Fabien Lotte
- Cognitive Neuroscience top 0.1%
- Cellular and Molecular Neuroscience top 0.5%
- Electrical and Electronic Engineering top 2%
- Human-Computer Interaction top 0.1%
- Signal Processing top 0.2%
- Co-authors
- Marco CongedoCuntai GuanBruno ArnaldiA. LécuyerF. LamarcheFlorian YgerAnatole LécuyerMaureen Clerc
- Topics
- EEG and Brain-Computer Interfaces (93 papers)Neuroscience and Neural Engineering (33 papers)Neural dynamics and brain function (32 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEProceedings of the IEEE
In The Last Decade
Fabien Lotte
93 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Cognitive Neuroscience 7.6k
- Cellular and Molecular Neuroscience 2.9k
- Electrical and Electronic Engineering 1.6k
- Human-Computer Interaction 1.6k
- Signal Processing 1.5k
Countries citing papers authored by Fabien Lotte
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 13 | |
| 5 | 12 | |
| 6 | 18 | |
| 7 | 34 | |
| 8 | 67 | |
| 9 | 40 | |
| 10 | Brain-Computer Interfaces Handbook: Technological and Theoretical Advances | 48 |
| 11 | 34 | |
| 12 | 50 | |
| 13 | 13 | |
| 14 | 95 | |
| 15 | 85 | |
| 16 | EEG-based workload estimation across affective contexts | 1 |
| 17 | 203 | |
| 18 | 19 | |
| 19 | An Efficient P300-based Brain-Computer Interface with Minimal Calibration Time | 24 |
| 20 | 62 |
About Fabien Lotte
Fabien Lotte is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Cellular and Molecular Neuroscience, having authored 99 papers that have together received 8.2k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (93 papers), Neuroscience and Neural Engineering (33 papers) and Neural dynamics and brain function (32 papers). The work is most often cited by research in Cognitive Neuroscience (7.6k citations), Human-Computer Interaction (1.6k citations) and Cellular and Molecular Neuroscience (2.9k citations). Fabien Lotte has collaborated with scholars based in France, Germany and Japan. Frequent co-authors include Marco Congedo, Cuntai Guan, Bruno Arnaldi, A. Lécuyer, F. Lamarche, Florian Yger, Anatole Lécuyer, Maureen Clerc, Andrzej Cichocki and Laurent Bougrain. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Proceedings of the IEEE.
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.