Gérard Biau

2.7k total citations
30 papers, 756 citations indexed

About

Gérard Biau is a scholar working on Statistics and Probability, Artificial Intelligence and Applied Mathematics. According to data from OpenAlex, Gérard Biau has authored 30 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Statistics and Probability, 15 papers in Artificial Intelligence and 5 papers in Applied Mathematics. Recurrent topics in Gérard Biau's work include Statistical Methods and Inference (21 papers), Bayesian Methods and Mixture Models (12 papers) and Advanced Statistical Methods and Models (6 papers). Gérard Biau is often cited by papers focused on Statistical Methods and Inference (21 papers), Bayesian Methods and Mixture Models (12 papers) and Advanced Statistical Methods and Models (6 papers). Gérard Biau collaborates with scholars based in France, Canada and United States. Gérard Biau's co-authors include Luc Devroye, Benoı̂t Cadre, Marten Wegkamp, Florentina Bunea, Frédéric Cérou, Arnaud Guyader, Christophe Abraham, Gábor Lugosi, Hans Wackernagel and Eduardo Zorita and has published in prestigious journals such as Journal of Climate, IEEE Transactions on Information Theory and Machine Learning.

In The Last Decade

Gérard Biau

30 papers receiving 722 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gérard Biau France 15 310 272 116 69 61 30 756
Tomaz J. Kozubowski United States 2 278 0.9× 406 1.5× 69 0.6× 67 1.0× 37 0.6× 2 1.0k
A. J. Lawrance United Kingdom 20 182 0.6× 435 1.6× 131 1.1× 154 2.2× 75 1.2× 72 1.4k
Michiel Debruyne Belgium 11 163 0.5× 212 0.8× 70 0.6× 21 0.3× 93 1.5× 16 634
Lutz Dümbgen Switzerland 25 355 1.1× 875 3.2× 122 1.1× 25 0.4× 76 1.2× 63 1.5k
Jan Hannig United States 21 327 1.1× 939 3.5× 50 0.4× 85 1.2× 45 0.7× 90 1.6k
Laurie Davies Germany 10 147 0.5× 347 1.3× 58 0.5× 33 0.5× 87 1.4× 26 866
Fabrice Gamboa France 19 160 0.5× 247 0.9× 112 1.0× 34 0.5× 78 1.3× 79 1.3k
J. H. van Zanten Netherlands 14 355 1.1× 382 1.4× 30 0.3× 86 1.2× 51 0.8× 19 689
Sophie Lambert‐Lacroix France 14 223 0.7× 190 0.7× 101 0.9× 29 0.4× 53 0.9× 32 948
David W. Scott 3 192 0.6× 170 0.6× 71 0.6× 48 0.7× 52 0.9× 4 738

Countries citing papers authored by Gérard Biau

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Biau, Gérard, et al.. (2015). COBRA: A combined regression strategy. Journal of Multivariate Analysis. 146. 18–28. 11 indexed citations
2.
Biau, Gérard, et al.. (2015). Cox process functional learning. Statistical Inference for Stochastic Processes. 18(3). 257–277. 2 indexed citations
3.
Biau, Gérard, Frédéric Cérou, & Arnaud Guyader. (2015). New insights into Approximate Bayesian Computation. Annales de l Institut Henri Poincaré Probabilités et Statistiques. 51(1). 34 indexed citations
4.
Kruppa, Jochen, Gérard Biau, Michael Köhler, et al.. (2014). Probability estimation with machine learning methods for dichotomous and multicategory outcome: Theory. Biometrical Journal. 56(4). 534–563. 65 indexed citations
5.
Biau, Gérard & Yannis G. Yatracos. (2012). On the shrinkage estimation of variance. French digital mathematics library (Numdam). 153(1). 5–21. 1 indexed citations
6.
Biau, Gérard, Luc Devroye, Vida Dujmović, & Adam Krzyżak. (2012). An affine invariant k-nearest neighbor regression estimate. Journal of Multivariate Analysis. 112. 24–34. 23 indexed citations
7.
Biau, Gérard & André Mas. (2012). PCA-kernel estimation. Statistics & Risk Modeling. 29(1). 19–46. 4 indexed citations
8.
Biau, Gérard, et al.. (2011). Parameter Selection for Principal Curves. IEEE Transactions on Information Theory. 58(3). 1924–1939. 29 indexed citations
9.
Biau, Gérard & Luc Devroye. (2010). On the layered nearest neighbour estimate, the bagged nearest neighbour estimate and the random forest method in regression and classification. Journal of Multivariate Analysis. 101(10). 2499–2518. 65 indexed citations
10.
Biau, Gérard, Benoı̂t Cadre, David Y. Mason, & Bruno Pelletier. (2009). Asymptotic Normality in Density Support Estimation. Electronic Journal of Probability. 14(none). 10 indexed citations
11.
Biau, Gérard, Benoı̂t Cadre, & Bruno Pelletier. (2008). Exact rates in density support estimation. Journal of Multivariate Analysis. 99(10). 2185–2207. 22 indexed citations
12.
Biau, Gérard, Luc Devroye, & Gábor Lugosi. (2008). On the Performance of Clustering in Hilbert Spaces. IEEE Transactions on Information Theory. 54(2). 781–790. 61 indexed citations
13.
Beirlant, Jan, Alain Berlinet, & Gérard Biau. (2007). Higher order estimation at Lebesgue points. Annals of the Institute of Statistical Mathematics. 60(3). 651–677. 3 indexed citations
14.
Berlinet, Alain, et al.. (2005). Optimal bandwidth selection for variable kernel density estimates. Statistics & Probability Letters. 74(2). 116–128. 5 indexed citations
15.
Abraham, Christophe, Gérard Biau, & Benoı̂t Cadre. (2003). Simple estimation of the mode of a multivariate density. Canadian Journal of Statistics. 31(1). 23–34. 31 indexed citations
16.
Biau, Gérard & Luc Devroye. (2003). On the risk of estimates for block decreasing densities. Journal of Multivariate Analysis. 86(1). 143–165. 8 indexed citations
17.
Biau, Gérard. (2002). Optimal asymptotic quadratic errors of density estimators on random fields. Statistics & Probability Letters. 60(3). 297–307. 7 indexed citations
18.
Beirlant, Jan, Alain Berlinet, Gérard Biau, & Igor Vajda. (2002). Divergence-type errors of smooth Barron-type density estimators. Test. 11(1). 191–217. 3 indexed citations
19.
Berlinet, Alain & Gérard Biau. (2001). Minimax Bounds in Nonparametric Estimation of Multidimensional Deterministic Dynamical Systems. Statistical Inference for Stochastic Processes. 4(3). 229–248. 1 indexed citations
20.
Biau, Gérard, Eduardo Zorita, Hans von Storch, & Hans Wackernagel. (1999). Estimation of Precipitation by Kriging in the EOF Space of theSea Level Pressure Field. Journal of Climate. 12(4). 1070–1085. 72 indexed citations

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.

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