Lucien Birgé
- Statistics and Probability top 0.2%
- Artificial Intelligence top 2%
- Control and Systems Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics top 5%
- Co-authors
- Pascal MassartAndrew R. BarronYves RozenholcYannick BaraudDominique PicardOleg LepskiEnno MammenAlexandre B. Tsybakov
- Topics
- Statistical Methods and Inference (19 papers)Bayesian Methods and Mixture Models (5 papers)Control Systems and Identification (5 papers)
- Journals
- IEEE Transactions on Information TheoryThe Annals of StatisticsProbability Theory and Related Fields
- Partner nations
- FranceUnited StatesAustralia
In The Last Decade
Lucien Birgé
28 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 109
- Statistics and Probability 1.1k
- Artificial Intelligence 672
- Control and Systems Engineering 243
- Computer Vision and Pattern Recognition 187
- Computational Mechanics 185
Countries citing papers authored by Lucien Birgé
This map shows the geographic impact of Lucien Birgé'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 Lucien Birgé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucien Birgé more than expected).
Fields of papers citing papers by Lucien Birgé
This network shows the impact of papers produced by Lucien Birgé. 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 Lucien Birgé. The network helps show where Lucien Birgé may publish in the future.
Co-authorship network of co-authors of Lucien Birgé
This figure shows the co-authorship network connecting the top 25 collaborators of Lucien Birgé. A scholar is included among the top collaborators of Lucien Birgé 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 Lucien Birgé. Lucien Birgé is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 7 | |
| 3 | 8 | |
| 4 | 8 | |
| 5 | The Brouwer Conference 2005: Statistical estimation with model selection | 1 |
| 6 | 76 | |
| 7 | 21 | |
| 8 | 4 | |
| 9 | 234 | |
| 10 | 36 | |
| 11 | 354 | |
| 12 | 38 | |
| 13 | 92 | |
| 14 | 130 | |
| 15 | 42 | |
| 16 | 57 | |
| 17 | 31 | |
| 18 | 63 | |
| 19 | Stabilité et instabilité du risque minimax pour des variables indépendantes équidistribuées | 9 |
| 20 | Tests robustes pour des variables indépendantes et des chaînes de Markov | 1 |
About Lucien Birgé
Lucien Birgé is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Applied Mathematics, having authored 28 papers that have together received 1.7k indexed citations. Recurring topics across this work include Statistical Methods and Inference (19 papers), Bayesian Methods and Mixture Models (5 papers) and Control Systems and Identification (5 papers). The work is most often cited by research in Statistics and Probability (1.1k citations), Artificial Intelligence (672 citations) and Statistics, Probability and Uncertainty (145 citations). Lucien Birgé has collaborated with scholars based in France, United States and Australia. Frequent co-authors include Pascal Massart, Andrew R. Barron, Yves Rozenholc, Yannick Baraud, Dominique Picard, Oleg Lepski, Enno Mammen, Alexandre B. Tsybakov, Gérard Kerkyacharian and D. Picard. Their work appears in journals such as IEEE Transactions on Information Theory, The Annals of Statistics and Probability Theory and Related Fields.
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.