Rishab Goyal
Impact in
- Artificial Intelligence top 2%
- Cryptography and Data Security
- Quantum Information and Cryptography
- Privacy-Preserving Technologies in Data
- Quantum Computing Algorithms and Architecture
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- Blockchain Technology Applications and Security
- Cloud Data Security Solutions
- Cryptography and Residue Arithmetic
Papers in
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- Cryptography and Data Security 32
- Co-authors
- Brent R. Waters (19 shared papers)Venkata Koppula (15 shared papers)Shweta Agrawal (3 shared papers)Vipul Goyal (1 shared paper)Junichi Tomida (2 shared papers)Vinod Vaikuntanathan (2 shared papers)Susan Hohenberger (2 shared papers)Yael Tauman Kalai (1 shared paper)
- Journals
- Lecture notes in computer science (27 papers)SIAM Journal on Computing (1 paper)ACM SIGACT Symposium on Theory of Computing (STOC) (1 paper)DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) (1 paper)Annual Symposium on Foundations of Computer Science (2 papers)
- Partner nations
- United StatesIndiaJapan
In The Last Decade
Rishab Goyal
31 papers receiving 612 citations
Peers
Comparison fields: 5 of 9
- Artificial Intelligence 607
- Information Systems 21
- Computer Networks and Communications 7
- Computational Theory and Mathematics 2
- Signal Processing 1
Countries citing papers authored by Rishab Goyal
This map shows the geographic impact of Rishab Goyal'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 Rishab Goyal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rishab Goyal more than expected).
Fields of papers citing papers by Rishab Goyal
This network shows the impact of papers produced by Rishab Goyal. 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 Rishab Goyal. The network helps show where Rishab Goyal may publish in the future.
Co-authors
The 20 scholars most cited alongside Rishab Goyal, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 102 | |
| 2 | 2018 | 54 | |
| 3 | 2017 | 49 | |
| 4 | 2016 | 41 | |
| 5 | 2020 | 37 | |
| 6 | 2017 | 34 | |
| 7 | 2022 | 34 | |
| 8 | 2021 | 33 | |
| 9 | 2021 | 25 | |
| 10 | 2019 | 24 | |
| 11 | 2019 | 21 | |
| 12 | 2019 | 19 | |
| 13 | 2022 | 19 | |
| 14 | 2017 | 18 | |
| 15 | 2018 | 14 | |
| 16 | 2017 | 13 | |
| 17 | 2022 | 13 | |
| 18 | 2019 | 12 | |
| 19 | 2022 | 11 | |
| 20 | 2020 | 10 |
About Rishab Goyal
Rishab Goyal is a scholar working on Artificial Intelligence, Nuclear Energy and Engineering, Waste Management and Disposal, Infectious Diseases and Organic Chemistry, having authored 32 papers that have together received 623 indexed citations. Recurring topics across this work include Cryptography and Data Security (32 papers). The work is most often cited by research in Artificial Intelligence (607 citations), Information Systems (21 citations), Computer Networks and Communications (7 citations), Computational Theory and Mathematics (2 citations) and Signal Processing (1 citation). Rishab Goyal has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Brent R. Waters, Venkata Koppula, Shweta Agrawal, Vipul Goyal, Junichi Tomida, Vinod Vaikuntanathan, Susan Hohenberger, Yael Tauman Kalai, David J. Wu and Nathan Manohar. Their work appears in journals such as Lecture notes in computer science, SIAM Journal on Computing, ACM SIGACT Symposium on Theory of Computing (STOC), DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) and Annual Symposium on Foundations of Computer Science.
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.