Ivan Corwin
Impact in
- Statistics and Probability top 0.2%
- Random Matrices and Applications
- Markov Chains and Monte Carlo Methods
- Mathematical Physics top 0.5%
- Stochastic processes and statistical mechanics
Papers in
-
- Random Matrices and Applications 42
-
- Stochastic processes and statistical mechanics 35
- Co-authors
- Alexei Borodin (8 shared papers)Jeremy Quastel (4 shared papers)Gideon Amir (1 shared paper)Alan Hammond (3 shared papers)Hao Shen (4 shared papers)Daniel Remenik (4 shared papers)Patrik L. Ferrari (4 shared papers)Li‐Cheng Tsai (3 shared papers)
- Journals
- Communications in Mathematical Physics (6 papers)Probability Theory and Related Fields (4 papers)Journal of Statistical Physics (4 papers)International Mathematics Research Notices (3 papers)Bulletin of the American Mathematical Society (3 papers)
- Partner nations
- United StatesFranceRussia
In The Last Decade
Ivan Corwin
51 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 50
- Statistics and Probability 1.1k
- Mathematical Physics 1.1k
- Discrete Mathematics and Combinatorics 224
- Condensed Matter Physics 545
- Geometry and Topology 154
Countries citing papers authored by Ivan Corwin
This map shows the geographic impact of Ivan Corwin'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 Ivan Corwin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Corwin more than expected).
Fields of papers citing papers by Ivan Corwin
This network shows the impact of papers produced by Ivan Corwin. 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 Ivan Corwin. The network helps show where Ivan Corwin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Corwin, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 340 | |
| 2 | 2013 | 168 | |
| 3 | 2013 | 94 | |
| 4 | 2015 | 59 | |
| 5 | 2015 | 56 | |
| 6 | 2015 | 47 | |
| 7 | 2013 | 47 | |
| 8 | 2016 | 39 | |
| 9 | 2018 | 38 | |
| 10 | 2015 | 35 | |
| 11 | 2012 | 33 | |
| 12 | 2018 | 30 | |
| 13 | 2012 | 28 | |
| 14 | 2017 | 28 | |
| 15 | 2019 | 25 | |
| 16 | 2016 | 22 | |
| 17 | Differential Geometry of Manifolds with Density | 2006 | 19 |
| 18 | 2015 | 19 | |
| 19 | 2013 | 19 | |
| 20 | 2014 | 17 |
About Ivan Corwin
Ivan Corwin is a scholar working on Statistics and Probability, Mathematical Physics, Condensed Matter Physics, Discrete Mathematics and Combinatorics and Geometry and Topology, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Random Matrices and Applications (42 papers), Stochastic processes and statistical mechanics (35 papers), Theoretical and Computational Physics (18 papers), Advanced Combinatorial Mathematics (10 papers), Bayesian Methods and Mixture Models (7 papers), Algebraic structures and combinatorial models (5 papers), Point processes and geometric inequalities (3 papers) and Geometric Analysis and Curvature Flows (2 papers). The work is most often cited by research in Statistics and Probability (1.1k citations), Mathematical Physics (1.1k citations), Discrete Mathematics and Combinatorics (224 citations), Condensed Matter Physics (545 citations) and Geometry and Topology (154 citations). Ivan Corwin has collaborated with scholars based in United States, France and Russia. Frequent co-authors include Alexei Borodin, Jeremy Quastel, Gideon Amir, Alan Hammond, Hao Shen, Daniel Remenik, Patrik L. Ferrari, Li‐Cheng Tsai, Vadim Gorin and Sandrine Péché. Their work appears in journals such as Communications in Mathematical Physics, Probability Theory and Related Fields, Journal of Statistical Physics, International Mathematics Research Notices and Bulletin of the American Mathematical Society.
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.