Gérard Biau

24 papers and 2.5k indexed citations i.

About

Gérard Biau is a scholar working on Artificial Intelligence, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Gérard Biau has authored 24 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 7 papers in Statistics and Probability and 4 papers in Molecular Biology. Recurrent topics in Gérard Biau’s work include Bayesian Methods and Mixture Models (8 papers), Statistical Methods and Inference (6 papers) and Neural Networks and Applications (4 papers). Gérard Biau is often cited by papers focused on Bayesian Methods and Mixture Models (8 papers), Statistical Methods and Inference (6 papers) and Neural Networks and Applications (4 papers). Gérard Biau collaborates with scholars based in France, Canada and Hungary. Gérard Biau's co-authors include Erwan Scornet, Jean‐Philippe Vert, Benoı̂t Cadre, Kevin Bleakley, Christophe Abraham, László Györfi, Johannes Welbl, Luc Devroye, Bruno Pelletier and Marie‐Paule Lefranc and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Information Theory and The Annals of Statistics.

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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