Camille Jeunet

2.4k total citations
29 papers, 1.1k citations indexed

About

Camille Jeunet is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Camille Jeunet has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cognitive Neuroscience, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Camille Jeunet's work include EEG and Brain-Computer Interfaces (26 papers), Neural and Behavioral Psychology Studies (14 papers) and Neuroscience and Neural Engineering (6 papers). Camille Jeunet is often cited by papers focused on EEG and Brain-Computer Interfaces (26 papers), Neural and Behavioral Psychology Studies (14 papers) and Neuroscience and Neural Engineering (6 papers). Camille Jeunet collaborates with scholars based in France, Switzerland and United Kingdom. Camille Jeunet's co-authors include Fabien Lotte, Bernard N’Kaoua, Ferran Argelaguet, Jean‐Arthur Micoulaud‐Franchi, Jean-Marie Batail, Martin Hachet, Sriram Subramanian, Léa Pillette, Bertrand Glize and Anatole Lécuyer and has published in prestigious journals such as PLoS ONE, Scientific Reports and Neuroscience.

In The Last Decade

Camille Jeunet

29 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Camille Jeunet France 16 967 332 245 162 117 29 1.1k
Guillaume Gibert France 12 872 0.9× 325 1.0× 205 0.8× 153 0.9× 92 0.8× 26 1.1k
Ivo Käthner Germany 13 888 0.9× 333 1.0× 312 1.3× 99 0.6× 84 0.7× 26 1.3k
Emmanuel Maby France 13 996 1.0× 324 1.0× 137 0.6× 129 0.8× 89 0.8× 25 1.1k
Joseph N. Mak Hong Kong 16 1.0k 1.1× 481 1.4× 240 1.0× 141 0.9× 234 2.0× 23 1.3k
Martin Spüler Germany 20 936 1.0× 446 1.3× 171 0.7× 223 1.4× 167 1.4× 42 1.1k
Roberta Carabalona Italy 15 620 0.6× 394 1.2× 166 0.7× 113 0.7× 193 1.6× 23 1.4k
Angela Riccio Italy 18 1.0k 1.1× 654 2.0× 304 1.2× 130 0.8× 100 0.9× 36 1.4k
Tiejun Liu China 19 1.0k 1.1× 325 1.0× 111 0.5× 138 0.9× 79 0.7× 71 1.2k
Elisa Mira Holz Germany 13 1.4k 1.4× 545 1.6× 248 1.0× 103 0.6× 96 0.8× 19 1.5k
Guenter Edlinger Austria 6 668 0.7× 371 1.1× 235 1.0× 116 0.7× 69 0.6× 9 791

Countries citing papers authored by Camille Jeunet

Since Specialization
Citations

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

Fields of papers citing papers by Camille Jeunet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Camille Jeunet

This figure shows the co-authorship network connecting the top 25 collaborators of Camille Jeunet. A scholar is included among the top collaborators of Camille Jeunet 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 Camille Jeunet. Camille Jeunet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Guerrini, Chiara, et al.. (2025). Changes in cortical beta power predict motor control flexibility, not vigor. Communications Biology. 8(1). 1041–1041. 1 indexed citations
2.
Jeunet, Camille, et al.. (2022). When should MI-BCI feature optimization include prior knowledge, and which one?. SPIRE - Sciences Po Institutional REpository. 9(2). 115–128. 12 indexed citations
3.
Mladenović, Jelena, et al.. (2021). Long-Term BCI Training of a Tetraplegic User: Adaptive Riemannian Classifiers and User Training. Frontiers in Human Neuroscience. 15. 635653–635653. 34 indexed citations
4.
5.
Pillette, Léa, et al.. (2020). A review of user training methods in brain computer interfaces based on mental tasks. Journal of Neural Engineering. 18(1). 11002–11002. 67 indexed citations
6.
Duarte, Maria Eduarda, Ferran Argelaguet, Camille Jeunet, et al.. (2020). Detecting System Errors in Virtual Reality Using EEG Through Error-Related Potentials. SPIRE - Sciences Po Institutional REpository. 653–661. 23 indexed citations
7.
Jeunet, Camille, Luca Tonin, Ricardo Chavarriaga, et al.. (2020). Uncovering EEG Correlates of Covert Attention in Soccer Goalkeepers: Towards Innovative Sport Training Procedures. Scientific Reports. 10(1). 1705–1705. 17 indexed citations
8.
9.
Jeunet, Camille, Denis Hauw, & José del R. Millán. (2020). Sport Psychology: Technologies Ahead. Frontiers in Sports and Active Living. 2. 10–10. 7 indexed citations
10.
Batail, Jean-Marie, Stéphanie Bioulac, François Cabestaing, et al.. (2019). EEG neurofeedback research: A fertile ground for psychiatry?. L Encéphale. 45(3). 245–255. 40 indexed citations
11.
Lotte, Fabien, Camille Jeunet, Ricardo Chavarriaga, et al.. (2019). Turning negative into positives! Exploiting ‘negative’ results in Brain–Machine Interface (BMI) research. SPIRE - Sciences Po Institutional REpository. 6(4). 178–189. 10 indexed citations
12.
Jeunet, Camille, et al.. (2018). Using Recent BCI Literature to Deepen our Understanding of Clinical Neurofeedback: A Short Review. Neuroscience. 378. 225–233. 42 indexed citations
13.
Jeunet, Camille, Bertrand Glize, Aileen McGonigal, Jean-Marie Batail, & Jean‐Arthur Micoulaud‐Franchi. (2018). Using EEG-based brain computer interface and neurofeedback targeting sensorimotor rhythms to improve motor skills: Theoretical background, applications and prospects. Neurophysiologie Clinique. 49(2). 125–136. 80 indexed citations
14.
Lotte, Fabien & Camille Jeunet. (2018). Defining and quantifying users’ mental imagery-based BCI skills: a first step. Journal of Neural Engineering. 15(4). 46030–46030. 50 indexed citations
15.
Jeunet, Camille, Bernard N’Kaoua, & Fabien Lotte. (2016). Advances in user-training for mental-imagery-based BCI control. Progress in brain research. 228. 3–35. 95 indexed citations
16.
Jeunet, Camille, et al.. (2016). Why standard brain-computer interface (BCI) training protocols should be changed: an experimental study. Journal of Neural Engineering. 13(3). 36024–36024. 128 indexed citations
17.
Jeunet, Camille, Bernard N’Kaoua, Sriram Subramanian, Martin Hachet, & Fabien Lotte. (2015). Predicting Mental Imagery-Based BCI Performance from Personality, Cognitive Profile and Neurophysiological Patterns. PLoS ONE. 10(12). e0143962–e0143962. 120 indexed citations
18.
Mühl, Christian, Camille Jeunet, & Fabien Lotte. (2014). EEG-based workload estimation across affective contexts. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
19.
Jeunet, Camille, Fabien Lotte, Martin Hachet, & Bernard N’Kaoua. (2014). Impact of cognitive and personality profiles on mental-imagery based brain–computer interface-control performance. International Journal of Psychophysiology. 94(2). 189–189. 4 indexed citations
20.
Jeunet, Camille, et al.. (2014). EEG-based workload estimation across affective contexts. Frontiers in Neuroscience. 8. 114–114. 116 indexed citations

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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