Arnaud Sors

455 citations
3 papers · 322 · 1 hit paper · h-index 2

Impact in

Papers in

Arnaud Sors

2 papers receiving 312 citations

Arnaud Sors's Hit Papers

A convolutional neural network for sleep stage scoring from raw single-channel EEG 2018 · 312 citations
3120+2+5Years since publication100200300

Peers

Arnaud Sors
Comparison fields: 5 of 46
  • Cognitive Neuroscience 256
  • Experimental and Cognitive Psychology 90
  • Human-Computer Interaction 28
  • Signal Processing 51
  • Physiology 70
Replace Sébastien Mirek with:
Sébastien Mirek France
Sachin Taran India
Stanislas Chambon France
Chenglu Sun China
Khald A. I. Aboalayon United States
Jacques Prado France
Sahbi Chaibi Tunisia
Edson Estrada United States
Mathias Perslev Denmark
Shayan Motamedi‐Fakhr United Kingdom
Arnaud Sors relative to Sébastien Mirek France Sébastien Mirek's profile →
Citations per field
00.5×1.5×
Sébastien Mirek · 1×
Citations per year

Countries citing papers authored by Arnaud Sors

Since Specialization
Citations

This map shows the geographic impact of Arnaud Sors'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 Arnaud Sors with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arnaud Sors more than expected).

Fields of papers citing papers by Arnaud Sors

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arnaud Sors. 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 Arnaud Sors. The network helps show where Arnaud Sors may publish in the future.

Co-authors

The 8 scholars most cited alongside Arnaud Sors, 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 Arnaud Sors Line = papers co-authored together Arnaud Sors links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1
A convolutional neural network for sleep stage scoring from raw single-channel EEG
Hit paper breakdown →
2018312
2 202210
3 20230

About Arnaud Sors

Arnaud Sors is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Artificial Intelligence, Physiology and Infectious Diseases, having authored 3 papers that have together received 322 indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), EEG and Brain-Computer Interfaces (1 paper), Image Retrieval and Classification Techniques (1 paper), Machine Learning and Data Classification (1 paper) and Sleep and Wakefulness Research (1 paper). The work is most often cited by research in Cognitive Neuroscience (256 citations), Experimental and Cognitive Psychology (90 citations), Human-Computer Interaction (28 citations), Signal Processing (51 citations) and Physiology (70 citations). Arnaud Sors has collaborated with scholars based in Netherlands, South Korea and France. Frequent co-authors include Sébastien Mirek, Jean‐François Payen, Laurent Vercueil, Stéphane Bonnet, Rafael Sampaio de Rezende, Stéphane Clinchant, Jean‐Marc Andreoli and Florian Mai. Their work appears in journals such as Biomedical Signal Processing and Control and 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

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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