François Vialatte
- Cognitive Neuroscience top 0.5%
- Cellular and Molecular Neuroscience top 2%
- Signal Processing top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Psychiatry and Mental health top 5%
- Co-authors
- Andrzej CichockiJustin DauwelsMonique MauriceToshimitsu MushaGérard DreyfusJordi Solé‐CasalsCharles-Francois V. LatchoumaneHovagim Bakardjian
- Topics
- EEG and Brain-Computer Interfaces (51 papers)Neural dynamics and brain function (45 papers)Functional Brain Connectivity Studies (21 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONENeuroImage
In The Last Decade
François Vialatte
71 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Cognitive Neuroscience 2.5k
- Cellular and Molecular Neuroscience 640
- Signal Processing 315
- Cardiology and Cardiovascular Medicine 310
- Psychiatry and Mental health 279
Countries citing papers authored by François Vialatte
This map shows the geographic impact of François Vialatte'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 François Vialatte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites François Vialatte more than expected).
Fields of papers citing papers by François Vialatte
This network shows the impact of papers produced by François Vialatte. 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 François Vialatte. The network helps show where François Vialatte may publish in the future.
Co-authorship network of co-authors of François Vialatte
This figure shows the co-authorship network connecting the top 25 collaborators of François Vialatte. A scholar is included among the top collaborators of François Vialatte 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 François Vialatte. François Vialatte is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 15 | |
| 4 | 18 | |
| 5 | 40 | |
| 6 | 97 | |
| 7 | 15 | |
| 8 | 54 | |
| 9 | 85 | |
| 10 | 89 | |
| 11 | 45 | |
| 12 | 58 | |
| 13 | 35 | |
| 14 | 375 | |
| 15 | Bump time-frequency toolbox: a toolbox for time-frequency oscillatory bursts extraction in electrophysiological signals | 1 |
| 16 | 302 | |
| 17 | 27 | |
| 18 | 10 | |
| 19 | 4 | |
| 20 | Oscillatory activity, behaviour and memory, new approaches for LFP signal analysis | 4 |
About François Vialatte
François Vialatte is a scholar working on Cognitive Neuroscience, Signal Processing and Cellular and Molecular Neuroscience, having authored 75 papers that have together received 3.0k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (51 papers), Neural dynamics and brain function (45 papers) and Functional Brain Connectivity Studies (21 papers). The work is most often cited by research in Cognitive Neuroscience (2.5k citations), Computational Mathematics (34 citations) and Cellular and Molecular Neuroscience (640 citations). François Vialatte has collaborated with scholars based in France, Japan and Spain. Frequent co-authors include Andrzej Cichocki, Justin Dauwels, Monique Maurice, Toshimitsu Musha, Gérard Dreyfus, Jordi Solé‐Casals, Charles-Francois V. Latchoumane, Hovagim Bakardjian, Jaeseung Jeong and Nesma Houmani. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.
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.