Timothée Levi
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
Papers in
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- Advanced Memory and Neural Computing 35
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- Neuroscience and Neural Engineering 32
- Neuroscience and Neuropharmacology Research 3
- Photoreceptor and optogenetics research 3
- Co-authors
- Sylvain Saïghi (8 shared papers)Yoshiho Ikeuchi (9 shared papers)Takashi Kohno (11 shared papers)Teruo Fujii (5 shared papers)Michela Chiappalone (10 shared papers)Sébastien Joucla (2 shared papers)Blaise Yvert (5 shared papers)Yannick Bornat (6 shared papers)
In The Last Decade
Timothée Levi
48 papers receiving 796 citations
Peers
Comparison fields: 5 of 79
- Cellular and Molecular Neuroscience 437
- Cognitive Neuroscience 394
- Developmental Neuroscience 30
- Electrical and Electronic Engineering 419
- Artificial Intelligence 129
Countries citing papers authored by Timothée Levi
This map shows the geographic impact of Timothée Levi'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 Timothée Levi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothée Levi more than expected).
Fields of papers citing papers by Timothée Levi
This network shows the impact of papers produced by Timothée Levi. 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 Timothée Levi. The network helps show where Timothée Levi may publish in the future.
Co-authors
The 25 scholars most cited alongside Timothée Levi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 85 | |
| 2 | 2013 | 61 | |
| 3 | 2013 | 58 | |
| 4 | 2019 | 58 | |
| 5 | 2024 | 53 | |
| 6 | 2019 | 44 | |
| 7 | 2019 | 40 | |
| 8 | 2016 | 39 | |
| 9 | 2021 | 37 | |
| 10 | 2020 | 35 | |
| 11 | 2020 | 28 | |
| 12 | 2017 | 28 | |
| 13 | 2022 | 24 | |
| 14 | 2014 | 24 | |
| 15 | 2018 | 22 | |
| 16 | 2016 | 17 | |
| 17 | 2020 | 15 | |
| 18 | 2017 | 14 | |
| 19 | 2019 | 13 | |
| 20 | 2024 | 12 |
About Timothée Levi
Timothée Levi is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Biomedical Engineering and Artificial Intelligence, having authored 50 papers that have together received 803 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (35 papers), Neuroscience and Neural Engineering (32 papers), Neural dynamics and brain function (26 papers), EEG and Brain-Computer Interfaces (7 papers), Neuroscience and Neuropharmacology Research (3 papers), Photoreceptor and optogenetics research (3 papers), Neural Networks and Reservoir Computing (3 papers) and Analog and Mixed-Signal Circuit Design (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (437 citations), Cognitive Neuroscience (394 citations), Developmental Neuroscience (30 citations), Electrical and Electronic Engineering (419 citations) and Artificial Intelligence (129 citations). Timothée Levi has collaborated with scholars based in France, Japan and Italy. Frequent co-authors include Sylvain Saïghi, Yoshiho Ikeuchi, Takashi Kohno, Teruo Fujii, Michela Chiappalone, Sébastien Joucla, Blaise Yvert, Yannick Bornat, Jiro Kawada and Kazuyuki Aihara. Their work appears in journals such as Frontiers in Neuroscience, Nature Communications, iScience, Frontiers in Neural Circuits and Communications Physics.
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.