Raphaël Cerf
Impact in
- Mathematical Physics top 2%
- Stochastic processes and statistical mechanics
- Mathematical Dynamics and Fractals
- Statistics and Probability top 2%
- Markov Chains and Monte Carlo Methods
Papers in
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- Stochastic processes and statistical mechanics 26
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- Markov Chains and Monte Carlo Methods 19
- Co-authors
- Francesco Manzo (3 shared papers)Emilio N. M. Cirillo (1 shared paper)Ágoston Pisztora (1 shared paper)Gérard Ben Arous (1 shared paper)Laurent Alonso (1 shared paper)B. Michels (7 shared papers)Olivier Catoni (1 shared paper)H. Schwander (1 shared paper)
In The Last Decade
Raphaël Cerf
72 papers receiving 716 citations
Peers
Comparison fields: 5 of 89
- Mathematical Physics 341
- Statistics and Probability 254
- Condensed Matter Physics 245
- Statistical and Nonlinear Physics 108
- Fluid Flow and Transfer Processes 52
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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 61 | |
| 2 | 2002 | 57 | |
| 3 | 2000 | 44 | |
| 4 | 1996 | 41 | |
| 5 | 1996 | 40 | |
| 6 | 1998 | 39 | |
| 7 | 1997 | 37 | |
| 8 | 1951 | 34 | |
| 9 | 2013 | 18 | |
| 10 | 1979 | 17 | |
| 11 | 1996 | 17 | |
| 12 | 1989 | 15 | |
| 13 | 2001 | 15 | |
| 14 | 1983 | 14 | |
| 15 | 1971 | 13 | |
| 16 | 1992 | 12 | |
| 17 | 1974 | 12 | |
| 18 | 1977 | 12 | |
| 19 | 1992 | 11 | |
| 20 | 2016 | 11 |
About Raphaël Cerf
Raphaël Cerf is a scholar working on Mathematical Physics, Statistics and Probability, Condensed Matter Physics, Molecular Biology and Statistical and Nonlinear Physics, having authored 76 papers that have together received 766 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (26 papers), Markov Chains and Monte Carlo Methods (19 papers), Theoretical and Computational Physics (18 papers), Neural dynamics and brain function (9 papers), Chaos control and synchronization (8 papers), Material Dynamics and Properties (7 papers), Rheology and Fluid Dynamics Studies (6 papers) and Nonlinear Dynamics and Pattern Formation (5 papers). The work is most often cited by research in Mathematical Physics (341 citations), Statistics and Probability (254 citations), Condensed Matter Physics (245 citations), Statistical and Nonlinear Physics (108 citations) and Fluid Flow and Transfer Processes (52 citations). Raphaël Cerf has collaborated with scholars based in France, Italy and Burundi. Frequent co-authors include Francesco Manzo, Emilio N. M. Cirillo, Ágoston Pisztora, Gérard Ben Arous, Laurent Alonso, B. Michels, Olivier Catoni, 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.