Ryan O’Donnell

6.1k citations
120 papers · 2.4k indexed · h-index 26

Ryan O’Donnell

105 papers receiving 2.1k citations

Peers

Ryan O’Donnell
Comparison fields: 5 of 85
  • Computational Theory and Mathematics 1.4k
  • Discrete Mathematics and Combinatorics 187
  • Computer Graphics and Computer-Aided Design 159
  • Artificial Intelligence 1.3k
  • Statistics and Probability 230
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Citations per field
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Citations per year

Countries citing papers authored by Ryan O’Donnell

Since Specialization
Citations

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

Fields of papers citing papers by Ryan O’Donnell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan O’Donnell. 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 Ryan O’Donnell. The network helps show where Ryan O’Donnell may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ryan O’Donnell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ryan O’Donnell Line = papers co-authored together Ryan O’Donnell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2
Learning sparse mixtures of permutations from noisy information
20210
3
20211
4 20211
5 20201
6
X-Ramanujan graphs
20201
7
20201
8 20192
9 201712
10
20170
11
Continuous analogues of the Most Informative Function problem
20151
12 20145
13 20146
14 201325
15
20131
16
Improved small-set expansion from higher eigenvalues
20124
17
200911
18
Optimal Inapproximability Results for MAX-CUT and Other 2-Variable CSPs?
200519
19 200516
20 200332

About Ryan O’Donnell

Ryan O’Donnell is a scholar working on Computational Theory and Mathematics, Computer Graphics and Computer-Aided Design, Discrete Mathematics and Combinatorics, Artificial Intelligence and Computational Mathematics, having authored 120 papers that have together received 2.4k indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (59 papers), Machine Learning and Algorithms (38 papers), Advanced Graph Theory Research (26 papers), Algorithms and Data Compression (19 papers), Computational Geometry and Mesh Generation (11 papers), Optimization and Search Problems (10 papers), Cryptography and Data Security (9 papers) and semigroups and automata theory (8 papers). The work is most often cited by research in Computational Theory and Mathematics (1.4k citations), Discrete Mathematics and Combinatorics (187 citations), Computer Graphics and Computer-Aided Design (159 citations), Artificial Intelligence (1.3k citations) and Statistics and Probability (230 citations). Ryan O’Donnell has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Elchanan Mossel, Rocco A. Servedio, Guy Kindler, Subhash Khot, John C. Wright, Krzysztof Oleszkiewicz, Adam R. Klivans, Yi Wu, Yuan Zhou and David Witmer. Their work appears in journals such as SIAM Journal on Computing, Theory of Computing, Journal of Computer and System Sciences, Israel Journal of Mathematics and Random Structures and Algorithms.

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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