Francis Comets
- Mathematical Physics top 1%
- Statistics and Probability top 1%
- Condensed Matter Physics top 5%
- Statistical and Nonlinear Physics top 10%
- Artificial Intelligence
- Co-authors
- Nobuo YoshidaOfer ZeitouniSerguei PopovTokuzo ShigaNina GantertJ. NeveuBasilis GidasMikhail Menshikov
- Topics
- Stochastic processes and statistical mechanics (37 papers)Theoretical and Computational Physics (20 papers)Markov Chains and Monte Carlo Methods (18 papers)
- Partner nations
- FranceJapanUnited States
In The Last Decade
Francis Comets
46 papers receiving 698 citations
Peers
Comparison fields: 5 of 63
- Mathematical Physics 580
- Statistics and Probability 438
- Condensed Matter Physics 344
- Statistical and Nonlinear Physics 79
- Artificial Intelligence 72
Countries citing papers authored by Francis Comets
This map shows the geographic impact of Francis Comets'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 Francis Comets with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francis Comets more than expected).
Fields of papers citing papers by Francis Comets
This network shows the impact of papers produced by Francis Comets. 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 Francis Comets. The network helps show where Francis Comets may publish in the future.
Co-authorship network of co-authors of Francis Comets
This figure shows the co-authorship network connecting the top 25 collaborators of Francis Comets. A scholar is included among the top collaborators of Francis Comets 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 Francis Comets. Francis Comets 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 | Gaussian fluctuation and rate of convergence of the Kardar-Parisi-Zhang equation in weak disorder in $d\geq 3$ | 1 |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 9 | |
| 6 | 53 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 7 | |
| 10 | 13 | |
| 11 | 10 | |
| 12 | 10 | |
| 13 | 17 | |
| 14 | 1 | |
| 15 | Some new results on Brownian Directed Polymers in Random Environment | 6 |
| 16 | 74 | |
| 17 | 12 | |
| 18 | 12 | |
| 19 | Nucleation for a long range magnetic model | 30 |
| 20 | 11 |
About Francis Comets
Francis Comets is a scholar working on Mathematical Physics, Statistics and Probability and Condensed Matter Physics, having authored 51 papers that have together received 749 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (37 papers), Theoretical and Computational Physics (20 papers) and Markov Chains and Monte Carlo Methods (18 papers). The work is most often cited by research in Mathematical Physics (580 citations), Statistics and Probability (438 citations) and Condensed Matter Physics (344 citations). Francis Comets has collaborated with scholars based in France, Japan and United States. Frequent co-authors include Nobuo Yoshida, Ofer Zeitouni, Serguei Popov, Tokuzo Shiga, Nina Gantert, J. Neveu, Basilis Gidas, Mikhail Menshikov, Jeremy Quastel and M. Cranston. Their work appears in journals such as The Annals of Statistics, Communications in Mathematical Physics and Lecture notes in 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.