Florent Benaych-Georges
- Statistics and Probability top 0.5%
- Mathematical Physics top 5%
- Discrete Mathematics and Combinatorics top 2%
- Computational Mechanics top 10%
- Signal Processing top 5%
- Co-authors
- Raj Rao NadakuditiAlice GuionnetMylène MaïdaSandrine PéchéAntti KnowlesCharles BordenaveGrégoire IthierThierry Lévy
- Topics
- Random Matrices and Applications (32 papers)Advanced Algebra and Geometry (17 papers)Advanced Combinatorial Mathematics (17 papers)
- Journals
- Communications in Mathematical PhysicsJournal of Statistical PhysicsAdvances in Mathematics
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Florent Benaych-Georges
33 papers receiving 727 citations
Peers
Comparison fields: 5 of 58
- Statistics and Probability 555
- Mathematical Physics 285
- Discrete Mathematics and Combinatorics 180
- Computational Mechanics 136
- Signal Processing 127
Countries citing papers authored by Florent Benaych-Georges
This map shows the geographic impact of Florent Benaych-Georges'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 Florent Benaych-Georges with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florent Benaych-Georges more than expected).
Fields of papers citing papers by Florent Benaych-Georges
This network shows the impact of papers produced by Florent Benaych-Georges. 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 Florent Benaych-Georges. The network helps show where Florent Benaych-Georges may publish in the future.
Co-authorship network of co-authors of Florent Benaych-Georges
This figure shows the co-authorship network connecting the top 25 collaborators of Florent Benaych-Georges. A scholar is included among the top collaborators of Florent Benaych-Georges based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Florent Benaych-Georges. Florent Benaych-Georges is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 26 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 17 | |
| 8 | 5 | |
| 9 | 8 | |
| 10 | A note on GUE minors, maximal Brownian functionals and longest increasing subsequences | 0 |
| 11 | 149 | |
| 12 | 3 | |
| 13 | 238 | |
| 14 | 16 | |
| 15 | 7 | |
| 16 | 3 | |
| 17 | 39 | |
| 18 | 10 | |
| 19 | 9 | |
| 20 | 18 |
About Florent Benaych-Georges
Florent Benaych-Georges is a scholar working on Discrete Mathematics and Combinatorics, Statistics and Probability and Mathematical Physics, having authored 35 papers that have together received 754 indexed citations. Recurring topics across this work include Random Matrices and Applications (32 papers), Advanced Algebra and Geometry (17 papers) and Advanced Combinatorial Mathematics (17 papers). The work is most often cited by research in Statistics and Probability (555 citations), Discrete Mathematics and Combinatorics (180 citations) and Mathematical Physics (285 citations). Florent Benaych-Georges has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Raj Rao Nadakuditi, Alice Guionnet, Mylène Maïda, Sandrine Péché, Antti Knowles, Charles Bordenave, Grégoire Ithier, Thierry Lévy, Serban T. Belinschi and Nathanaël Enriquez. Their work appears in journals such as Communications in Mathematical Physics, Journal of Statistical Physics and Advances in 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.