Stanislas Chambon
- Cognitive Neuroscience top 5%
- Experimental and Cognitive Psychology top 10%
- Physiology
- Signal Processing top 5%
- Biomedical Engineering
- Co-authors
- Pierrick J. ArnalAlexandre GramfortMathieu GaltierGilles WainribValentin ThoreyEmmanuel MignotMounir ChennaouiEden Debellemanière
- Topics
- Sleep and Wakefulness Research (4 papers)EEG and Brain-Computer Interfaces (4 papers)Time Series Analysis and Forecasting (2 papers)
- Journals
- Frontiers in Human NeuroscienceJournal of Neuroscience MethodsJournal of science and medicine in sport
- Partner nations
- FranceUnited States
In The Last Decade
Stanislas Chambon
5 papers receiving 559 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Cognitive Neuroscience 444
- Experimental and Cognitive Psychology 157
- Physiology 140
- Signal Processing 104
- Biomedical Engineering 88
Countries citing papers authored by Stanislas Chambon
This map shows the geographic impact of Stanislas Chambon'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 Stanislas Chambon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stanislas Chambon more than expected).
Fields of papers citing papers by Stanislas Chambon
This network shows the impact of papers produced by Stanislas Chambon. 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 Stanislas Chambon. The network helps show where Stanislas Chambon may publish in the future.
Co-authorship network of co-authors of Stanislas Chambon
This figure shows the co-authorship network connecting the top 25 collaborators of Stanislas Chambon. A scholar is included among the top collaborators of Stanislas Chambon 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 Stanislas Chambon. Stanislas Chambon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 50 | |
| 3 | 77 | |
| 4 | 0 | |
| 5 | 11 | |
| 6 | A deep learning architecture for temporal sleep stage classification\n using multivariate and multimodal time seriesbreakdown → | 433 |
| 7 | 3 |
About Stanislas Chambon
Stanislas Chambon is a scholar working on Cognitive Neuroscience, Signal Processing and Human-Computer Interaction, having authored 7 papers that have together received 574 indexed citations. Recurring topics across this work include Sleep and Wakefulness Research (4 papers), EEG and Brain-Computer Interfaces (4 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Cognitive Neuroscience (444 citations), Experimental and Cognitive Psychology (157 citations) and Signal Processing (104 citations). Stanislas Chambon has collaborated with scholars based in France and United States. Frequent co-authors include Pierrick J. Arnal, Alexandre Gramfort, Mathieu Galtier, Gilles Wainrib, Valentin Thorey, Emmanuel Mignot, Mounir Chennaoui, Eden Debellemanière, Damien Léger and Pierre Fillard. Their work appears in journals such as Frontiers in Human Neuroscience, Journal of Neuroscience Methods and Journal of science and medicine in sport.
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.