Timothée Levi

1.4k citations
72 papers · 964 · h-index 17

Impact in

Papers in

Timothée Levi

66 papers receiving 948 citations

Peers

Timothée Levi
Comparison fields: 5 of 82
  • Cellular and Molecular Neuroscience 495
  • Cognitive Neuroscience 454
  • Electrical and Electronic Engineering 503
  • Developmental Neuroscience 33
  • Biomedical Engineering 179
Replace Ahmet Bilgili with:
Ahmet Bilgili United States
Timoleon Moraitis Switzerland
Marie Engelene J. Obien Japan
Jarno M. A. Tanskanen Finland
Ted Carnevale United States
Athanasia Papoutsi Greece
Alexey S. Pimashkin Russia
Miloš Radivojević Switzerland
Alessio Paolo Buccino United States
Felix Franke Switzerland
Timothée Levi relative to Ahmet Bilgili United States Ahmet Bilgili's profile →
Citations per field
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Citations per year

Countries citing papers authored by Timothée Levi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Timothée Levi Line = papers co-authored together Timothée Levi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201793
2 202465
3 201363
4 201960
5 201359
6 201947
7 201943
8 201640
9 202040
10 202139
11 201730
12 202229
13 202029
14 201327
15 201425
16 201822
17 201617
18 201715
19 202015
20 202415

About Timothée Levi

Timothée Levi is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering, Biomedical Engineering and Artificial Intelligence, having authored 72 papers that have together received 964 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (44 papers), Neuroscience and Neural Engineering (42 papers), Neural dynamics and brain function (32 papers), EEG and Brain-Computer Interfaces (7 papers), Analog and Mixed-Signal Circuit Design (6 papers), Neural Networks and Applications (4 papers), Neural Networks and Reservoir Computing (4 papers) and Photoreceptor and optogenetics research (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (495 citations), Cognitive Neuroscience (454 citations), Electrical and Electronic Engineering (503 citations), Developmental Neuroscience (33 citations) and Biomedical Engineering (179 citations). Timothée Levi has collaborated with scholars based in France, Japan and Italy. Frequent co-authors include Sylvain Saïghi, Filippo Grassia, Farad Khoyratee, Yoshiho Ikeuchi, Yannick Bornat, Takashi Kohno, Teruo Fujii, Michela Chiappalone, Blaise Yvert and Sébastien Joucla. Their work appears in journals such as Frontiers in Neuroscience, Nature Communications, iScience, Journal of Physiology-Paris and IEEE Transactions on Circuits & Systems II Express Briefs.

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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