Aymeric Dieuleveut

11 papers and 88 indexed citations i.

About

Aymeric Dieuleveut is a scholar working on Artificial Intelligence, Computational Mechanics and Statistics and Probability. According to data from OpenAlex, Aymeric Dieuleveut has authored 11 papers receiving a total of 88 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Computational Mechanics and 3 papers in Statistics and Probability. Recurrent topics in Aymeric Dieuleveut’s work include Stochastic Gradient Optimization Techniques (8 papers), Sparse and Compressive Sensing Techniques (6 papers) and Advanced Optimization Algorithms Research (3 papers). Aymeric Dieuleveut is often cited by papers focused on Stochastic Gradient Optimization Techniques (8 papers), Sparse and Compressive Sensing Techniques (6 papers) and Advanced Optimization Algorithms Research (3 papers). Aymeric Dieuleveut collaborates with scholars based in France, Burundi and Belgium. Aymeric Dieuleveut's co-authors include Francis Bach, Alain Durmus, Martin Jaggi, Andreas Hug, Adrien Taylor, Kumar Kshitij Patel, Gersende Fort, Éric Moulines, Hoi-To Wai and Claire Boyer and has published in prestigious journals such as IEEE Transactions on Signal Processing, The Annals of Statistics and Mathematical Programming Computation.

In The Last Decade

Co-authorship network of co-authors of Aymeric Dieuleveut i

Fields of papers citing papers by Aymeric Dieuleveut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aymeric Dieuleveut

Since Specialization
Citations

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