Jean‐François Bercher

8.1k total citations
64 papers, 860 citations indexed

About

Jean‐François Bercher is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Jean‐François Bercher has authored 64 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Statistical and Nonlinear Physics, 19 papers in Artificial Intelligence and 11 papers in Economics and Econometrics. Recurrent topics in Jean‐François Bercher's work include Statistical Mechanics and Entropy (19 papers), Complex Systems and Time Series Analysis (10 papers) and Bayesian Methods and Mixture Models (6 papers). Jean‐François Bercher is often cited by papers focused on Statistical Mechanics and Entropy (19 papers), Complex Systems and Time Series Analysis (10 papers) and Bayesian Methods and Mixture Models (6 papers). Jean‐François Bercher collaborates with scholars based in France, United States and Russia. Jean‐François Bercher's co-authors include Christophe Vignat, Ali Mohammad‐Djafari, Pierre Bessìère, Bénédicte Duriez, Serge Amselem, Estelle Escudier, I Rayet, Philippe Duquesnoy, Anne-Marie Vojtek and Denise Escalier and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and IEEE Transactions on Information Theory.

In The Last Decade

Jean‐François Bercher

56 papers receiving 827 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jean‐François Bercher France 16 275 173 147 125 124 64 860
René L. Schilling Germany 23 168 0.6× 65 0.4× 258 1.8× 141 1.1× 67 0.5× 106 2.2k
C. Stein United States 11 49 0.2× 242 1.4× 471 3.2× 71 0.6× 124 1.0× 12 1.4k
Dejan Slepčev United States 19 116 0.4× 159 0.9× 108 0.7× 16 0.1× 77 0.6× 43 1.3k
Markus Hegland Australia 17 55 0.2× 108 0.6× 35 0.2× 11 0.1× 125 1.0× 103 991
Henryk Gzyl Venezuela 13 344 1.3× 97 0.6× 109 0.7× 87 0.7× 80 0.6× 132 910
Henri Schurz United States 16 171 0.6× 46 0.3× 59 0.4× 81 0.6× 64 0.5× 52 1.1k
Matan Gavish Israel 13 139 0.5× 186 1.1× 65 0.4× 7 0.1× 67 0.5× 30 847
Omiros Papaspiliopoulos United Kingdom 20 92 0.3× 929 5.4× 794 5.4× 118 0.9× 104 0.8× 40 1.8k
Keith Briggs United Kingdom 14 336 1.2× 87 0.5× 14 0.1× 119 1.0× 30 0.2× 52 860
Debashis Paul United States 15 26 0.1× 377 2.2× 734 5.0× 89 0.7× 280 2.3× 42 1.7k

Countries citing papers authored by Jean‐François Bercher

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Chierchia, Giovanni, et al.. (2024). Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(13). 14350–14358.
2.
Bercher, Jean‐François. (2012). On generalized Cramér-Rao inequalities, generalized Fisher information and characterizations of generalized q-Gaussian distributions. 21 indexed citations
3.
Mohammad‐Djafari, Ali, Jean‐François Bercher, & Pierre Bessìère. (2011). 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. AIPC. 1305. 1 indexed citations
4.
Caticha, Ariel, Ali Mohammad‐Djafari, Jean‐François Bercher, & Pierre Bessìère. (2011). Entropic Inference. AIP conference proceedings. 20–29. 16 indexed citations
5.
Krylov, Vladimir A., Gabriele Moser, Sebastiano B. Serpico, et al.. (2011). Multichannel SAR Image Classification by Finite Mixtures, Copula Theory and Markov Random Fields. AIP conference proceedings. 319–326. 1 indexed citations
6.
Caticha, Ariel, et al.. (2011). Non-relativistic Gravity in Entropic Quantum Dynamics. AIP conference proceedings. 122–129. 2 indexed citations
7.
Zare, Alina, Paul Gader, Ali Mohammad‐Djafari, Jean‐François Bercher, & Pierre Bessìère. (2011). An Investigation of Likelihoods and Priors for Bayesian Endmember Estimation. AIP conference proceedings. 311–318. 6 indexed citations
8.
Fournel, Thierry, et al.. (2011). ID Image Characterization by Entropic Biometric Decomposition. AIP conference proceedings. 381–388. 1 indexed citations
9.
Knuth, Kevin H., Ali Mohammad‐Djafari, Jean‐François Bercher, & Pierre Bessìère. (2011). Bayesian Visual Odometry. AIP conference proceedings. 75–82. 4 indexed citations
10.
Mohammad‐Djafari, Ali, et al.. (2011). Using a MaxEnt Classifier for the Automatic Content Scoring of Free-Text Responses. AIP conference proceedings. 41–48. 12 indexed citations
11.
Earle, Keith, et al.. (2011). Parameter Estimation as a Problem in Statistical Thermodynamics. AIP conference proceedings. 1305(1). 357–364.
12.
Mohammad‐Djafari, Ali, et al.. (2011). Generalized Maximum Entropy Principle, Superstatistics and Problem of Networks Classification. AIP conference proceedings. 407–414.
13.
Gelder, Pieter van, et al.. (2011). DERIVING PROPER UNIFORM PRIORS FOR REGRESSION COEFFICIENTS. AIP conference proceedings. 101–103. 1 indexed citations
14.
Mohammad‐Djafari, Ali, et al.. (2011). Comparative analysis of collaboration networks. AIP conference proceedings. 415–422. 2 indexed citations
15.
Krasnikov, Nikolai, et al.. (2011). Confidence distributions in statistical inference. AIP conference proceedings. 346–353. 6 indexed citations
16.
Mohammad‐Djafari, Ali, Jean‐François Bercher, & Pierre Bessìère. (2010). 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. American Institute of Physics eBooks. 2 indexed citations
17.
Bercher, Jean‐François & Christophe Vignat. (2009). On minimum Fisher information distributions with restricted support and fixed variance. Information Sciences. 179(22). 3832–3842. 36 indexed citations
18.
Bercher, Jean‐François, et al.. (2008). Envelope and phase delays correction in an EER radio architecture. Analog Integrated Circuits and Signal Processing. 55(1). 21–35. 3 indexed citations
19.
Bercher, Jean‐François. (2008). Tsallis distribution as a standard maximum entropy solution with ‘tail’ constraint. Physics Letters A. 372(35). 5657–5659. 20 indexed citations
20.
Duriez, Bénédicte, Philippe Duquesnoy, Estelle Escudier, et al.. (2007). A common variant in combination with a nonsense mutation in a member of the thioredoxin family causes primary ciliary dyskinesia. Proceedings of the National Academy of Sciences. 104(9). 3336–3341. 128 indexed citations

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.

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