Olivier Cappé

50 papers and 4.4k indexed citations i.

About

Olivier Cappé is a scholar working on Artificial Intelligence, Signal Processing and Statistics and Probability. According to data from OpenAlex, Olivier Cappé has authored 50 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 17 papers in Signal Processing and 14 papers in Statistics and Probability. Recurrent topics in Olivier Cappé’s work include Bayesian Methods and Mixture Models (16 papers), Speech and Audio Processing (12 papers) and Markov Chains and Monte Carlo Methods (9 papers). Olivier Cappé is often cited by papers focused on Bayesian Methods and Mixture Models (16 papers), Speech and Audio Processing (12 papers) and Markov Chains and Monte Carlo Methods (9 papers). Olivier Cappé collaborates with scholars based in France, United Kingdom and Canada. Olivier Cappé's co-authors include Éric Moulines, Tobias Rydén, Randal Douc, Simon Godsill, Yannis Stylianou, Christian P. Robert, Jean‐Michel Marin, Aurélien Garivier, François Yvon and Zaïd Harchaoui and has published in prestigious journals such as Journal of the American Statistical Association, Monthly Notices of the Royal Astronomical Society and Proceedings of the IEEE.

In The Last Decade

Co-authorship network of co-authors of Olivier Cappé i

Fields of papers citing papers by Olivier Cappé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Olivier Cappé

Since Specialization
Citations

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