Éric Moulines

187 papers and 10.5k indexed citations i.

About

Éric Moulines is a scholar working on Statistics and Probability, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Éric Moulines has authored 187 papers receiving a total of 10.5k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Statistics and Probability, 72 papers in Artificial Intelligence and 38 papers in Signal Processing. Recurrent topics in Éric Moulines’s work include Markov Chains and Monte Carlo Methods (53 papers), Statistical Methods and Inference (46 papers) and Bayesian Methods and Mixture Models (32 papers). Éric Moulines is often cited by papers focused on Markov Chains and Monte Carlo Methods (53 papers), Statistical Methods and Inference (46 papers) and Bayesian Methods and Mixture Models (32 papers). Éric Moulines collaborates with scholars based in France, United States and United Kingdom. Éric Moulines's co-authors include Olivier Cappé, J.-F. Cardoso, Karim Abed‐Meraim, Adel Belouchrani, Tobias Rydén, Francis Charpentier, Randal Douc, Marc Lavielle, Tobias Rydèn and Pierre Duhamel and has published in prestigious journals such as Journal of the American Statistical Association, Econometrica and Technometrics.

In The Last Decade

Co-authorship network of co-authors of Éric Moulines i

Fields of papers citing papers by Éric Moulines

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Éric Moulines

Since Specialization
Citations

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