Béatrice Laurent

44 papers and 1.2k indexed citations i.

About

Béatrice Laurent is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Béatrice Laurent has authored 44 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistics and Probability, 12 papers in Artificial Intelligence and 8 papers in Statistics, Probability and Uncertainty. Recurrent topics in Béatrice Laurent’s work include Statistical Methods and Inference (14 papers), Bayesian Methods and Mixture Models (7 papers) and Mathematical Approximation and Integration (5 papers). Béatrice Laurent is often cited by papers focused on Statistical Methods and Inference (14 papers), Bayesian Methods and Mixture Models (7 papers) and Mathematical Approximation and Integration (5 papers). Béatrice Laurent collaborates with scholars based in France, Russia and United States. Béatrice Laurent's co-authors include Pascal Massart, Amandine Marrel, Bertrand Iooss, Olivier Roustant, Jean‐Michel Loubes, Elena Volkova, Frédéric Relaix, Francesca Gattazzo, Nathalie Didier and Hélène Rouard and has published in prestigious journals such as Biometrika, The Annals of Statistics and Journal of Animal Science.

In The Last Decade

Co-authorship network of co-authors of Béatrice Laurent i

Fields of papers citing papers by Béatrice Laurent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Béatrice Laurent. 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 Béatrice Laurent. The network helps show where Béatrice Laurent may publish in the future.

Countries citing papers authored by Béatrice Laurent

Since Specialization
Citations

This map shows the geographic impact of Béatrice Laurent'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 Béatrice Laurent with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Béatrice Laurent 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025