Élisabeth Gassiat

35 papers and 780 indexed citations i.

About

Élisabeth Gassiat is a scholar working on Statistics and Probability, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Élisabeth Gassiat has authored 35 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 18 papers in Artificial Intelligence and 5 papers in Control and Systems Engineering. Recurrent topics in Élisabeth Gassiat’s work include Bayesian Methods and Mixture Models (18 papers), Statistical Methods and Inference (12 papers) and Statistical Methods and Bayesian Inference (10 papers). Élisabeth Gassiat is often cited by papers focused on Bayesian Methods and Mixture Models (18 papers), Statistical Methods and Inference (12 papers) and Statistical Methods and Bayesian Inference (10 papers). Élisabeth Gassiat collaborates with scholars based in France, Australia and Benin. Élisabeth Gassiat's co-authors include Didier Dacunha‐Castelle, Fabrice Gamboa, Éric Moulines, J.-F. Cardoso, Judith Rousseau, Christine Keribin, Jean‐Marc Azäis, Cécile Mercadier, Nicolas Verzélen and Stéphane Robin and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and The Annals of Statistics.

In The Last Decade

Co-authorship network of co-authors of Élisabeth Gassiat i

Fields of papers citing papers by Élisabeth Gassiat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Élisabeth Gassiat

Since Specialization
Citations

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