Gérard Biau

29 papers and 733 indexed citations i.

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 29 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistics and Probability, 16 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, Arnaud Guyader, Frédéric Cérou, Gábor Lugosi, Christophe Abraham, Eduardo Zorita and Hans von Storch and has published in prestigious journals such as Journal of Climate, IEEE Transactions on Information Theory and Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Gérard Biau i

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.

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).

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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