Umesh Vazirani

16.6k total citations · 5 hit papers
103 papers, 7.9k citations indexed

About

Umesh Vazirani is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Umesh Vazirani has authored 103 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Artificial Intelligence, 50 papers in Computational Theory and Mathematics and 23 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Umesh Vazirani's work include Quantum Computing Algorithms and Architecture (42 papers), Quantum Information and Cryptography (29 papers) and Computability, Logic, AI Algorithms (23 papers). Umesh Vazirani is often cited by papers focused on Quantum Computing Algorithms and Architecture (42 papers), Quantum Information and Cryptography (29 papers) and Computability, Logic, AI Algorithms (23 papers). Umesh Vazirani collaborates with scholars based in United States, Israel and Canada. Umesh Vazirani's co-authors include Ethan Bernstein, Vijay V. Vazirani, Michael Kearns, Thomas Vidick, Ketan Mulmuley, Satish Rao, Gilles Brassard, Charles H. Bennett, Andris Ambainis and Sanjeev Arora and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Umesh Vazirani

101 papers receiving 7.3k citations

Hit Papers

An Introduction to Comput... 1993 2026 2004 2015 1994 1993 1997 1997 2014 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Umesh Vazirani United States 36 5.4k 3.2k 2.0k 1.4k 643 103 7.9k
Andrew Chi-Chih Yao United States 42 8.1k 1.5× 3.9k 1.2× 845 0.4× 2.4k 1.7× 372 0.6× 150 12.0k
Gregory J. Chaitin United States 26 2.1k 0.4× 2.6k 0.8× 325 0.2× 784 0.6× 230 0.4× 68 5.4k
Carl D. Meyer United States 38 1.3k 0.2× 2.8k 0.9× 754 0.4× 1.2k 0.8× 383 0.6× 76 8.4k
Avi Wigderson United States 53 8.3k 1.5× 7.6k 2.4× 266 0.1× 2.7k 1.9× 332 0.5× 294 12.5k
Márió Szegedy United States 28 3.2k 0.6× 3.2k 1.0× 205 0.1× 1.5k 1.1× 169 0.3× 83 5.2k
Boaz Barak United States 26 2.5k 0.5× 1.8k 0.6× 242 0.1× 710 0.5× 215 0.3× 77 4.1k
Andrew Odlyzko United States 44 2.2k 0.4× 1.4k 0.4× 147 0.1× 1.2k 0.9× 361 0.6× 219 6.7k
Michael Ben-Or Israel 27 3.3k 0.6× 1.8k 0.6× 477 0.2× 1.3k 0.9× 87 0.1× 52 4.5k
Leslie G. Valiant United States 44 9.4k 1.7× 6.7k 2.1× 292 0.1× 4.6k 3.2× 519 0.8× 99 16.7k
Adam Smith United States 31 3.7k 0.7× 310 0.1× 756 0.4× 489 0.3× 203 0.3× 107 5.2k

Countries citing papers authored by Umesh Vazirani

Since Specialization
Citations

This map shows the geographic impact of Umesh Vazirani'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 Umesh Vazirani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Umesh Vazirani more than expected).

Fields of papers citing papers by Umesh Vazirani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Umesh Vazirani. 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 Umesh Vazirani. The network helps show where Umesh Vazirani may publish in the future.

Co-authorship network of co-authors of Umesh Vazirani

This figure shows the co-authorship network connecting the top 25 collaborators of Umesh Vazirani. A scholar is included among the top collaborators of Umesh Vazirani 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 Umesh Vazirani. Umesh Vazirani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhu, Daiwei, L. H. Lewis, Crystal Noel, et al.. (2023). Interactive cryptographic proofs of quantumness using mid-circuit measurements. Nature Physics. 19(11). 1725–1731. 10 indexed citations
2.
Zhu, Daiwei, Crystal Noel, Andrew Risinger, et al.. (2021). Demonstration of Interactive Protocols for Classically-Verifiable Quantum Advantage. Bulletin of the American Physical Society. 2 indexed citations
3.
Block, Maxwell, Johannes Motruk, Snir Gazit, et al.. (2021). Performance of the rigorous renormalization group for first-order phase transitions and topological phases. Physical review. B.. 103(19). 4 indexed citations
4.
Brakerski, Zvika, et al.. (2018). Certifiable Randomness from a Single Quantum Device.. arXiv (Cornell University). 4 indexed citations
5.
Bouland, Adam, Bill Fefferman, Chinmay Nirkhe, & Umesh Vazirani. (2018). On the complexity and verification of quantum random circuit sampling. Nature Physics. 15(2). 159–163. 158 indexed citations
6.
Landau, Zeph, Umesh Vazirani, & Thomas Vidick. (2014). An efficient algorithm for finding the ground state of 1D gapped local hamiltonians. 301–302. 1 indexed citations
7.
Vazirani, Umesh & Thomas Vidick. (2014). Robust device independent quantum key distribution. 35–36. 3 indexed citations
8.
Vazirani, Umesh & Thomas Vidick. (2012). Certifiable quantum dice. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 370(1971). 3432–3448. 24 indexed citations
9.
Arad, Itai, Zeph Landau, & Umesh Vazirani. (2012). Improved one-dimensional area law for frustration-free systems. Physical Review B. 85(19). 44 indexed citations
10.
Weiss, David S., et al.. (2003). An omniscient Maxwell's demon. 34.
11.
Ambainis, Andris, Leonard J. Schulman, Amnon Ta‐Shma, Umesh Vazirani, & Avi Wigderson. (2002). The quantum communication complexity of sampling. 342–351. 25 indexed citations
12.
Marschak, Thomas & Umesh Vazirani. (1991). Communication costs in the performance of unrelated tasks: Continuum models and finite models. Journal of Organizational Computing and Electronic Commerce. 1(2). 205–218. 1 indexed citations
13.
Vazirani, Umesh & Vijay V. Vazirani. (1989). The Two-Processor Scheduling Problem is in Random NC. SIAM Journal on Computing. 18(6). 1140–1148. 6 indexed citations
14.
Vazirani, Umesh. (1987). Efficiency Considerations in Using Semi-random Sources (Extended Abstract). 160–168. 3 indexed citations
15.
Kozen, Dexter, Umesh Vazirani, & Vijay V. Vazirani. (1985). NC Algorithms for Comparability Graphs, Interval Gaphs, and Testing for Unique Perfect Matching. 496–503. 11 indexed citations
16.
Vazirani, Umesh. (1985). Towards a Strong Communication Complexity Theory or Generating Quasi-Random Sequences from Two Communicating Slightly-random Sources (Extended Abstract). 366–378. 10 indexed citations
17.
Vazirani, Umesh & Vijay V. Vazirani. (1985). Efficient and secure pseudo-random number generation. 193–202. 9 indexed citations
18.
Sántha, Miklós & Umesh Vazirani. (1984). Generating Quasi-Random Sequences from Slightly-Random Sources (Extended Abstract). 434–440. 4 indexed citations
19.
Vazirani, Umesh & Vijay V. Vazirani. (1983). RSA Bits are 732+epsilon Secure.. 369–375. 1 indexed citations
20.
Vazirani, Umesh & Vijay V. Vazirani. (1983). A natural encoding scheme proved probabilistic polynomial complete. Theoretical Computer Science. 24(3). 291–300. 18 indexed citations

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.

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