Jean‐François Bercher
- Statistical and Nonlinear Physics top 2%
- Artificial Intelligence top 10%
- Statistics and Probability top 2%
- Economics and Econometrics top 10%
- Molecular Biology
- Co-authors
- Christophe VignatAli Mohammad‐DjafariPierre BessìèreBénédicte DuriezPhilippe DuquesnoyÉlisabeth MarcosEstelle EscudierAnne-Marie Vojtek
- Topics
- Statistical Mechanics and Entropy (19 papers)Complex Systems and Time Series Analysis (10 papers)Bayesian Methods and Mixture Models (6 papers)
- Cited by
- Statistical and Nonlinear PhysicsStatistics and ProbabilityStatistics, Probability and Uncertainty
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchIEEE Transactions on Information Theory
- Partner nations
- FranceUnited StatesRussia
In The Last Decade
Jean‐François Bercher
56 papers receiving 827 citations
Peers
Comparison fields: 5 of 107
- Statistical and Nonlinear Physics 275
- Artificial Intelligence 173
- Statistics and Probability 147
- Economics and Econometrics 125
- Molecular Biology 124
Countries citing papers authored by Jean‐François Bercher
This map shows the geographic impact of Jean‐François Bercher'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 Jean‐François Bercher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐François Bercher more than expected).
Fields of papers citing papers by Jean‐François Bercher
This network shows the impact of papers produced by Jean‐François Bercher. 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 Jean‐François Bercher. The network helps show where Jean‐François Bercher may publish in the future.
Co-authorship network of co-authors of Jean‐François Bercher
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐François Bercher. A scholar is included among the top collaborators of Jean‐François Bercher 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 Jean‐François Bercher. Jean‐François Bercher 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 | 3 | |
| 3 | On generalized Cramér-Rao inequalities, generalized Fisher information and characterizations of generalized q-Gaussian distributions | 21 |
| 4 | 16 | |
| 5 | 1 | |
| 6 | BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING: Proceedings of the 30th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering | 1 |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 12 | |
| 13 | 6 | |
| 14 | Bayesian inference and maximum entropy methods in science and engineering : proceedings of the 30th International Workshop on Bayesian Inference and Maximun Entropy Methods in Science and Engineering, 4-9 July 2010 ; Chamonix, France | 2 |
| 15 | 34 | |
| 16 | 36 | |
| 17 | 20 | |
| 18 | 3 | |
| 19 | 32 | |
| 20 | 128 |
About Jean‐François Bercher
Jean‐François Bercher is a scholar working on Statistical and Nonlinear Physics, Statistics and Probability and Artificial Intelligence, having authored 64 papers that have together received 860 indexed citations. Recurring topics across this work include Statistical Mechanics and Entropy (19 papers), Complex Systems and Time Series Analysis (10 papers) and Bayesian Methods and Mixture Models (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (275 citations), Statistics and Probability (147 citations) and Statistics, Probability and Uncertainty (53 citations). Jean‐François Bercher has collaborated with scholars based in France, United States and Russia. Frequent co-authors include Christophe Vignat, Ali Mohammad‐Djafari, Pierre Bessìère, Bénédicte Duriez, Philippe Duquesnoy, Élisabeth Marcos, Estelle Escudier, Anne-Marie Vojtek, Anne-Marie Bridoux and I Rayet. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and IEEE Transactions on Information Theory.
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.