Jérémy Rapin
- Cognitive Neuroscience top 10%
- Cardiology and Cardiovascular Medicine
- Artificial Intelligence
- Signal Processing top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- J. BobinJean‐Luc StarckJean-Rémi KingCharlotte CaucheteuxAlexandre DéfossezOlivier TeytaudStephen W. SmithJia Li
- Topics
- Metaheuristic Optimization Algorithms Research (6 papers)Blind Source Separation Techniques (6 papers)Speech and Audio Processing (5 papers)
- Journals
- Nature CommunicationsIEEE Transactions on Image ProcessingIEEE Transactions on Signal Processing
- Partner nations
- FranceUnited StatesNetherlands
In The Last Decade
Jérémy Rapin
19 papers receiving 398 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Cognitive Neuroscience 148
- Cardiology and Cardiovascular Medicine 83
- Artificial Intelligence 83
- Signal Processing 66
- Computer Vision and Pattern Recognition 39
Countries citing papers authored by Jérémy Rapin
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Decoding speech perception from non-invasive brain recordingsbreakdown → | 81 |
| 3 | 3 | |
| 4 | 11 | |
| 5 | 23 | |
| 6 | 21 | |
| 7 | 5 | |
| 8 | 14 | |
| 9 | 29 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 10 | |
| 13 | 69 | |
| 14 | 9 | |
| 15 | 37 | |
| 16 | 0 | |
| 17 | 17 | |
| 18 | 1 | |
| 19 | 19 | |
| 20 | 52 |
About Jérémy Rapin
Jérémy Rapin is a scholar working on Signal Processing, Computational Theory and Mathematics and Artificial Intelligence, having authored 20 papers that have together received 406 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (6 papers), Blind Source Separation Techniques (6 papers) and Speech and Audio Processing (5 papers). The work is most often cited by research in Health Informatics (12 citations), Cognitive Neuroscience (148 citations) and Signal Processing (66 citations). Jérémy Rapin has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include J. Bobin, Jean‐Luc Starck, Jean-Rémi King, Charlotte Caucheteux, Alexandre Défossez, Olivier Teytaud, Stephen W. Smith, Jia Li, William H. Fennell and Jason W. Bohland. Their work appears in journals such as Nature Communications, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.
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.