Matthieu Lerasle

23 papers and 229 indexed citations i.

About

Matthieu Lerasle is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Matthieu Lerasle has authored 23 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistics and Probability, 11 papers in Artificial Intelligence and 6 papers in Statistics, Probability and Uncertainty. Recurrent topics in Matthieu Lerasle’s work include Statistical Methods and Inference (15 papers), Bayesian Methods and Mixture Models (9 papers) and Advanced Statistical Process Monitoring (4 papers). Matthieu Lerasle is often cited by papers focused on Statistical Methods and Inference (15 papers), Bayesian Methods and Mixture Models (9 papers) and Advanced Statistical Process Monitoring (4 papers). Matthieu Lerasle collaborates with scholars based in France, Burundi and Brazil. Matthieu Lerasle's co-authors include Guillaume Lecué, Roberto I. Oliveira, Gábor Lugosi, Luc Devroye, Patricia Reynaud-Bouret, Nicolas Verzélen, Daniel Y. Takahashi, Raphaël Chétrite, Sylvain Arlot and Éric Moulines and has published in prestigious journals such as The Annals of Statistics, Machine Learning and Probability Theory and Related Fields.

In The Last Decade

Co-authorship network of co-authors of Matthieu Lerasle i

Fields of papers citing papers by Matthieu Lerasle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matthieu Lerasle

Since Specialization
Citations

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