Alain Durmus

32 papers and 512 indexed citations i.

About

Alain Durmus is a scholar working on Statistics and Probability, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Alain Durmus has authored 32 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Statistics and Probability, 11 papers in Computational Mechanics and 10 papers in Artificial Intelligence. Recurrent topics in Alain Durmus’s work include Markov Chains and Monte Carlo Methods (23 papers), Statistical Methods and Inference (14 papers) and Sparse and Compressive Sensing Techniques (9 papers). Alain Durmus is often cited by papers focused on Markov Chains and Monte Carlo Methods (23 papers), Statistical Methods and Inference (14 papers) and Sparse and Compressive Sensing Techniques (9 papers). Alain Durmus collaborates with scholars based in France, United Kingdom and Germany. Alain Durmus's co-authors include Éric Moulines, Marcelo Pereyra, Valentin De Bortoli, Arnaud Guillin, Andreas Eberle, Raphael Zimmer, Aymeric Dieuleveut, Francis Bach, Andrés Almansa and Julie Delon and has published in prestigious journals such as The Annals of Statistics, SIAM Review and Journal of Machine Learning Research.

In The Last Decade

Co-authorship network of co-authors of Alain Durmus i

Fields of papers citing papers by Alain Durmus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alain Durmus

Since Specialization
Citations

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