Michel Benaı̈m
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- Game Theory and Applications 11
- Mathematical Physics top 2%
- Stochastic processes and statistical mechanics 20
- Mathematical Dynamics and Fractals 15
- Statistics and Probability top 2%
- Markov Chains and Monte Carlo Methods 10
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- Quantum chaos and dynamical systems 6
- Modeling and Simulation top 5%
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- Stochastic processes and financial applications 17
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- Neural Networks and Applications 9
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- Economic theories and models 6
- Co-authors
- Morris W. HirschJosef HofbauerJean‐Yves Le BoudecJörgen W. WeibullSylvain SorinSebastian J. SchreiberStéphane Le BorgneFlorent Malrieu
- Partner nations
- FranceSwitzerlandUnited States
In The Last Decade
Michel Benaı̈m
62 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 91
- Management Science and Operations Research 553
- Mathematical Physics 323
- Statistics and Probability 197
- Statistical and Nonlinear Physics 276
- Modeling and Simulation 91
Countries citing papers authored by Michel Benaı̈m
This map shows the geographic impact of Michel Benaı̈m'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 Michel Benaı̈m with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michel Benaı̈m more than expected).
Fields of papers citing papers by Michel Benaı̈m
This network shows the impact of papers produced by Michel Benaı̈m. 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 Michel Benaı̈m. The network helps show where Michel Benaı̈m may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michel Benaı̈m, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 6 | |
| 6 | 2022 | 11 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 2 | |
| 9 | Stochastic approximation of quasi-stationary distributions for diffusion processes in a bounded domain | 2019 | 2 |
| 10 | 2018 | 8 | |
| 11 | Smale strategies for network prisoner's dilemma games | 2015 | 4 |
| 12 | 2015 | 64 | |
| 13 | 2009 | 55 | |
| 14 | 2008 | 23 | |
| 15 | Stochastic Approximations and Differential Inclusions II: Applications | 2005 | 4 |
| 16 | 2002 | 3 | |
| 17 | 1998 | 46 | |
| 18 | 1997 | 12 | |
| 19 | 1995 | 0 | |
| 20 | 1993 | 1 |
About Michel Benaı̈m
Michel Benaı̈m is a scholar working on Mathematical Physics, Finance and Statistics and Probability, having authored 66 papers that have together received 1.7k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (20 papers), Stochastic processes and financial applications (17 papers), Mathematical Dynamics and Fractals (15 papers), Game Theory and Applications (11 papers), Markov Chains and Monte Carlo Methods (10 papers), Neural Networks and Applications (9 papers), Quantum chaos and dynamical systems (6 papers) and Economic theories and models (6 papers). The work is most often cited by research in Management Science and Operations Research (553 citations), Mathematical Physics (323 citations) and Statistics and Probability (197 citations). Michel Benaı̈m has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Morris W. Hirsch, Josef Hofbauer, Jean‐Yves Le Boudec, Jörgen W. Weibull, Sylvain Sorin, Sebastian J. Schreiber, Stéphane Le Borgne, Florent Malrieu, Pierre-André Zitt and Olivier Raimond.
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.