Gérard Biau
- Artificial Intelligence top 5%
- Statistics and Probability top 1%
- Computer Vision and Pattern Recognition top 10%
- Global and Planetary Change
- Control and Systems Engineering
- Co-authors
- Luc DevroyeBenoı̂t CadreMarten WegkampFlorentina BuneaArnaud GuyaderFrédéric CérouChristophe AbrahamGábor Lugosi
- Topics
- Statistical Methods and Inference (21 papers)Bayesian Methods and Mixture Models (12 papers)Advanced Statistical Methods and Models (6 papers)
- Partner nations
- FranceCanadaUnited States
In The Last Decade
Gérard Biau
30 papers receiving 722 citations
Peers
Comparison fields: 5 of 123
- Artificial Intelligence 310
- Statistics and Probability 272
- Computer Vision and Pattern Recognition 116
- Global and Planetary Change 69
- Control and Systems Engineering 61
Countries citing papers authored by Gérard Biau
This map shows the geographic impact of Gérard Biau'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 Biau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gérard Biau more than expected).
Fields of papers citing papers by Gérard Biau
This network shows the impact of papers produced by Gérard Biau. 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 Biau. The network helps show where Gérard Biau may publish in the future.
Co-authorship network of co-authors of Gérard Biau
This figure shows the co-authorship network connecting the top 25 collaborators of Gérard Biau. A scholar is included among the top collaborators of Gérard Biau 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 Biau. Gérard Biau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 91 | |
| 3 | 11 | |
| 4 | 2 | |
| 5 | 65 | |
| 6 | On the shrinkage estimation of variance | 1 |
| 7 | 23 | |
| 8 | 4 | |
| 9 | 65 | |
| 10 | 10 | |
| 11 | 22 | |
| 12 | 61 | |
| 13 | 3 | |
| 14 | 5 | |
| 15 | 12 | |
| 16 | 31 | |
| 17 | 7 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 72 |
About Gérard Biau
Gérard Biau is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Applied Mathematics, having authored 30 papers that have together received 756 indexed citations. Recurring topics across this work include Statistical Methods and Inference (21 papers), Bayesian Methods and Mixture Models (12 papers) and Advanced Statistical Methods and Models (6 papers). The work is most often cited by research in Statistics and Probability (272 citations), Artificial Intelligence (310 citations) and Computer Vision and Pattern Recognition (116 citations). Gérard Biau has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Luc Devroye, Benoı̂t Cadre, Marten Wegkamp, Florentina Bunea, Arnaud Guyader, Frédéric Cérou, Christophe Abraham, Gábor Lugosi, Hans von Storch and Hans Wackernagel. Their work appears in journals such as Journal of Climate, IEEE Transactions on Information Theory and Machine Learning.
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.