Vinod Vaikuntanathan
- Artificial Intelligence top 0.1%
- Cryptography and Data Security 58
- Cryptographic Implementations and Security 20
- Privacy-Preserving Technologies in Data 15
- Coding theory and cryptography 7
- Security and Verification in Computing 6
- Computational Theory and Mathematics top 0.2%
- Complexity and Algorithms in Graphs 35
- Information Systems top 0.2%
- Cryptography and Residue Arithmetic 7
-
- Chaos-based Image/Signal Encryption 6
- Co-authors
- Zvika BrakerskiCraig GentryKristin LauterMichael NaehrigEran TromerAdriana López-AltS. GorbunovYael Tauman Kalai
- Journals
- SHILAP Revista de lepidopterología (1 paper)Journal of the ACM (2 papers)IEEE Transactions on Computers (1 paper)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Vinod Vaikuntanathan
67 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 4.4k
- Computational Theory and Mathematics 1.4k
- Information Systems 1.5k
- Computer Vision and Pattern Recognition 692
- Computer Networks and Communications 510
Countries citing papers authored by Vinod Vaikuntanathan
This map shows the geographic impact of Vinod Vaikuntanathan'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 Vinod Vaikuntanathan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vinod Vaikuntanathan more than expected).
Fields of papers citing papers by Vinod Vaikuntanathan
This network shows the impact of papers produced by Vinod Vaikuntanathan. 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 Vinod Vaikuntanathan. The network helps show where Vinod Vaikuntanathan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vinod Vaikuntanathan, 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 | 0 | |
| 2 | 2023 | 66 | |
| 3 | 2020 | 2 | |
| 4 | 2020 | 23 | |
| 5 | 2020 | 2 | |
| 6 | 3SUM with Preprocessing: Algorithms, Lower Bounds and Cryptographic Applications. | 2019 | 0 |
| 7 | Adversarially Robust Property Preserving Hash Functions. | 2018 | 1 |
| 8 | Splinter: Practical Private Queries on Public Data. | 2016 | 17 |
| 9 | Sieve: cryptographically enforced access control for user data in untrusted clouds | 2016 | 28 |
| 10 | Aggregate Pseudorandom Functions and Connections to Learning. | 2015 | 1 |
| 11 | 2015 | 42 | |
| 12 | Lattice-Based FHE as Secure as PKE. | 2013 | 2 |
| 13 | 2012 | 22 | |
| 14 | Efficient Fully Homomorphic Encryption from (Standard) LWE | 2011 | 4 |
| 15 | Functional Re-encryption and Collusion-Resistant Obfuscation | 2011 | 1 |
| 16 | Fully Homomorphic Encryption without Bootstrapping. | 2011 | 158 |
| 17 | Can homomorphic encryption be practical?breakdown → | 2011 | 545 |
| 18 | Robustness of the Learning with Errors Assumption | 2010 | 29 |
| 19 | Cryptography Resilient to Continual Memory Leakage | 2010 | 9 |
| 20 | Protecting Circuits from Leakage: the Computationally-Bounded and Noisy Cases | 2010 | 11 |
About Vinod Vaikuntanathan
Vinod Vaikuntanathan is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Hardware and Architecture, having authored 70 papers that have together received 4.8k indexed citations. Recurring topics across this work include Cryptography and Data Security (58 papers), Complexity and Algorithms in Graphs (35 papers), Cryptographic Implementations and Security (20 papers), Privacy-Preserving Technologies in Data (15 papers), Coding theory and cryptography (7 papers), Cryptography and Residue Arithmetic (7 papers), Chaos-based Image/Signal Encryption (6 papers) and Security and Verification in Computing (6 papers). The work is most often cited by research in Artificial Intelligence (4.4k citations), Computational Theory and Mathematics (1.4k citations) and Information Systems (1.5k citations). Vinod Vaikuntanathan has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Zvika Brakerski, Craig Gentry, Kristin Lauter, Michael Naehrig, Eran Tromer, Adriana López-Alt, S. Gorbunov, Yael Tauman Kalai, Shafi Goldwasser and Hoeteck Wee. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the ACM and IEEE Transactions on Computers.
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.