Fabien Lotte

14.2k total citations · 3 hit papers
99 papers, 8.2k citations indexed

About

Fabien Lotte is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Fabien Lotte has authored 99 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Cognitive Neuroscience, 33 papers in Cellular and Molecular Neuroscience and 20 papers in Electrical and Electronic Engineering. Recurrent topics in Fabien Lotte's work include EEG and Brain-Computer Interfaces (93 papers), Neuroscience and Neural Engineering (33 papers) and Neural dynamics and brain function (32 papers). Fabien Lotte is often cited by papers focused on EEG and Brain-Computer Interfaces (93 papers), Neuroscience and Neural Engineering (33 papers) and Neural dynamics and brain function (32 papers). Fabien Lotte collaborates with scholars based in France, Germany and Japan. Fabien Lotte's co-authors include Marco Congedo, Cuntai Guan, Bruno Arnaldi, A. Lécuyer, F. Lamarche, Florian Yger, Anatole Lécuyer, Maureen Clerc, Andrzej Cichocki and Laurent Bougrain and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Proceedings of the IEEE.

In The Last Decade

Fabien Lotte

93 papers receiving 8.0k citations

Hit Papers

align trajectories

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.

A review of classification algorithms for EEG-based brain–computer interfaces

2007 1.8k citations Fabien Lotte, Marco Congedo et al. Journal of Neural Engineering profile →
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 →
Regularizing Common Spatial Patterns to Improve BCI Designs: Unified Theory and New Algorithms

2010 787 citations Fabien Lotte, Cuntai Guan profile →

Peers

Fabien Lotte

CN

CMN

EEE

HI

SP

Marco Congedo France

Michael Tangermann Germany

Kai Keng Ang Singapore

Alois Schlögl Austria

Thilo Hinterberger Germany

Reinhold Scherer Austria

Dean J. Krusienski United States

Clemens Brunner Austria

Xiaorong Gao China

Marco Congedo France

Fabien Lotte

6.9k ×0.9

CN

2.1k ×0.7

CMN

1.1k ×0.7

EEE

1.1k ×0.7

HI

1.3k ×0.9

SP

Citations per year, relative to Fabien Lotte Fabien Lotte (= 1×) peers Marco Congedo

Countries citing papers authored by Fabien Lotte

Since Specialization

Citations

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

Fields of papers citing papers by Fabien Lotte

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabien Lotte

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

All Works

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20 of 20 papers shown

1.

Lotte, Fabien, et al.. (2025). Evolution of users’ subjective experience over three training sessions with an EEG Motor-Imagery Brain–Computer Interface (MI-BCI). Brain Research. 1872. 150085–150085.

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.

Molinas, Marta, et al.. (2024). Machine Learning Methods for BCI: challenges, pitfalls and promises. 555–564. 2 indexed citations

4.

Pillette, Léa, et al.. (2023). A large EEG database with users’ profile information for motor imagery brain-computer interface research. Scientific Data. 10(1). 580–580. 13 indexed citations

5.

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

6.

Roy, Raphaëlle N., et al.. (2022). Retrospective on the First Passive Brain-Computer Interface Competition on Cross-Session Workload Estimation. SHILAP Revista de lepidopterología. 3. 838342–838342. 18 indexed citations

7.

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

8.

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

9.

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

10.

Nam, Chang S., Anton Nijholt, & Fabien Lotte. (2018). Brain-Computer Interfaces Handbook: Technological and Theoretical Advances. Data Archiving and Networked Services (DANS). 48 indexed citations

11.

Krol, Laurens R., et al.. (2018). SEREEGA: Simulating event-related EEG activity. Journal of Neuroscience Methods. 309. 13–24. 34 indexed citations

12.

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

13.

Meinel, Andreas, et al.. (2018). Characterizing Regularization Techniques for Spatial Filter Optimization in Oscillatory EEG Regression Problems. Neuroinformatics. 17(2). 235–251. 13 indexed citations

14.

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

15.

Arns, Martijn, Jean-Marie Batail, Stéphanie Bioulac, et al.. (2016). Neurofeedback: One of today's techniques in psychiatry?. L Encéphale. 43(2). 135–145. 85 indexed citations

16.

Mühl, Christian, Camille Jeunet, & Fabien Lotte. (2014). EEG-based workload estimation across affective contexts. SPIRE - Sciences Po Institutional REpository. 1 indexed citations

17.

Lotte, Fabien, Florian Larrue, & Christian Mühl. (2013). Flaws in current human training protocols for spontaneous Brain-Computer Interfaces: lessons learned from instructional design. Frontiers in Human Neuroscience. 7. 568–568. 203 indexed citations

18.

Lotte, Fabien. (2011). Generating Artificial EEG Signals To Reduce BCI Calibration Time. HAL (Le Centre pour la Communication Scientifique Directe). 34(7). 176–179. 19 indexed citations

19.

Lotte, Fabien & Cuntai Guan. (2009). An Efficient P300-based Brain-Computer Interface with Minimal Calibration Time. INRIA a CCSD electronic archive server. 24 indexed citations

20.

Congedo, Marco, Fabien Lotte, & A. Lécuyer. (2006). Classification of movement intention by spatially filtered electromagnetic inverse solutions. Physics in Medicine and Biology. 51(8). 1971–1989. 62 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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