Régis Lengelle
- Cognitive Neuroscience top 10%
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Civil and Structural Engineering top 10%
- Co-authors
- Thierry DenœuxPierre BeauseroyJ.P. MacherNicolas SchaltenbrandCédric RichardR. LuthringerAlain MuzetMichel Toussaint
- Topics
- Blind Source Separation Techniques (9 papers)Neural Networks and Applications (8 papers)EEG and Brain-Computer Interfaces (6 papers)
- Partner nations
- FranceLebanonUnited States
In The Last Decade
Régis Lengelle
31 papers receiving 528 citations
Peers
Comparison fields: 5 of 87
- Cognitive Neuroscience 182
- Artificial Intelligence 181
- Signal Processing 124
- Computer Vision and Pattern Recognition 104
- Civil and Structural Engineering 82
Countries citing papers authored by Régis Lengelle
This map shows the geographic impact of Régis Lengelle'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 Régis Lengelle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Régis Lengelle more than expected).
Fields of papers citing papers by Régis Lengelle
This network shows the impact of papers produced by Régis Lengelle. 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 Régis Lengelle. The network helps show where Régis Lengelle may publish in the future.
Co-authorship network of co-authors of Régis Lengelle
This figure shows the co-authorship network connecting the top 25 collaborators of Régis Lengelle. A scholar is included among the top collaborators of Régis Lengelle 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 Régis Lengelle. Régis Lengelle 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 | 1 | |
| 3 | 16 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 14 | |
| 7 | 8 | |
| 8 | 2 | |
| 9 | 9 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 4 | |
| 14 | Sur le Contrôle de la Complexité des Détecteurs opérant dans le Domaine Temps-Fréquence par le biais de la Fonction de Paramétrisation | 2 |
| 15 | 30 | |
| 16 | 7 | |
| 17 | 123 | |
| 18 | Performance analysis of a MLP weight initialization algorithm. | 4 |
| 19 | 65 | |
| 20 | 3 |
About Régis Lengelle
Régis Lengelle is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 555 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (9 papers), Neural Networks and Applications (8 papers) and EEG and Brain-Computer Interfaces (6 papers). The work is most often cited by research in Signal Processing (124 citations), Cognitive Neuroscience (182 citations) and Artificial Intelligence (181 citations). Régis Lengelle has collaborated with scholars based in France, Lebanon and United States. Frequent co-authors include Thierry Denœux, Pierre Beauseroy, J.P. Macher, Nicolas Schaltenbrand, Cédric Richard, R. Luthringer, Alain Muzet, Michel Toussaint, Eric Lainey and Roger Achkar. Their work appears in journals such as IEEE Transactions on Signal Processing, SLEEP and Mechanical Systems and 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.