Jean Diebolt
- Statistics and Probability top 0.5%
- Artificial Intelligence top 2%
- Finance top 2%
- Economics and Econometrics top 10%
- Global and Planetary Change top 10%
- Co-authors
- Christian P. RobertGilles CeleuxArmelle GuillouEdward H. IpDidier ChauveauPhilippe NaveauStéphane GirardDaniel Cooley
- Topics
- Statistical Methods and Inference (20 papers)Financial Risk and Volatility Modeling (18 papers)Bayesian Methods and Mixture Models (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of NeurophysiologyBiometrika
- Partner nations
- FranceSwitzerlandTunisia
In The Last Decade
Jean Diebolt
45 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Statistics and Probability 777
- Artificial Intelligence 695
- Finance 287
- Economics and Econometrics 136
- Global and Planetary Change 129
Countries citing papers authored by Jean Diebolt
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).
Fields of papers citing papers by Jean Diebolt
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.
Co-authorship network of co-authors of Jean Diebolt
This figure shows the co-authorship network connecting the top 25 collaborators of Jean Diebolt. A scholar is included among the top collaborators of Jean Diebolt 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 Diebolt. Jean Diebolt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 54 | |
| 4 | 26 | |
| 5 | 11 | |
| 6 | Le logiciel extrêmes, un outil pour l'étude des queues de distribution | 1 |
| 7 | 5 | |
| 8 | 4 | |
| 9 | 7 | |
| 10 | 3 | |
| 11 | On the Convergence of the ET Method for Extreme Upper Quantile Estimation | 1 |
| 12 | 10 | |
| 13 | 115 | |
| 14 | 9 | |
| 15 | Stochastic EM: method and application | 82 |
| 16 | Estimation of Finite Mixture Distributions Through Bayesian Samplingbreakdown → | 620 |
| 17 | 13 | |
| 18 | Une version de type recuit simule de l'algorithme EM | 11 |
| 19 | The EM and the SEM algorithms for mixtures : statistical and numerical aspects | 12 |
| 20 | L'algorithme SEM: un algorithme d'apprentissage probabiliste: pour la reconnaissance de mélange de densités | 34 |
About Jean Diebolt
Jean Diebolt is a scholar working on Statistics and Probability, Finance and Statistics, Probability and Uncertainty, having authored 47 papers that have together received 1.6k indexed citations. Recurring topics across this work include Statistical Methods and Inference (20 papers), Financial Risk and Volatility Modeling (18 papers) and Bayesian Methods and Mixture Models (14 papers). The work is most often cited by research in Statistics and Probability (777 citations), Finance (287 citations) and Artificial Intelligence (695 citations). Jean Diebolt has collaborated with scholars based in France, Switzerland and Tunisia. Frequent co-authors include Christian P. Robert, Gilles Celeux, Armelle Guillou, Edward H. Ip, Didier Chauveau, Philippe Naveau, Stéphane Girard, Daniel Cooley, Dominique Guégan and Pascal Viot. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Neurophysiology and Biometrika.
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.