Deepesh Data
Impact in
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Stochastic Gradient Optimization Techniques
- Internet Traffic Analysis and Secure E-voting
- Adversarial Robustness in Machine Learning
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- Distributed Control Multi-Agent Systems
Papers in
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- Privacy-Preserving Technologies in Data 13
- Cryptography and Data Security 11
- Stochastic Gradient Optimization Techniques 7
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- Complexity and Algorithms in Graphs 6
- Co-authors
- Suhas Diggavi (14 shared papers)Antonious M. Girgis (5 shared papers)Jemin George (2 shared papers)Peter Kairouz (2 shared papers)Ananda Theertha Suresh (2 shared papers)Vinod M. Prabhakaran (4 shared papers)Manoj Prabhakaran (2 shared papers)Linqi Song (2 shared papers)
- Journals
- IEEE Transactions on Automatic Control (2 papers)IEEE Transactions on Information Theory (2 papers)Journal of Cryptology (1 paper)Lecture notes in computer science (2 papers)International Conference on Artificial Intelligence and Statistics (1 paper)
- Partner nations
- United StatesIndiaHong Kong
In The Last Decade
Deepesh Data
19 papers receiving 199 citations
Peers
Comparison fields: 5 of 29
- Artificial Intelligence 173
- Computer Networks and Communications 58
- Computer Science Applications 11
- Computational Mathematics 1
- Computational Theory and Mathematics 26
Countries citing papers authored by Deepesh Data
This map shows the geographic impact of Deepesh Data'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 Deepesh Data with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepesh Data more than expected).
Fields of papers citing papers by Deepesh Data
This network shows the impact of papers produced by Deepesh Data. 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 Deepesh Data. The network helps show where Deepesh Data may publish in the future.
Co-authors
The 13 scholars most cited alongside Deepesh Data, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 37 | |
| 2 | 2022 | 36 | |
| 3 | Shuffled Model of Differential Privacy in Federated Learning | 2021 | 23 |
| 4 | 2016 | 21 | |
| 5 | 2020 | 18 | |
| 6 | 2019 | 11 | |
| 7 | 2018 | 10 | |
| 8 | 2023 | 8 | |
| 9 | 2018 | 8 | |
| 10 | 2021 | 7 | |
| 11 | 2014 | 6 | |
| 12 | 2020 | 4 | |
| 13 | 2022 | 2 | |
| 14 | 2015 | 2 | |
| 15 | 2019 | 2 | |
| 16 | 2018 | 2 | |
| 17 | 2020 | 1 | |
| 18 | 2013 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2023 | 0 |
About Deepesh Data
Deepesh Data is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 200 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (13 papers), Cryptography and Data Security (11 papers), Stochastic Gradient Optimization Techniques (7 papers), Complexity and Algorithms in Graphs (6 papers), Wireless Communication Security Techniques (4 papers), Cooperative Communication and Network Coding (2 papers), Distributed Control Multi-Agent Systems (2 papers) and Sparse and Compressive Sensing Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (173 citations), Computer Networks and Communications (58 citations), Computer Science Applications (11 citations), Computational Mathematics (1 citation) and Computational Theory and Mathematics (26 citations). Deepesh Data has collaborated with scholars based in United States, India and Hong Kong. Frequent co-authors include Suhas Diggavi, Antonious M. Girgis, Jemin George, Peter Kairouz, Ananda Theertha Suresh, Vinod M. Prabhakaran, Manoj Prabhakaran, Linqi Song, Elette Boyle and Ran Cohen. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Information Theory, Journal of Cryptology, Lecture notes in computer science and International Conference on Artificial Intelligence and Statistics.
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.