Alain Berlinet
- Artificial Intelligence top 5%
- Statistics and Probability top 1%
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Computational Mechanics top 10%
- Co-authors
- Christine Thomas‐AgnanAli GannounIgor VajdaChristian FrancqLászló GyörfiEdward C. van der MeulenÉric Matzner-LøberLuc Devroye
- Topics
- Statistical Methods and Inference (21 papers)Bayesian Methods and Mixture Models (10 papers)Advanced Statistical Methods and Models (9 papers)
In The Last Decade
Alain Berlinet
36 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Artificial Intelligence 395
- Statistics and Probability 374
- Control and Systems Engineering 142
- Computer Vision and Pattern Recognition 134
- Computational Mechanics 123
Countries citing papers authored by Alain Berlinet
This map shows the geographic impact of Alain Berlinet'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 Alain Berlinet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alain Berlinet more than expected).
Fields of papers citing papers by Alain Berlinet
This network shows the impact of papers produced by Alain Berlinet. 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 Alain Berlinet. The network helps show where Alain Berlinet may publish in the future.
Co-authorship network of co-authors of Alain Berlinet
This figure shows the co-authorship network connecting the top 25 collaborators of Alain Berlinet. A scholar is included among the top collaborators of Alain Berlinet 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 Alain Berlinet. Alain Berlinet 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 | 1 | |
| 3 | 13 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 12 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 21 | |
| 16 | 12 | |
| 17 | 19 | |
| 18 | Stationnarité et identification d'un processus bilinéaire strictement superdiagonal | 5 |
| 19 | An optimality theorem and its application to estimation | 2 |
| 20 | 6 |
About Alain Berlinet
Alain Berlinet is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Statistical and Nonlinear Physics, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Statistical Methods and Inference (21 papers), Bayesian Methods and Mixture Models (10 papers) and Advanced Statistical Methods and Models (9 papers). The work is most often cited by research in Statistics and Probability (374 citations), Numerical Analysis (91 citations) and Statistics, Probability and Uncertainty (109 citations). Alain Berlinet has collaborated with scholars based in France, Czechia and Belgium. Frequent co-authors include Christine Thomas‐Agnan, Ali Gannoun, Igor Vajda, Christian Francq, László Györfi, Edward C. van der Meulen, Éric Matzner-Løber, Luc Devroye, Jan Beirlant and Gérard Biau. Their work appears in journals such as IEEE Transactions on Information Theory, Numerische Mathematik and Computational Statistics & Data Analysis.
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.