Stanislas Chambon

937 citations
7 papers · 574 indexed · 1 hit paper · h-index 4

Stanislas Chambon

5 papers receiving 559 citations

Hit Papers

A deep learning architecture for temporal sleep stage cla...4332017202620202023100200300400

Peers

Stanislas Chambon
Comparison fields: 5 of 72
  • Cognitive Neuroscience 444
  • Experimental and Cognitive Psychology 157
  • Signal Processing 104
  • Human-Computer Interaction 45
  • Physiology 140
Replace Tarek Lajnef with:
Tarek Lajnef Canada
Khald A. I. Aboalayon United States
Chih‐En Kuo Taiwan
Sajad Mousavi United States
Arnaud Sors Netherlands
Sébastien Mirek France
Takashi Nakamura United Kingdom
Bijoy Laxmi Koley India
Farideh Ebrahimi Iran
Navin Cooray United Kingdom
Stanislas Chambon relative to Tarek Lajnef Canada Tarek Lajnef's profile →
Citations per field
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Tarek Lajnef · 1×
Citations per year

Countries citing papers authored by Stanislas Chambon

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 12 scholars most cited alongside Stanislas Chambon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stanislas Chambon Line = papers co-authored together Stanislas Chambon links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 20220
2 201950
3 201877
4 20180
5 201811
6
A deep learning architecture for temporal sleep stage classification\n using multivariate and multimodal time seriesbreakdown →
2017433
7 20173

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), Time Series Analysis and Forecasting (2 papers), AI in cancer detection (1 paper), Neonatal and fetal brain pathology (1 paper), Colorectal Cancer Screening and Detection (1 paper), Non-Invasive Vital Sign Monitoring (1 paper) and Gaze Tracking and Assistive Technology (1 paper). 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.

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