Michel Besserve
- Cognitive Neuroscience top 2%
- Cellular and Molecular Neuroscience top 5%
- Experimental and Cognitive Psychology top 10%
- Artificial Intelligence
- Cardiology and Cardiovascular Medicine
- Co-authors
- Nikos K. LogothetisJacques MartinerieYusuke MurayamaHC EvrardA OeltermannOxana EschenkoM AugathT Steudel
- Topics
- Neural dynamics and brain function (23 papers)EEG and Brain-Computer Interfaces (11 papers)Functional Brain Connectivity Studies (10 papers)
- Cited by
- Cognitive NeuroscienceCellular and Molecular NeuroscienceExperimental and Cognitive Psychology
- Partner nations
- GermanyUnited KingdomFrance
In The Last Decade
Michel Besserve
31 papers receiving 921 citations
Peers
Comparison fields: 5 of 81
- Cognitive Neuroscience 816
- Cellular and Molecular Neuroscience 361
- Experimental and Cognitive Psychology 84
- Artificial Intelligence 57
- Cardiology and Cardiovascular Medicine 48
Countries citing papers authored by Michel Besserve
This map shows the geographic impact of Michel Besserve'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 Michel Besserve with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michel Besserve more than expected).
Fields of papers citing papers by Michel Besserve
This network shows the impact of papers produced by Michel Besserve. 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 Michel Besserve. The network helps show where Michel Besserve may publish in the future.
Co-authorship network of co-authors of Michel Besserve
This figure shows the co-authorship network connecting the top 25 collaborators of Michel Besserve. A scholar is included among the top collaborators of Michel Besserve based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michel Besserve. Michel Besserve is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 49 | |
| 4 | 6 | |
| 5 | 36 | |
| 6 | 1 | |
| 7 | 12 | |
| 8 | 18 | |
| 9 | 80 | |
| 10 | 4 | |
| 11 | Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators. | 6 |
| 12 | 299 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 30 | |
| 16 | 44 | |
| 17 | 4 | |
| 18 | 2 | |
| 19 | 22 | |
| 20 | 66 |
About Michel Besserve
Michel Besserve is a scholar working on Cognitive Neuroscience, Signal Processing and Cellular and Molecular Neuroscience, having authored 33 papers that have together received 947 indexed citations. Recurring topics across this work include Neural dynamics and brain function (23 papers), EEG and Brain-Computer Interfaces (11 papers) and Functional Brain Connectivity Studies (10 papers). The work is most often cited by research in Cognitive Neuroscience (816 citations), Cellular and Molecular Neuroscience (361 citations) and Experimental and Cognitive Psychology (84 citations). Michel Besserve has collaborated with scholars based in Germany, United Kingdom and France. Frequent co-authors include Nikos K. Logothetis, Jacques Martinerie, Yusuke Murayama, HC Evrard, A Oeltermann, Oxana Eschenko, M Augath, T Steudel, Bernhard Schölkopf and Stefano Panzeri. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.
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.