Gérard Letac
- Statistics and Probability top 1%
- Artificial Intelligence top 5%
- Applied Mathematics top 5%
- Mathematical Physics top 5%
- Finance top 5%
- Co-authors
- Hélène MassamJacek WesołowskiShaul K. Bar‐LevV. SeshadriDaoud BshoutyDonald RichardsPeter EnisMauro Piccioni
- Topics
- Bayesian Methods and Mixture Models (29 papers)Statistical Distribution Estimation and Applications (10 papers)Stochastic processes and statistical mechanics (10 papers)
- Journals
- Journal of the American Statistical AssociationJournal of the Royal Statistical Society Series B (Statistical Methodology)The Annals of Statistics
- Partner nations
- FranceCanadaUnited States
In The Last Decade
Gérard Letac
65 papers receiving 657 citations
Peers
Comparison fields: 5 of 70
- Statistics and Probability 413
- Artificial Intelligence 250
- Applied Mathematics 184
- Mathematical Physics 177
- Finance 106
Countries citing papers authored by Gérard Letac
This map shows the geographic impact of Gérard Letac'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 Gérard Letac with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gérard Letac more than expected).
Fields of papers citing papers by Gérard Letac
This network shows the impact of papers produced by Gérard Letac. 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 Gérard Letac. The network helps show where Gérard Letac may publish in the future.
Co-authorship network of co-authors of Gérard Letac
This figure shows the co-authorship network connecting the top 25 collaborators of Gérard Letac. A scholar is included among the top collaborators of Gérard Letac 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 Gérard Letac. Gérard Letac is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | The ratio of normalizing constants for Bayesian graphical Gaussian model selection | 2 |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 20 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 6 | |
| 12 | 10 | |
| 13 | 9 | |
| 14 | 54 | |
| 15 | 2 | |
| 16 | Chaînes de Markov sur les permutations | 4 |
| 17 | 22 | |
| 18 | 8 | |
| 19 | 13 | |
| 20 | Groupe de Stam d'une probabilité | 1 |
About Gérard Letac
Gérard Letac is a scholar working on Statistics and Probability, Mathematical Physics and Discrete Mathematics and Combinatorics, having authored 73 papers that have together received 732 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (29 papers), Statistical Distribution Estimation and Applications (10 papers) and Stochastic processes and statistical mechanics (10 papers). The work is most often cited by research in Statistics and Probability (413 citations), Mathematical Physics (177 citations) and Applied Mathematics (184 citations). Gérard Letac has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Hélène Massam, Jacek Wesołowski, Shaul K. Bar‐Lev, V. Seshadri, Daoud Bshouty, Donald Richards, Peter Enis, Mauro Piccioni, Piotr Graczyk and A. Ferrari. Their work appears in journals such as Journal of the American Statistical Association, Journal of the Royal Statistical Society Series B (Statistical Methodology) and The Annals of Statistics.
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.