Abhi Shelat
- Artificial Intelligence top 1%
- Information Systems top 1%
- Computational Theory and Mathematics top 2%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Sebastian SchneeweißJeremy A. RassenRobert J. GlynnSimson GarfinkelJack DoernerJessica A. MyersKenneth J. RothmanEric Lehman
- Topics
- Cryptography and Data Security (29 papers)Complexity and Algorithms in Graphs (12 papers)Privacy-Preserving Technologies in Data (11 papers)
- Partner nations
- United StatesSwitzerlandMexico
In The Last Decade
Abhi Shelat
44 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Artificial Intelligence 1.0k
- Information Systems 498
- Computational Theory and Mathematics 294
- Computer Networks and Communications 288
- Computer Vision and Pattern Recognition 131
Countries citing papers authored by Abhi Shelat
This map shows the geographic impact of Abhi Shelat'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 Abhi Shelat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhi Shelat more than expected).
Fields of papers citing papers by Abhi Shelat
This network shows the impact of papers produced by Abhi Shelat. 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 Abhi Shelat. The network helps show where Abhi Shelat may publish in the future.
Co-authorship network of co-authors of Abhi Shelat
This figure shows the co-authorship network connecting the top 25 collaborators of Abhi Shelat. A scholar is included among the top collaborators of Abhi Shelat 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 Abhi Shelat. Abhi Shelat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 13 | |
| 4 | 63 | |
| 5 | The Cut-and-Choose Game and Its Application to Cryptographic Protocols | 6 |
| 6 | 40 | |
| 7 | 4 | |
| 8 | 41 | |
| 9 | 62 | |
| 10 | 124 | |
| 11 | One‐to‐many propensity score matching in cohort studiesbreakdown → | 392 |
| 12 | Renegotiation-Safe Protocols. | 3 |
| 13 | 7 | |
| 14 | 49 | |
| 15 | Searching for stable mechanisms: automated design for imperfect players | 3 |
| 16 | 38 | |
| 17 | 22 | |
| 18 | IEEE Security & Privacy: Data Forensics - Rememberance of Data Passed: A Study of Disk Sanitization Practices. | 3 |
| 19 | 153 | |
| 20 | 51 |
About Abhi Shelat
Abhi Shelat is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems, having authored 45 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cryptography and Data Security (29 papers), Complexity and Algorithms in Graphs (12 papers) and Privacy-Preserving Technologies in Data (11 papers). The work is most often cited by research in Artificial Intelligence (1.0k citations), Information Systems (498 citations) and Computational Theory and Mathematics (294 citations). Abhi Shelat has collaborated with scholars based in United States, Switzerland and Mexico. Frequent co-authors include Sebastian Schneeweiß, Jeremy A. Rassen, Robert J. Glynn, Simson Garfinkel, Jack Doerner, Jessica A. Myers, Kenneth J. Rothman, Eric Lehman, Yashvanth Kondi and Eysa Lee. Their work appears in journals such as IEEE Transactions on Information Theory, Epidemiology and Pharmacoepidemiology and Drug Safety.
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.