Jean‐Marc Lina
- Cognitive Neuroscience top 1%
- Psychiatry and Mental health top 5%
- Cellular and Molecular Neuroscience top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Experimental and Cognitive Psychology top 5%
- Co-authors
- Jean GotmanJulie CarrierChristophe GrovaKais GadhoumiEliane KobayashiGeorges MatarGeorges KaddoumGiovanni Pellegrino
- Topics
- EEG and Brain-Computer Interfaces (29 papers)Neural dynamics and brain function (28 papers)Sleep and Wakefulness Research (27 papers)
- Journals
- Journal of NeuroscienceSHILAP Revista de lepidopterologíaPLoS ONE
In The Last Decade
Jean‐Marc Lina
107 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 135
- Cognitive Neuroscience 1.6k
- Psychiatry and Mental health 379
- Cellular and Molecular Neuroscience 368
- Radiology, Nuclear Medicine and Imaging 341
- Experimental and Cognitive Psychology 314
Countries citing papers authored by Jean‐Marc Lina
This map shows the geographic impact of Jean‐Marc Lina'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 Jean‐Marc Lina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Marc Lina more than expected).
Fields of papers citing papers by Jean‐Marc Lina
This network shows the impact of papers produced by Jean‐Marc Lina. 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 Jean‐Marc Lina. The network helps show where Jean‐Marc Lina may publish in the future.
Co-authorship network of co-authors of Jean‐Marc Lina
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Marc Lina. A scholar is included among the top collaborators of Jean‐Marc Lina 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 Jean‐Marc Lina. Jean‐Marc Lina 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 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 10 | |
| 12 | 3 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 27 | |
| 16 | 8 | |
| 17 | 36 | |
| 18 | 51 | |
| 19 | 9 | |
| 20 | Creating perceptual features using a BAM-inspired architecture | 8 |
About Jean‐Marc Lina
Jean‐Marc Lina is a scholar working on Cognitive Neuroscience, Endocrine and Autonomic Systems and Experimental and Cognitive Psychology, having authored 115 papers that have together received 2.4k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (29 papers), Neural dynamics and brain function (28 papers) and Sleep and Wakefulness Research (27 papers). The work is most often cited by research in Cognitive Neuroscience (1.6k citations), Psychiatry and Mental health (379 citations) and Experimental and Cognitive Psychology (314 citations). Jean‐Marc Lina has collaborated with scholars based in Canada, Italy and France. Frequent co-authors include Jean Gotman, Julie Carrier, Christophe Grova, Kais Gadhoumi, Eliane Kobayashi, Georges Matar, Georges Kaddoum, Giovanni Pellegrino, Pierre Lachapelle and Mathieu Gauvin. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.
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.