Gabriel Peyré

105 papers and 6.9k indexed citations i.

About

Gabriel Peyré is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Mathematical Physics. According to data from OpenAlex, Gabriel Peyré has authored 105 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computational Mechanics, 43 papers in Computer Vision and Pattern Recognition and 20 papers in Mathematical Physics. Recurrent topics in Gabriel Peyré’s work include Sparse and Compressive Sensing Techniques (34 papers), Image and Signal Denoising Methods (21 papers) and Inverse Problems in Mathematical Physics and Imaging (20 papers). Gabriel Peyré is often cited by papers focused on Sparse and Compressive Sensing Techniques (34 papers), Image and Signal Denoising Methods (21 papers) and Inverse Problems in Mathematical Physics and Imaging (20 papers). Gabriel Peyré collaborates with scholars based in France, United States and Japan. Gabriel Peyré's co-authors include Stéphane Mallat, Marco Cuturi, Vincent Duval, Jalal Fadili, Jalal Fadili, Bernhard Schmitzer, Guillaume Carlier, Laurent D. Cohen, François‐Xavier Vialard and Lénaïc Chizat and has published in prestigious journals such as Nature Communications, Bioinformatics and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Co-authorship network of co-authors of Gabriel Peyré i

Fields of papers citing papers by Gabriel Peyré

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gabriel Peyré

Since Specialization
Citations

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