Catherine Matias

36 papers and 906 indexed citations i.

About

Catherine Matias is a scholar working on Artificial Intelligence, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Catherine Matias has authored 36 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 19 papers in Statistics and Probability and 10 papers in Molecular Biology. Recurrent topics in Catherine Matias’s work include Bayesian Methods and Mixture Models (15 papers), Statistical Methods and Inference (10 papers) and Markov Chains and Monte Carlo Methods (8 papers). Catherine Matias is often cited by papers focused on Bayesian Methods and Mixture Models (15 papers), Statistical Methods and Inference (10 papers) and Markov Chains and Monte Carlo Methods (8 papers). Catherine Matias collaborates with scholars based in France, Italy and United States. Catherine Matias's co-authors include Vincent Miele, John A. Rhodes, Elizabeth S. Allman, Christophe Ambroise, Randal Douc, Cristina Butucea, Stéphane Robin, Julien Chiquet, Mathieu Dubois and Adelme Bazin and has published in prestigious journals such as Bioinformatics, The Annals of Statistics and Systematic Biology.

In The Last Decade

Co-authorship network of co-authors of Catherine Matias i

Fields of papers citing papers by Catherine Matias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Catherine Matias

Since Specialization
Citations

This map shows the geographic impact of Catherine Matias'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 Catherine Matias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine Matias 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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2025