Daniel Bennequin
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Embodied and Extended Cognition
- Motor Control and Adaptation
- Visual perception and processing mechanisms
- Numerical Analysis top 10%
Papers in
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- Motor Control and Adaptation 6
- Visual perception and processing mechanisms 5
- Neural dynamics and brain function 5
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- Action Observation and Synchronization 6
- Co-authors
- Alain Berthoz (11 shared papers)Laurence Halpern (2 shared papers)Martin J. Gander (2 shared papers)Kenneth Williford (3 shared papers)David Rudrauf (3 shared papers)Tamar Flash (3 shared papers)Karl Friston (2 shared papers)Youri Timsit (3 shared papers)
- Journals
- Scientific Reports (2 papers)Biological Cybernetics (2 papers)PLoS Computational Biology (2 papers)The Cerebellum (2 papers)Numerische Mathematik (1 paper)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Daniel Bennequin
32 papers receiving 518 citations
Peers
Comparison fields: 5 of 106
- Cognitive Neuroscience 214
- Numerical Analysis 45
- Neurology 45
- Sensory Systems 22
- Computational Theory and Mathematics 70
Countries citing papers authored by Daniel Bennequin
This map shows the geographic impact of Daniel Bennequin'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 Daniel Bennequin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Bennequin more than expected).
Fields of papers citing papers by Daniel Bennequin
This network shows the impact of papers produced by Daniel Bennequin. 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 Daniel Bennequin. The network helps show where Daniel Bennequin may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Bennequin, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 72 | |
| 2 | 2017 | 64 | |
| 3 | 2016 | 51 | |
| 4 | 2009 | 51 | |
| 5 | 2012 | 48 | |
| 6 | 2018 | 42 | |
| 7 | 2021 | 29 | |
| 8 | 2015 | 29 | |
| 9 | 2016 | 24 | |
| 10 | 2007 | 23 | |
| 11 | 2015 | 23 | |
| 12 | 2013 | 11 | |
| 13 | 2019 | 11 | |
| 14 | 2015 | 9 | |
| 15 | 2015 | 6 | |
| 16 | 2015 | 6 | |
| 17 | 2012 | 6 | |
| 18 | 2010 | 6 | |
| 19 | Topologie symplectique, convexité holomorphe et structures de contact | 1990 | 4 |
| 20 | 2020 | 4 |
About Daniel Bennequin
Daniel Bennequin is a scholar working on Cognitive Neuroscience, Social Psychology, Mathematical Physics, Neurology and Sensory Systems, having authored 33 papers that have together received 549 indexed citations. Recurring topics across this work include Action Observation and Synchronization (6 papers), Motor Control and Adaptation (6 papers), Vestibular and auditory disorders (5 papers), Visual perception and processing mechanisms (5 papers), Neural dynamics and brain function (5 papers), Bacterial Genetics and Biotechnology (3 papers), Robot Manipulation and Learning (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Cognitive Neuroscience (214 citations), Numerical Analysis (45 citations), Neurology (45 citations), Sensory Systems (22 citations) and Computational Theory and Mathematics (70 citations). Daniel Bennequin has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Alain Berthoz, Laurence Halpern, Martin J. Gander, Kenneth Williford, David Rudrauf, Tamar Flash, Karl Friston, Youri Timsit, Pierre Baudot and Gregory Landini. Their work appears in journals such as Scientific Reports, Biological Cybernetics, PLoS Computational Biology, The Cerebellum and Numerische Mathematik.
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.