Raphaël Cerf
Impact in
- Mathematical Physics top 2%
- Stochastic processes and statistical mechanics
- Mathematical Dynamics and Fractals
- Statistics and Probability top 1%
- Markov Chains and Monte Carlo Methods
Papers in
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- Stochastic processes and statistical mechanics 29
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- Markov Chains and Monte Carlo Methods 19
- Co-authors
- Francesco Manzo (3 shared papers)Emilio Nicola Maria CIRILLO (1 shared paper)Ágoston Pisztora (1 shared paper)Gérard Ben Arous (1 shared paper)Olivier Catoni (1 shared paper)Bernard Michels (7 shared papers)Laurent Alonso (1 shared paper)H. Schwander (1 shared paper)
In The Last Decade
Raphaël Cerf
84 papers receiving 925 citations
Peers
Comparison fields: 5 of 99
- Mathematical Physics 432
- Statistics and Probability 315
- Condensed Matter Physics 309
- Statistical and Nonlinear Physics 154
- Fluid Flow and Transfer Processes 58
Countries citing papers authored by Raphaël Cerf
This map shows the geographic impact of Raphaël Cerf'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 Raphaël Cerf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaël Cerf more than expected).
Fields of papers citing papers by Raphaël Cerf
This network shows the impact of papers produced by Raphaël Cerf. 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 Raphaël Cerf. The network helps show where Raphaël Cerf may publish in the future.
Co-authors
The 25 scholars most cited alongside Raphaël Cerf, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 76 | |
| 2 | 2002 | 70 | |
| 3 | 2000 | 59 | |
| 4 | 1998 | 55 | |
| 5 | 1996 | 48 | |
| 6 | 1997 | 45 | |
| 7 | 1996 | 44 | |
| 8 | 1951 | 40 | |
| 9 | La dynamique des algorithmes de mutation-sélection avec de grandes tailles de population | 1996 | 31 |
| 10 | 2013 | 23 | |
| 11 | 2001 | 21 | |
| 12 | 1996 | 19 | |
| 13 | 1979 | 18 | |
| 14 | Une théorie asymptotique des algorithmes génétiques | 1994 | 17 |
| 15 | An Asymptotic Theory of Genetic Algorithms | 1995 | 16 |
| 16 | 1989 | 16 | |
| 17 | 1971 | 16 | |
| 18 | 1999 | 15 | |
| 19 | 2015 | 15 | |
| 20 | 1983 | 15 |
About Raphaël Cerf
Raphaël Cerf is a scholar working on Mathematical Physics, Statistics and Probability, Condensed Matter Physics, Statistical and Nonlinear Physics and Cognitive Neuroscience, having authored 89 papers that have together received 1.0k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (29 papers), Theoretical and Computational Physics (19 papers), Markov Chains and Monte Carlo Methods (19 papers), Neural dynamics and brain function (11 papers), Metaheuristic Optimization Algorithms Research (9 papers), Chaos control and synchronization (8 papers), Evolutionary Algorithms and Applications (7 papers) and Material Dynamics and Properties (7 papers). The work is most often cited by research in Mathematical Physics (432 citations), Statistics and Probability (315 citations), Condensed Matter Physics (309 citations), Statistical and Nonlinear Physics (154 citations) and Fluid Flow and Transfer Processes (58 citations). Raphaël Cerf has collaborated with scholars based in France, Italy and China. Frequent co-authors include Francesco Manzo, Emilio Nicola Maria CIRILLO, Ágoston Pisztora, Gérard Ben Arous, Olivier Catoni, Bernard Michels, Laurent Alonso, H. Schwander, Carlo Mariconda and Jean‐François Witz. Their work appears in journals such as The Annals of Probability, Biological Cybernetics, Chemical Physics Letters, Probability Theory and Related Fields and Proceedings of the National Academy of Sciences.
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.