Alexander Soshnikov
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- Advanced Combinatorial Mathematics 15
- Statistics and Probability top 0.5%
- Random Matrices and Applications 32
- Mathematical Physics top 1%
- Advanced Algebra and Geometry 20
- Stochastic processes and statistical mechanics 15
- Spectral Theory in Mathematical Physics 5
- Geometry and Topology top 5%
- Graph theory and applications 1
- Applied Mathematics top 5%
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- Quantum chaos and dynamical systems 2
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- Analytic Number Theory Research 2
- Co-authors
- Ya. G. SinaǐSean O’RourkeDavid RenfrewSandrine PéchéAlessandro PizzoAlexei BorodinLingyun LiVan Vu
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Communications in Mathematical Physics (4 papers)Annals of Mathematics (1 paper)
- Partner nations
- United StatesRussiaFrance
In The Last Decade
Alexander Soshnikov
33 papers receiving 756 citations
Peers
Comparison fields: 5 of 47
- Discrete Mathematics and Combinatorics 327
- Statistics and Probability 693
- Mathematical Physics 559
- Geometry and Topology 76
- Applied Mathematics 86
Countries citing papers authored by Alexander Soshnikov
This map shows the geographic impact of Alexander Soshnikov'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 Alexander Soshnikov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Soshnikov more than expected).
Fields of papers citing papers by Alexander Soshnikov
This network shows the impact of papers produced by Alexander Soshnikov. 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 Alexander Soshnikov. The network helps show where Alexander Soshnikov may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Alexander Soshnikov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2015 | 21 | |
| 3 | 2013 | 2 | |
| 4 | 2013 | 13 | |
| 5 | 2013 | 38 | |
| 6 | 2011 | 38 | |
| 7 | 2008 | 11 | |
| 8 | 2007 | 22 | |
| 9 | On the Largest Singular Values of Random Matrices with Independent Cauchy\n Entries | 2004 | 8 |
| 10 | 2003 | 1 | |
| 11 | 2003 | 10 | |
| 12 | 2003 | 19 | |
| 13 | 2002 | 77 | |
| 14 | 2001 | 13 | |
| 15 | 2000 | 76 | |
| 16 | 1998 | 51 | |
| 17 | 1998 | 94 | |
| 18 | 1998 | 23 | |
| 19 | Global level spacings distribution for large random matrices from classical compact groups : Gaussian fluctuations | 1997 | 1 |
| 20 | 1997 | 5 |
About Alexander Soshnikov
Alexander Soshnikov is a scholar working on Discrete Mathematics and Combinatorics, Statistics and Probability and Mathematical Physics, having authored 34 papers that have together received 812 indexed citations. Recurring topics across this work include Random Matrices and Applications (32 papers), Advanced Algebra and Geometry (20 papers), Stochastic processes and statistical mechanics (15 papers), Advanced Combinatorial Mathematics (15 papers), Spectral Theory in Mathematical Physics (5 papers), Quantum chaos and dynamical systems (2 papers), Analytic Number Theory Research (2 papers) and Graph theory and applications (1 paper). The work is most often cited by research in Discrete Mathematics and Combinatorics (327 citations), Statistics and Probability (693 citations) and Mathematical Physics (559 citations). Alexander Soshnikov has collaborated with scholars based in United States, Russia and France. Frequent co-authors include Ya. G. Sinaǐ, Sean O’Rourke, David Renfrew, Sandrine Péché, Alessandro Pizzo, Alexei Borodin, Lingyun Li, Van Vu, Jens Marklof and Yan V. Fyodorov. Their work appears in journals such as Proceedings of the National Academy of Sciences, Communications in Mathematical Physics and Annals of Mathematics.
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.