Yann Laurillau
- Biomedical Engineering top 5%
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 10%
- Human-Computer Interaction top 2%
- Rehabilitation top 10%
- Co-authors
- Franck QuaineAngkoon PhinyomarkChristine ServièreSylvie CharbonnierFranck Tarpin-BernardSirinee ThongpanjaPornchai PhukpattaranontChusak Limsakul
- Topics
- Muscle activation and electromyography studies (5 papers)EEG and Brain-Computer Interfaces (4 papers)Advanced Sensor and Energy Harvesting Materials (4 papers)
In The Last Decade
Yann Laurillau
15 papers receiving 690 citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Biomedical Engineering 627
- Cognitive Neuroscience 454
- Cellular and Molecular Neuroscience 242
- Human-Computer Interaction 150
- Rehabilitation 37
Countries citing papers authored by Yann Laurillau
This map shows the geographic impact of Yann Laurillau'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 Yann Laurillau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yann Laurillau more than expected).
Fields of papers citing papers by Yann Laurillau
This network shows the impact of papers produced by Yann Laurillau. 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 Yann Laurillau. The network helps show where Yann Laurillau may publish in the future.
Co-authorship network of co-authors of Yann Laurillau
This figure shows the co-authorship network connecting the top 25 collaborators of Yann Laurillau. A scholar is included among the top collaborators of Yann Laurillau 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 Yann Laurillau. Yann Laurillau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 56 | |
| 8 | 1 | |
| 9 | 98 | |
| 10 | 1 | |
| 11 | 21 | |
| 12 | EMG feature evaluation for improving myoelectric pattern recognition robustnessbreakdown → | 489 |
| 13 | 3 | |
| 14 | 19 | |
| 15 | 6 |
About Yann Laurillau
Yann Laurillau is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Applied Psychology, having authored 15 papers that have together received 705 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (5 papers), EEG and Brain-Computer Interfaces (4 papers) and Advanced Sensor and Energy Harvesting Materials (4 papers). The work is most often cited by research in Human-Computer Interaction (150 citations), Cognitive Neuroscience (454 citations) and Biomedical Engineering (627 citations). Yann Laurillau has collaborated with scholars based in France, Thailand and India. Frequent co-authors include Franck Quaine, Angkoon Phinyomark, Christine Servière, Sylvie Charbonnier, Franck Tarpin-Bernard, Sirinee Thongpanja, Pornchai Phukpattaranont, Chusak Limsakul, Laurence Nigay and Gaëlle Calvary. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Instrumentation and Measurement and Computer Methods and Programs in Biomedicine.
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.