Michel Benaı̈m
- Management Science and Operations Research top 1%
- Mathematical Physics top 2%
- Statistical and Nonlinear Physics top 2%
- Computer Networks and Communications top 5%
- Sociology and Political Science top 5%
- Co-authors
- Morris W. HirschJosef HofbauerJean‐Yves Le BoudecJörgen W. WeibullSylvain SorinSebastian J. SchreiberStéphane Le BorgneFlorent Malrieu
- Topics
- Stochastic processes and statistical mechanics (20 papers)Stochastic processes and financial applications (17 papers)Mathematical Dynamics and Fractals (15 papers)
- 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
- Statistical and Nonlinear Physics 276
- Computer Networks and Communications 262
- Sociology and Political Science 258
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 of co-authors of Michel Benaı̈m
This figure shows the co-authorship network connecting the top 25 collaborators of Michel Benaı̈m. A scholar is included among the top collaborators of Michel Benaı̈m 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 Michel Benaı̈m. Michel Benaı̈m is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | 11 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | Stochastic approximation of quasi-stationary distributions for diffusion processes in a bounded domain | 2 |
| 10 | 8 | |
| 11 | Smale strategies for network prisoner's dilemma games | 4 |
| 12 | 64 | |
| 13 | 55 | |
| 14 | 23 | |
| 15 | Stochastic Approximations and Differential Inclusions II: Applications | 4 |
| 16 | 3 | |
| 17 | 46 | |
| 18 | 12 | |
| 19 | 0 | |
| 20 | 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) and Mathematical Dynamics and Fractals (15 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. Their work appears in journals such as American Economic Review, Econometrica and Neural Computation.
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.