Gérard Ben Arous
- Mathematical Physics top 0.5%
- Statistics and Probability top 0.2%
- Condensed Matter Physics top 2%
- Artificial Intelligence top 2%
- Finance top 2%
- Co-authors
- Sandrine PéchéAlice GuionnetJinho BaikRémi LéandreJǐŕı ČernýYann LeCunAnna ChoromanskaMikael Henaff
- Topics
- Stochastic processes and statistical mechanics (44 papers)Theoretical and Computational Physics (30 papers)Random Matrices and Applications (16 papers)
- Journals
- Physical Review LettersCommunications in Mathematical PhysicsCommunications on Pure and Applied Mathematics
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Gérard Ben Arous
84 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Mathematical Physics 1.2k
- Statistics and Probability 1.1k
- Condensed Matter Physics 614
- Artificial Intelligence 509
- Finance 353
Countries citing papers authored by Gérard Ben Arous
This map shows the geographic impact of Gérard Ben Arous'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 Gérard Ben Arous with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gérard Ben Arous more than expected).
Fields of papers citing papers by Gérard Ben Arous
This network shows the impact of papers produced by Gérard Ben Arous. 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 Gérard Ben Arous. The network helps show where Gérard Ben Arous may publish in the future.
Co-authorship network of co-authors of Gérard Ben Arous
This figure shows the co-authorship network connecting the top 25 collaborators of Gérard Ben Arous. A scholar is included among the top collaborators of Gérard Ben Arous 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 Gérard Ben Arous. Gérard Ben Arous is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 26 | |
| 3 | 3 | |
| 4 | Comparing dynamics: deep neural networks versus glassy systems | 22 |
| 5 | Open Problem: The landscape of the loss surfaces of multilayer networks | 24 |
| 6 | The Loss Surface of Multilayer Networks. | 30 |
| 7 | EXPLORATIONS ON HIGH DIMENSIONAL LANDSCAPES | 1 |
| 8 | Bouchaud’s model exhibits two different aging regimes in dimension one | 27 |
| 9 | 30 | |
| 10 | 46 | |
| 11 | 3 | |
| 12 | Phase Transition for the Spherical Hierarchical Model | 2 |
| 13 | 43 | |
| 14 | 12 | |
| 15 | 7 | |
| 16 | Normes holderiennes et support des diffusions | 3 |
| 17 | Precise asymptotics in large deviations | 5 |
| 18 | 39 | |
| 19 | Géométrie de la courbe brownienne plane | 1 |
| 20 | Methode de Laplace: étude variationnelle des fluctuations de diffusions de type champ moyen | 17 |
About Gérard Ben Arous
Gérard Ben Arous is a scholar working on Mathematical Physics, Statistics and Probability and Computational Mathematics, having authored 86 papers that have together received 2.8k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (44 papers), Theoretical and Computational Physics (30 papers) and Random Matrices and Applications (16 papers). The work is most often cited by research in Mathematical Physics (1.2k citations), Statistics and Probability (1.1k citations) and Computational Mathematics (43 citations). Gérard Ben Arous has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Sandrine Péché, Alice Guionnet, Jinho Baik, Rémi Léandre, Jǐŕı Černý, Yann LeCun, Anna Choromanska, Mikael Henaff, Michaël Mathieu and Antonio Auffinger. Their work appears in journals such as Physical Review Letters, Communications in Mathematical Physics and Communications on Pure and Applied 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.