Sylvain Chevallier

921 citations
45 papers · 443 · h-index 11

Impact in

Papers in

Sylvain Chevallier

40 papers receiving 438 citations

Peers

Sylvain Chevallier
Comparison fields: 5 of 58
  • Cognitive Neuroscience 349
  • Human-Computer Interaction 63
  • Cellular and Molecular Neuroscience 131
  • Signal Processing 74
  • Computational Mathematics 2
Replace Víctor Martínez-Cagigal with:
Víctor Martínez-Cagigal Spain
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Natasha Padfield United Kingdom
Ali Al-Saegh Iraq
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Citations per field
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Citations per year

Countries citing papers authored by Sylvain Chevallier

Since Specialization
Citations

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

Fields of papers citing papers by Sylvain Chevallier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sylvain Chevallier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sylvain Chevallier Line = papers co-authored together Sylvain Chevallier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201676
2 201757
3 201638
4 202037
5 202034
6 201425
7 201324
8 202114
9 201813
10 201212
11 202012
12 202010
13 20149
14 20238
15 20227
16 20237
17 20235
18 20195
19 20145
20
SpikeAnts, a spiking neuron network modelling the emergence of organization in a complex system
20104

About Sylvain Chevallier

Sylvain Chevallier is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Artificial Intelligence, Human-Computer Interaction and Signal Processing, having authored 45 papers that have together received 443 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (28 papers), Neural dynamics and brain function (18 papers), Neuroscience and Neural Engineering (10 papers), Functional Brain Connectivity Studies (7 papers), Blind Source Separation Techniques (5 papers), Gaze Tracking and Assistive Technology (5 papers), Advanced Memory and Neural Computing (4 papers) and Neural Networks and Applications (4 papers). The work is most often cited by research in Cognitive Neuroscience (349 citations), Human-Computer Interaction (63 citations), Cellular and Molecular Neuroscience (131 citations), Signal Processing (74 citations) and Computational Mathematics (2 citations). Sylvain Chevallier has collaborated with scholars based in France, South Africa and Japan. Frequent co-authors include Isabelle Bloch, Joe Wiart, Yuan Yang, Éric Monacelli, Quentin Barthélemy, Yskandar Hamam, Karim Djouani, Éric Azabou, Marie‐Constance Corsi and Florian Yger. Their work appears in journals such as Journal of Neural Engineering, Neurocomputing, Cognitive Computation, Neuroinformatics and Frontiers in Aging Neuroscience.

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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