workshops | 5 |
| 11 | 225 | |
| 12 | Column heterogeneity as a measure of data quality | 8 |
| 13 | MIX: a meta-data indexing system for XML | 1 |
| 14 | Evaluating Answer Quality/Efficiency Tradeoffs. | 1 |
| 15 | Fault Tolerance Issues in Data Declustering for Parallel Database Systems. | 5 |
| 16 | Efficient incremental evaluation of queries with aggregation | 30 |
| 17 | Extending the well-founded and valid semantics for aggregation | 13 |
| 18 | Coral++: Adding Object-Orientation to a Logic Database Language | 30 |
| 19 | CORAL - Control, Relations and Logic | 83 |
| 20 | Controlling the Search in Bottom-Up Evaluation. | 24 |
About Divesh Srivastava
Divesh Srivastava is a scholar working on Signal Processing, Management Science and Operations Research and Computer Networks and Communications, having authored 352 papers that have together received 12.4k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (173 papers), Data Management and Algorithms (146 papers) and Data Quality and Management (110 papers). The work is most often cited by research in Signal Processing (4.7k citations), Computer Networks and Communications (6.2k citations) and Artificial Intelligence (7.5k citations). Divesh Srivastava has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include Nick Koudas, Graham Cormode, Cecilia M. Procopiuc, Flip Korn, Xin Luna Dong, Yan Zhao, Nicolas Bruno, H. V. Jagadish, Ting Yu and S. Muthukrishnan. Their work appears in journals such as Trends in Biochemical Sciences, Communications of the ACM and IEEE Transactions on Knowledge and Data Engineering.
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.