Timothée Leleu
Impact in
- Artificial Intelligence top 5%
- Quantum Computing Algorithms and Architecture
- Neural Networks and Reservoir Computing
- Quantum Information and Cryptography
Papers in
-
- Quantum Computing Algorithms and Architecture 8
- Neural Networks and Reservoir Computing 8
- Quantum Information and Cryptography 5
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- Neural dynamics and brain function 5
- Co-authors
- Y. Yamamoto (7 shared papers)Kazuyuki Aihara (10 shared papers)Satoshi Kako (3 shared papers)Hiroki Takesue (3 shared papers)M. M. Fejer (2 shared papers)Peter L. McMahon (1 shared paper)Ken‐ichi Kawarabayashi (2 shared papers)Kyo Inoue (2 shared papers)
- Journals
- npj Quantum Information (2 papers)Communications Physics (2 papers)Neural Computation (2 papers)Advanced Quantum Technologies (2 papers)Physical Review Letters (1 paper)
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Timothée Leleu
13 papers receiving 401 citations
Peers
Comparison fields: 5 of 31
- Artificial Intelligence 340
- Acoustics and Ultrasonics 3
- Electrical and Electronic Engineering 134
- Atomic and Molecular Physics, and Optics 72
- Computational Theory and Mathematics 29
Countries citing papers authored by Timothée Leleu
This map shows the geographic impact of Timothée Leleu'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 Leleu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothée Leleu more than expected).
Fields of papers citing papers by Timothée Leleu
This network shows the impact of papers produced by Timothée Leleu. 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 Leleu. The network helps show where Timothée Leleu may publish in the future.
Co-authors
The 25 scholars most cited alongside Timothée Leleu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 152 | |
| 2 | 2019 | 76 | |
| 3 | 2017 | 55 | |
| 4 | 2021 | 37 | |
| 5 | 2020 | 33 | |
| 6 | 2021 | 29 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 7 | |
| 9 | 2012 | 4 | |
| 10 | 2015 | 3 | |
| 11 | 2018 | 1 | |
| 12 | 2013 | 1 | |
| 13 | 2013 | 1 | |
| 14 | Spatial Recursive Partitioning Achieved by Equally Partitioned and Optimally Distributed Clustering. | 2010 | 0 |
| 15 | 2017 | 0 | |
| 16 | 2010 | 0 |
About Timothée Leleu
Timothée Leleu is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Computer Networks and Communications, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics, having authored 16 papers that have together received 408 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (8 papers), Neural Networks and Reservoir Computing (8 papers), Neural dynamics and brain function (5 papers), Quantum Information and Cryptography (5 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Advanced Memory and Neural Computing (2 papers), stochastic dynamics and bifurcation (2 papers) and Advanced Thermodynamics and Statistical Mechanics (1 paper). The work is most often cited by research in Artificial Intelligence (340 citations), Acoustics and Ultrasonics (3 citations), Electrical and Electronic Engineering (134 citations), Atomic and Molecular Physics, and Optics (72 citations) and Computational Theory and Mathematics (29 citations). Timothée Leleu has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Y. Yamamoto, Kazuyuki Aihara, Satoshi Kako, Hiroki Takesue, M. M. Fejer, Peter L. McMahon, Ken‐ichi Kawarabayashi, Kyo Inoue, Shoko Utsunomiya and Yoshitaka Inui. Their work appears in journals such as npj Quantum Information, Communications Physics, Neural Computation, Advanced Quantum Technologies and Physical Review Letters.
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.