Laurent Bougrain

2.9k total citations · 1 hit paper
40 papers, 1.8k citations indexed

About

Laurent Bougrain is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Laurent Bougrain has authored 40 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cognitive Neuroscience, 11 papers in Cellular and Molecular Neuroscience and 10 papers in Artificial Intelligence. Recurrent topics in Laurent Bougrain's work include EEG and Brain-Computer Interfaces (33 papers), Neuroscience and Neural Engineering (11 papers) and Neural Networks and Applications (9 papers). Laurent Bougrain is often cited by papers focused on EEG and Brain-Computer Interfaces (33 papers), Neuroscience and Neural Engineering (11 papers) and Neural Networks and Applications (9 papers). Laurent Bougrain collaborates with scholars based in France, Ukraine and Tunisia. Laurent Bougrain's co-authors include Maureen Clerc, Fabien Lotte, Andrzej Cichocki, Marco Congedo, Florian Yger, Alain Rakotomamonjy, Nanying Liang, Frédéric Alexandre, Stéphanie Fleck and Антон Попов and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Frontiers in Psychology and Neurocomputing.

In The Last Decade

Laurent Bougrain

35 papers receiving 1.7k citations

Hit Papers

A review of classification algorithms for EEG-based brain... 2018 2026 2020 2023 2018 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update
    2018 1.3k citations Fabien Lotte, Laurent Bougrain et al. Journal of Neural Engineering profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laurent Bougrain France 13 1.6k 630 381 293 292 40 1.8k
Mehrdad Fatourechi Canada 15 1.5k 0.9× 700 1.1× 282 0.7× 427 1.5× 304 1.0× 31 1.9k
Moritz Grosse‐Wentrup Germany 21 2.0k 1.3× 836 1.3× 370 1.0× 370 1.3× 317 1.1× 78 2.3k
Min-Ho Lee South Korea 15 1.2k 0.7× 485 0.8× 314 0.8× 187 0.6× 293 1.0× 55 1.5k
Minpeng Xu China 23 1.9k 1.2× 968 1.5× 568 1.5× 246 0.8× 378 1.3× 133 2.1k
Lukas D. J. Fiederer Germany 8 2.1k 1.3× 659 1.0× 532 1.4× 390 1.3× 427 1.5× 9 2.3k
Claudia Keinrath Austria 12 1.6k 1.0× 657 1.0× 281 0.7× 304 1.0× 360 1.2× 22 1.7k
Luis F. Nicolás-Alonso Spain 8 1.6k 1.0× 869 1.4× 397 1.0× 296 1.0× 375 1.3× 9 1.7k
Tianyou Yu China 24 1.8k 1.1× 924 1.5× 413 1.1× 230 0.8× 676 2.3× 70 2.0k
Martin Glasstetter Germany 9 2.1k 1.3× 646 1.0× 519 1.4× 393 1.3× 375 1.3× 11 2.4k

Countries citing papers authored by Laurent Bougrain

Since Specialization
Citations

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

Fields of papers citing papers by Laurent Bougrain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurent Bougrain

This figure shows the co-authorship network connecting the top 25 collaborators of Laurent Bougrain. A scholar is included among the top collaborators of Laurent Bougrain 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 Laurent Bougrain. Laurent Bougrain 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.
Plapous, Cyril, et al.. (2026). Alternatives to Sine Carrier in Auditory BCI: Exploring Machine Learning Strategies for Assessing Modulation Detectability in EEG. IEEE Open Journal of Signal Processing. 7. 324–332.
2.
Lotte, Fabien, et al.. (2025). From Post-Median Nerve Stimulation ERD to MI-BCI Expertise Prediction. SPIRE - Sciences Po Institutional REpository. 1–6.
3.
Bougrain, Laurent, et al.. (2025). Reliable predictor of BCI motor imagery performance using median nerve stimulation. Journal of Neural Engineering. 22(2). 26039–26039. 2 indexed citations
4.
Bougrain, Laurent, et al.. (2024). Prediction of Motor-Imagery-BCI performance using Median Nerve Stimulation. SPIRE - Sciences Po Institutional REpository. 1–6. 2 indexed citations
5.
Fleck, Stéphanie, et al.. (2022). Toward an Adapted Neurofeedback for Post-stroke Motor Rehabilitation: State of the Art and Perspectives. Frontiers in Human Neuroscience. 16. 917909–917909. 18 indexed citations
6.
Bougrain, Laurent, et al.. (2020). Multiclass Classification Based on Combined Motor Imageries. Frontiers in Neuroscience. 14. 559858–559858. 8 indexed citations
7.
Bougrain, Laurent, et al.. (2019). Hypnotic State Modulates Sensorimotor Beta Rhythms During Real Movement and Motor Imagery. Frontiers in Psychology. 10. 2341–2341. 11 indexed citations
8.
Schmartz, Denis, et al.. (2019). MOTANA: study protocol to investigate motor cerebral activity during a propofol sedation. Trials. 20(1). 534–534. 5 indexed citations
9.
Bougrain, Laurent, et al.. (2019). Can a Subjective Questionnaire Be Used as Brain-Computer Interface Performance Predictor?. Frontiers in Human Neuroscience. 12. 529–529. 44 indexed citations
10.
Schmartz, Denis, et al.. (2019). Median Nerve Stimulation Based BCI: A New Approach to Detect Intraoperative Awareness During General Anesthesia. Frontiers in Neuroscience. 13. 622–622. 21 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.
Bougrain, Laurent, et al.. (2018). Electroencephalographic modulations during an open- or closed-eyes motor task. PeerJ. 6. e4492–e4492. 22 indexed citations
13.
Lotte, Fabien, Laurent Bougrain, Andrzej Cichocki, et al.. (2018). A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update. Journal of Neural Engineering. 15(3). 31005–31005. 1334 indexed citations breakdown →
14.
Clerc, Maureen, Laurent Bougrain, & Fabien Lotte. (2016). Les interfaces cerveau-ordinateur 1.
15.
16.
Liang, Nanying & Laurent Bougrain. (2012). Decoding Finger Flexion from Band-Specific ECoG Signals in Humans. Frontiers in Neuroscience. 6. 91–91. 59 indexed citations
17.
Bougrain, Laurent & Nanying Liang. (2009). Band-specific features improve Finger Flexion Prediction from ECoG. HAL (Le Centre pour la Communication Scientifique Directe). 10 indexed citations
18.
Liang, Nanying & Laurent Bougrain. (2008). Averaging techniques for single-trial analysis of oddball event-related potentials. HAL (Le Centre pour la Communication Scientifique Directe). 19 indexed citations
19.
Bougrain, Laurent, et al.. (2005). Optimal brain surgeon variants for feature selection. 2. 1371–1374. 6 indexed citations
20.
Bougrain, Laurent, Vincent Bouchot, Daniel Cassard, et al.. (2003). Knowledge Recovery for Continental-Scale Mineral Exploration by Neural Networks. Natural Resources Research. 12(3). 173–181. 21 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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