Bruno Cessac
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
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- stochastic dynamics and bifurcation
Papers in
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- Neural dynamics and brain function 42
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- stochastic dynamics and bifurcation 21
- Co-authors
- Mathias Quoy (9 shared papers)Manuel Samuelides (8 shared papers)B. Doyon (7 shared papers)Thierry Viéville (7 shared papers)Tyll Krüger (4 shared papers)Bruno Delord (3 shared papers)Hugues Berry (3 shared papers)Hélène Paugam‐Moisy (1 shared paper)
- Journals
- BMC Neuroscience (5 papers)Journal of Physiology-Paris (4 papers)Neural Computation (4 papers)Journal of Statistical Physics (3 papers)Physica D Nonlinear Phenomena (3 papers)
- Partner nations
- FranceGermanyUnited Kingdom
In The Last Decade
Bruno Cessac
55 papers receiving 772 citations
Peers
Comparison fields: 5 of 89
- Cognitive Neuroscience 530
- Statistical and Nonlinear Physics 314
- Cellular and Molecular Neuroscience 145
- Artificial Intelligence 215
- Computer Networks and Communications 118
Countries citing papers authored by Bruno Cessac
This map shows the geographic impact of Bruno Cessac'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 Bruno Cessac with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruno Cessac more than expected).
Fields of papers citing papers by Bruno Cessac
This network shows the impact of papers produced by Bruno Cessac. 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 Bruno Cessac. The network helps show where Bruno Cessac may publish in the future.
Co-authors
The 25 scholars most cited alongside Bruno Cessac, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 72 | |
| 2 | 2020 | 68 | |
| 3 | 1994 | 51 | |
| 4 | 2007 | 50 | |
| 5 | 2009 | 50 | |
| 6 | 2007 | 50 | |
| 7 | 1998 | 39 | |
| 8 | 2006 | 29 | |
| 9 | 2000 | 28 | |
| 10 | 2007 | 27 | |
| 11 | 2017 | 26 | |
| 12 | 2008 | 24 | |
| 13 | A view of Neural Networks as dynamical systems | 2012 | 24 |
| 14 | 1994 | 19 | |
| 15 | 2013 | 17 | |
| 16 | 2007 | 16 | |
| 17 | 2017 | 14 | |
| 18 | 2014 | 14 | |
| 19 | 2019 | 13 | |
| 20 | 2004 | 13 |
About Bruno Cessac
Bruno Cessac is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Artificial Intelligence, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience, having authored 58 papers that have together received 806 indexed citations. Recurring topics across this work include Neural dynamics and brain function (42 papers), Neural Networks and Applications (22 papers), stochastic dynamics and bifurcation (21 papers), Advanced Memory and Neural Computing (13 papers), Neuroscience and Neural Engineering (7 papers), Theoretical and Computational Physics (7 papers), Photoreceptor and optogenetics research (6 papers) and Complex Systems and Time Series Analysis (5 papers). The work is most often cited by research in Cognitive Neuroscience (530 citations), Statistical and Nonlinear Physics (314 citations), Cellular and Molecular Neuroscience (145 citations), Artificial Intelligence (215 citations) and Computer Networks and Communications (118 citations). Bruno Cessac has collaborated with scholars based in France, Germany and United Kingdom. Frequent co-authors include Mathias Quoy, Manuel Samuelides, B. Doyon, Thierry Viéville, Tyll Krüger, Bruno Delord, Hugues Berry, Hélène Paugam‐Moisy, Rodrigo Cofré and Jacques-Alexandre Sepulchre. Their work appears in journals such as BMC Neuroscience, Journal of Physiology-Paris, Neural Computation, Journal of Statistical Physics and Physica D Nonlinear Phenomena.
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.