Jean‐François Bercher

65 papers and 820 indexed citations i.

About

Jean‐François Bercher is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Jean‐François Bercher has authored 65 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Statistical and Nonlinear Physics, 20 papers in Artificial Intelligence and 14 papers in Statistics and Probability. Recurrent topics in Jean‐François Bercher’s work include Statistical Mechanics and Entropy (23 papers), Complex Systems and Time Series Analysis (10 papers) and Bayesian Methods and Mixture Models (7 papers). Jean‐François Bercher is often cited by papers focused on Statistical Mechanics and Entropy (23 papers), Complex Systems and Time Series Analysis (10 papers) and Bayesian Methods and Mixture Models (7 papers). Jean‐François Bercher collaborates with scholars based in France, United States and Russia. Jean‐François Bercher's co-authors include Pierre Bessìère, Ali Mohammad‐Djafari, Christophe Vignat, Kevin H. Knuth and Ariel Caticha 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

Fields of papers citing papers by Jean‐François Bercher

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Jean‐François Bercher. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jean‐François Bercher may publish in the future.

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).

Rankless by CCL
2025