Jean Diebolt

37 papers and 1.4k indexed citations i.

About

Jean Diebolt is a scholar working on Statistics and Probability, Finance and Artificial Intelligence. According to data from OpenAlex, Jean Diebolt has authored 37 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Statistics and Probability, 18 papers in Finance and 12 papers in Artificial Intelligence. Recurrent topics in Jean Diebolt’s work include Statistical Methods and Inference (17 papers), Financial Risk and Volatility Modeling (17 papers) and Bayesian Methods and Mixture Models (11 papers). Jean Diebolt is often cited by papers focused on Statistical Methods and Inference (17 papers), Financial Risk and Volatility Modeling (17 papers) and Bayesian Methods and Mixture Models (11 papers). Jean Diebolt collaborates with scholars based in France, Tunisia and Switzerland. Jean Diebolt's co-authors include Christian P. Robert, Gilles Celeux, Armelle Guillou, Didier Chauveau, Dominique Guégan, Philippe Naveau, Daniel Cooley, Stéphane Girard, Olivier Fouché and Christophe Pouzat and has published in prestigious journals such as Journal of Neurophysiology, Biometrika and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Co-authorship network of co-authors of Jean Diebolt i

Fields of papers citing papers by Jean Diebolt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean Diebolt. 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 Diebolt. The network helps show where Jean Diebolt may publish in the future.

Countries citing papers authored by Jean Diebolt

Since Specialization
Citations

This map shows the geographic impact of Jean Diebolt'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 Diebolt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean Diebolt more than expected).

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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