Jérémy Rapin

47 total papers · 1.1k total citations
19 papers, 366 citations indexed

About

Jérémy Rapin is a scholar working on Signal Processing, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Jérémy Rapin has authored 19 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Signal Processing, 6 papers in Artificial Intelligence and 5 papers in Computational Theory and Mathematics. Recurrent topics in Jérémy Rapin's work include Blind Source Separation Techniques (6 papers), Speech and Audio Processing (5 papers) and Evolutionary Algorithms and Applications (5 papers). Jérémy Rapin is often cited by papers focused on Blind Source Separation Techniques (6 papers), Speech and Audio Processing (5 papers) and Evolutionary Algorithms and Applications (5 papers). Jérémy Rapin collaborates with scholars based in France, United States and Netherlands. Jérémy Rapin's co-authors include Jean‐Luc Starck, J. Bobin, Charlotte Caucheteux, Jean-Rémi King, Alexandre Défossez, Jia Li, Stephen W. Smith, Olivier Teytaud, William H. Fennell and Leo Grady and has published in prestigious journals such as Nature Communications, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Jérémy Rapin

17 papers receiving 358 citations

Hit Papers

Decoding speech perceptio... 2023 2026 2024 2023 20 40 60

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jérémy Rapin 140 81 66 63 37 19 366
Chang’an A. Zhan 205 1.5× 45 0.6× 56 0.8× 33 0.5× 29 0.8× 30 357
Adam Page 188 1.3× 77 1.0× 49 0.7× 71 1.1× 79 2.1× 14 349
Anna Senft Miller 43 0.3× 52 0.6× 119 1.8× 38 0.6× 48 1.3× 7 327
Beanbonyka Rim 78 0.6× 54 0.7× 59 0.9× 48 0.8× 37 1.0× 11 355
Catalina Gómez 83 0.6× 20 0.2× 103 1.6× 36 0.6× 21 0.6× 18 318
Hani Hamdan 101 0.7× 22 0.3× 70 1.1× 65 1.0× 20 0.5× 29 304
Foad Ghaderi 144 1.0× 39 0.5× 64 1.0× 117 1.9× 46 1.2× 44 404
Yanli Zhang 237 1.7× 57 0.7× 62 0.9× 133 2.1× 90 2.4× 15 394
Kaushik Majumdar 268 1.9× 44 0.5× 56 0.8× 76 1.2× 15 0.4× 30 392
Sergül Aydöre 252 1.8× 34 0.4× 36 0.5× 26 0.4× 7 0.2× 12 374

Countries citing papers authored by Jérémy Rapin

Since Specialization
Citations

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

Fields of papers citing papers by Jérémy Rapin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jérémy Rapin

This figure shows the co-authorship network connecting the top 25 collaborators of Jérémy Rapin. A scholar is included among the top collaborators of Jérémy Rapin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jérémy Rapin. Jérémy Rapin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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