Jean Barbier
About
Jean Barbier has authored 46 papers that have received a total of 747 indexed citations.
This includes 23 papers in Computational Mechanics, 14 papers in Signal Processing and 13 papers in Artificial Intelligence. The topics of these papers are Sparse and Compressive Sensing Techniques (23 papers), Blind Source Separation Techniques (14 papers) and Random Matrices and Applications (9 papers). Jean Barbier is often cited by papers focused on Sparse and Compressive Sensing Techniques (23 papers), Blind Source Separation Techniques (14 papers) and Random Matrices and Applications (9 papers) and collaborates with scholars based in Switzerland, Italy and France. Jean Barbier's co-authors include Nicolas Macris, Florent Krząkała, Lenka Zdeborová, Mohamad Dia and Léo Miolane and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Information Theory and Communications in Mathematical Physics
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