Bernard Garel
- Statistics and Probability top 5%
- Artificial Intelligence top 10%
- Finance top 10%
- Global and Planetary Change
- Economics and Econometrics
- Co-authors
- Marc HallinMounir GhoghoJulien BoucharelBoris DewitteLanh Tat TranMichel CarbonDankmar BöhningAnanthram Swami
- Topics
- Advanced Statistical Methods and Models (7 papers)Statistical Methods and Inference (7 papers)Bayesian Methods and Mixture Models (6 papers)
- Journals
- Journal of the American Statistical AssociationIEEE Transactions on Signal ProcessingClimate Dynamics
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Bernard Garel
22 papers receiving 261 citations
Peers
Comparison fields: 5 of 56
- Statistics and Probability 127
- Artificial Intelligence 96
- Finance 53
- Global and Planetary Change 41
- Economics and Econometrics 33
Countries citing papers authored by Bernard Garel
This map shows the geographic impact of Bernard Garel'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 Bernard Garel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernard Garel more than expected).
Fields of papers citing papers by Bernard Garel
This network shows the impact of papers produced by Bernard Garel. 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 Bernard Garel. The network helps show where Bernard Garel may publish in the future.
Co-authorship network of co-authors of Bernard Garel
This figure shows the co-authorship network connecting the top 25 collaborators of Bernard Garel. A scholar is included among the top collaborators of Bernard Garel 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 Bernard Garel. Bernard Garel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 21 | |
| 3 | 21 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 38 | |
| 7 | 16 | |
| 8 | On a New Measure of Covariation for Stable Random Variables | 2 |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 22 | |
| 12 | 4 | |
| 13 | 15 | |
| 14 | 11 | |
| 15 | 0 | |
| 16 | 23 | |
| 17 | 3 | |
| 18 | 36 | |
| 19 | Performances d'un test d'homogénéité contre une hypothèse de mélange gaussien | 1 |
| 20 | 2 |
About Bernard Garel
Bernard Garel is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Finance, having authored 23 papers that have together received 270 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (7 papers), Statistical Methods and Inference (7 papers) and Bayesian Methods and Mixture Models (6 papers). The work is most often cited by research in Statistics and Probability (127 citations), Finance (53 citations) and Artificial Intelligence (96 citations). Bernard Garel has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Marc Hallin, Mounir Ghogho, Julien Boucharel, Boris Dewitte, Lanh Tat Tran, Michel Carbon, Dankmar Böhning, Ananthram Swami, Yves du Penhoat and Sang‐Wook Yeh. Their work appears in journals such as Journal of the American Statistical Association, IEEE Transactions on Signal Processing and Climate Dynamics.
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.