Jonathan Ullman
Impact in
- Artificial Intelligence top 2%
- 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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- Mobile Crowdsensing and Crowdsourcing
Papers in
-
- Privacy-Preserving Technologies in Data 49
- Cryptography and Data Security 34
- Machine Learning and Algorithms 6
- Internet Traffic Analysis and Secure E-voting 5
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- Complexity and Algorithms in Graphs 14
- Co-authors
- Aaron Roth (13 shared papers)Thomas Steinke (12 shared papers)Adam Gammon-Smith (10 shared papers)Salil Vadhan (6 shared papers)Anupam Gupta (3 shared papers)Cynthia Dwork (3 shared papers)Moritz Hardt (3 shared papers)Mark Bun (4 shared papers)
- Journals
- SIAM Journal on Computing (4 papers)ACM Transactions on Economics and Computation (2 papers)IEEE Transactions on Information Theory (2 papers)Journal of Cryptology (1 paper)Communications of the ACM (1 paper)
- Partner nations
- United StatesMexicoIsrael
In The Last Decade
Jonathan Ullman
62 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 1.1k
- Computer Science Applications 153
- Computational Theory and Mathematics 251
- Management Science and Operations Research 137
- Statistics and Probability 72
Countries citing papers authored by Jonathan Ullman
This map shows the geographic impact of Jonathan Ullman'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 Jonathan Ullman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Ullman more than expected).
Fields of papers citing papers by Jonathan Ullman
This network shows the impact of papers produced by Jonathan Ullman. 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 Jonathan Ullman. The network helps show where Jonathan Ullman may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Ullman, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 156 | |
| 2 | 2012 | 114 | |
| 3 | 2015 | 73 | |
| 4 | 2010 | 67 | |
| 5 | 2016 | 65 | |
| 6 | 2014 | 64 | |
| 7 | 2011 | 64 | |
| 8 | 2014 | 58 | |
| 9 | 1967 | 53 | |
| 10 | 2012 | 48 | |
| 11 | 2011 | 45 | |
| 12 | 2014 | 42 | |
| 13 | 1966 | 37 | |
| 14 | 2013 | 35 | |
| 15 | 2016 | 26 | |
| 16 | 2014 | 23 | |
| 17 | 2014 | 23 | |
| 18 | 2014 | 22 | |
| 19 | 2015 | 21 | |
| 20 | 2013 | 19 |
About Jonathan Ullman
Jonathan Ullman is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research, Computer Science Applications and Computer Networks and Communications, having authored 65 papers that have together received 1.3k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (49 papers), Cryptography and Data Security (34 papers), Complexity and Algorithms in Graphs (14 papers), Auction Theory and Applications (8 papers), Mobile Crowdsensing and Crowdsourcing (8 papers), Machine Learning and Algorithms (6 papers), Internet Traffic Analysis and Secure E-voting (5 papers) and Game Theory and Voting Systems (4 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Computer Science Applications (153 citations), Computational Theory and Mathematics (251 citations), Management Science and Operations Research (137 citations) and Statistics and Probability (72 citations). Jonathan Ullman has collaborated with scholars based in United States, Mexico and Israel. Frequent co-authors include Aaron Roth, Thomas Steinke, Adam Gammon-Smith, Salil Vadhan, Anupam Gupta, Cynthia Dwork, Moritz Hardt, Mark Bun, Justin Thaler and Mallesh M. Pai. Their work appears in journals such as SIAM Journal on Computing, ACM Transactions on Economics and Computation, IEEE Transactions on Information Theory, Journal of Cryptology and Communications of the ACM.
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.