Gregory Valiant
Impact in
- Computational Mathematics top 5%
- Statistics and Probability top 2%
- Statistical Methods and Inference
Papers in
-
- Machine Learning and Algorithms 32
- Algorithms and Data Compression 10
- Machine Learning and Data Classification 9
-
- Auction Theory and Applications 9
- Game Theory and Applications 8
- Co-authors
- Paul Valiant (14 shared papers)Ankur Moitra (3 shared papers)Tim Roughgarden (5 shared papers)Ho-Lin Chen (2 shared papers)Adam Tauman Kalai (2 shared papers)Moses Charikar (2 shared papers)Jacob Steinhardt (3 shared papers)Aviv Zohar (4 shared papers)
- Journals
- Journal of the ACM (4 papers)SIAM Journal on Computing (2 papers)Random Structures and Algorithms (1 paper)Communications of the ACM (1 paper)The Annals of Statistics (1 paper)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Gregory Valiant
58 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 104
- Computational Mathematics 32
- Statistics and Probability 202
- Artificial Intelligence 810
- Management Science and Operations Research 231
- Signal Processing 151
Countries citing papers authored by Gregory Valiant
This map shows the geographic impact of Gregory Valiant'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 Gregory Valiant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory Valiant more than expected).
Fields of papers citing papers by Gregory Valiant
This network shows the impact of papers produced by Gregory Valiant. 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 Gregory Valiant. The network helps show where Gregory Valiant may publish in the future.
Co-authors
The 25 scholars most cited alongside Gregory Valiant, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 132 | |
| 2 | 2010 | 123 | |
| 3 | 2017 | 84 | |
| 4 | 2010 | 82 | |
| 5 | 2010 | 66 | |
| 6 | 2011 | 51 | |
| 7 | Designing networks with good equilibria | 2008 | 47 |
| 8 | Estimating the Unseen: Improved Estimators for Entropy and other Properties | 2013 | 43 |
| 9 | Learning Polynomials with Neural Networks | 2014 | 42 |
| 10 | 2017 | 41 | |
| 11 | A CLT and tight lower bounds for estimating entropy. | 2010 | 40 |
| 12 | 2014 | 35 | |
| 13 | 2012 | 33 | |
| 14 | 2012 | 31 | |
| 15 | 2016 | 30 | |
| 16 | 2018 | 30 | |
| 17 | 2017 | 29 | |
| 18 | Best-Response Mechanisms. | 2011 | 27 |
| 19 | 2012 | 26 | |
| 20 | 2011 | 25 |
About Gregory Valiant
Gregory Valiant is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computational Theory and Mathematics, Statistics and Probability and Computer Networks and Communications, having authored 59 papers that have together received 1.3k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (32 papers), Algorithms and Data Compression (10 papers), Auction Theory and Applications (9 papers), Machine Learning and Data Classification (9 papers), Game Theory and Applications (8 papers), Complexity and Algorithms in Graphs (8 papers), Sparse and Compressive Sensing Techniques (5 papers) and Statistical Methods and Inference (5 papers). The work is most often cited by research in Computational Mathematics (32 citations), Statistics and Probability (202 citations), Artificial Intelligence (810 citations), Management Science and Operations Research (231 citations) and Signal Processing (151 citations). Gregory Valiant has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Paul Valiant, Ankur Moitra, Tim Roughgarden, Ho-Lin Chen, Adam Tauman Kalai, Moses Charikar, Jacob Steinhardt, Aviv Zohar, Noam Nisan and Christos H. Papadimitriou. Their work appears in journals such as Journal of the ACM, SIAM Journal on Computing, Random Structures and Algorithms, Communications of the ACM and The Annals of Statistics.
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.