Jean Barbier

49 papers and 799 indexed citations i.

About

Jean Barbier is a scholar working on Computational Mechanics, Statistics and Probability and Signal Processing. According to data from OpenAlex, Jean Barbier has authored 49 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computational Mechanics, 15 papers in Statistics and Probability and 14 papers in Signal Processing. Recurrent topics in Jean Barbier’s work include Sparse and Compressive Sensing Techniques (23 papers), Blind Source Separation Techniques (14 papers) and Random Matrices and Applications (10 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 (10 papers). Jean Barbier collaborates with scholars based in Switzerland, Italy and France. Jean Barbier's co-authors include Nicolas Macris, Florent Krza̧kała, Lenka Zdeborová, Léo Miolane, Mohamad Dia, Antoine Maillard, Marylou Gabrié, Andre Manoel, Nobumichi Tamura and Dmitry Panchenko 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.

In The Last Decade

Co-authorship network of co-authors of Jean Barbier i

Fields of papers citing papers by Jean Barbier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jean Barbier

Since Specialization
Citations

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