Sanjay Krishnan
Impact in
- Health Informatics top 5%
-
- Data Quality and Management
Papers in
-
- Data Management and Algorithms 13
-
- Data Quality and Management 12
- Co-authors
- Jiannan WangMichael J. FranklinKen GoldbergEugene WuIhab F. IlyasXu ChuAnimesh GargPieter Abbeel
- Journals
- Proceedings of the VLDB Endowment (12 papers)The International Journal of Robotics Research (2 papers)IEEE Open Journal of Vehicular Technology (1 paper)Pediatric Allergy and Immunology (1 paper)Journal of Vision (1 paper)
- Partner nations
- United StatesCanadaIndia
In The Last Decade
Sanjay Krishnan
69 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Health Informatics 41
- Management Science and Operations Research 361
- Artificial Intelligence 881
- Signal Processing 266
- Computer Networks and Communications 400
Countries citing papers authored by Sanjay Krishnan
This map shows the geographic impact of Sanjay Krishnan'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 Sanjay Krishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjay Krishnan more than expected).
Fields of papers citing papers by Sanjay Krishnan
This network shows the impact of papers produced by Sanjay Krishnan. 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 Sanjay Krishnan. The network helps show where Sanjay Krishnan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sanjay Krishnan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 0 | |
| 10 | VergeDB: A Database for IoT Analytics on Edge Devices. | 2021 | 19 |
| 11 | 2021 | 16 | |
| 12 | CrocodileDB: Efficient Database Execution through Intelligent Deferment. | 2020 | 4 |
| 13 | Hierarchical Deep Reinforcement Learning For Robotics and Data Science | 2018 | 3 |
| 14 | Parametrized Hierarchical Procedures for Neural Programming | 2018 | 7 |
| 15 | 2017 | 99 | |
| 16 | SampleClean: Fast and Reliable Analytics on Dirty Data. | 2015 | 28 |
| 17 | 2015 | 4 | |
| 18 | 2015 | 14 | |
| 19 | 2014 | 1 | |
| 20 | 2011 | 0 |
About Sanjay Krishnan
Sanjay Krishnan is a scholar working on Signal Processing, Management Science and Operations Research, Computer Networks and Communications, Computer Science Applications and Artificial Intelligence, having authored 76 papers that have together received 1.8k indexed citations. Recurring topics across this work include Data Management and Algorithms (13 papers), Advanced Database Systems and Queries (13 papers), Data Quality and Management (12 papers), Robot Manipulation and Learning (9 papers), Advanced Data Storage Technologies (9 papers), Privacy-Preserving Technologies in Data (8 papers), Cloud Computing and Resource Management (7 papers) and Soft Robotics and Applications (6 papers). The work is most often cited by research in Health Informatics (41 citations), Management Science and Operations Research (361 citations), Artificial Intelligence (881 citations), Signal Processing (266 citations) and Computer Networks and Communications (400 citations). Sanjay Krishnan has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Jiannan Wang, Michael J. Franklin, Ken Goldberg, Eugene Wu, Ihab F. Ilyas, Xu Chu, Ken Goldberg, Animesh Garg, Pieter Abbeel and Tim Kraska. Their work appears in journals such as Proceedings of the VLDB Endowment, The International Journal of Robotics Research, IEEE Open Journal of Vehicular Technology, Pediatric Allergy and Immunology and Journal of Vision.
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.