Djalil Chafaï
- Statistics and Probability top 2%
- Mathematical Physics top 5%
- Applied Mathematics top 5%
- Atmospheric Science top 10%
- Global and Planetary Change top 10%
- Co-authors
- Florence RabierNadia FourriéPascal PrunetNathaël GozlanPierre-André ZittDidier ConcordetMichel BonnefontCharles Bordenave
- Topics
- Random Matrices and Applications (22 papers)Stochastic processes and statistical mechanics (12 papers)Markov Chains and Monte Carlo Methods (10 papers)
- Journals
- Journal of the American Statistical AssociationQuarterly Journal of the Royal Meteorological SocietyJournal of Mathematical Analysis and Applications
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Djalil Chafaï
39 papers receiving 566 citations
Peers
Comparison fields: 5 of 59
- Statistics and Probability 244
- Mathematical Physics 213
- Applied Mathematics 180
- Atmospheric Science 124
- Global and Planetary Change 117
Countries citing papers authored by Djalil Chafaï
This map shows the geographic impact of Djalil Chafaï'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 Djalil Chafaï with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Djalil Chafaï more than expected).
Fields of papers citing papers by Djalil Chafaï
This network shows the impact of papers produced by Djalil Chafaï. 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 Djalil Chafaï. The network helps show where Djalil Chafaï may publish in the future.
Co-authorship network of co-authors of Djalil Chafaï
This figure shows the co-authorship network connecting the top 25 collaborators of Djalil Chafaï. A scholar is included among the top collaborators of Djalil Chafaï 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 Djalil Chafaï. Djalil Chafaï is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 25 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | First order global asymptotics for Calogero-Sutherland gases | 1 |
| 10 | 15 | |
| 11 | Interactions between compressed sensing random matrices and high dimensional geometry | 1 |
| 12 | 19 | |
| 13 | 32 | |
| 14 | 2 | |
| 15 | 7 | |
| 16 | 18 | |
| 17 | Spectrum of large random reversible Markov chains | 1 |
| 18 | 52 | |
| 19 | 82 | |
| 20 | 1 |
About Djalil Chafaï
Djalil Chafaï is a scholar working on Statistics and Probability, Mathematical Physics and Discrete Mathematics and Combinatorics, having authored 40 papers that have together received 606 indexed citations. Recurring topics across this work include Random Matrices and Applications (22 papers), Stochastic processes and statistical mechanics (12 papers) and Markov Chains and Monte Carlo Methods (10 papers). The work is most often cited by research in Statistics and Probability (244 citations), Mathematical Physics (213 citations) and Applied Mathematics (180 citations). Djalil Chafaï has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Florence Rabier, Nadia Fourrié, Pascal Prunet, Nathaël Gozlan, Pierre-André Zitt, Didier Concordet, Michel Bonnefont, Charles Bordenave, Fabrice Baudoin and Dominique Bakry. Their work appears in journals such as Journal of the American Statistical Association, Quarterly Journal of the Royal Meteorological Society and Journal of Mathematical Analysis and Applications.
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.