Claire Lacour

21 papers and 287 indexed citations i.

About

Claire Lacour is a scholar working on Statistics and Probability, Artificial Intelligence and Finance. According to data from OpenAlex, Claire Lacour has authored 21 papers receiving a total of 287 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 7 papers in Finance. Recurrent topics in Claire Lacour’s work include Statistical Methods and Inference (17 papers), Bayesian Methods and Mixture Models (11 papers) and Financial Risk and Volatility Modeling (6 papers). Claire Lacour is often cited by papers focused on Statistical Methods and Inference (17 papers), Bayesian Methods and Mixture Models (11 papers) and Financial Risk and Volatility Modeling (6 papers). Claire Lacour collaborates with scholars based in France and Chile. Claire Lacour's co-authors include Fabienne Comte, Vincent Rivoirard, Pascal Massart, Karine Bertin, Yohann de Castro and Yves Rozenholc and has published in prestigious journals such as Journal of Econometrics, Journal of the Royal Statistical Society Series B (Statistical Methodology) and Journal of Multivariate Analysis.

In The Last Decade

Co-authorship network of co-authors of Claire Lacour i

Fields of papers citing papers by Claire Lacour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Claire Lacour

Since Specialization
Citations

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