Yannick Benezeth

2.8k citations
58 papers · 1.7k · 1 hit paper · h-index 18

Impact in

Papers in

Yannick Benezeth

52 papers receiving 1.7k citations

Yannick Benezeth's Hit Papers

Unsupervised skin tissue segmentation for remote photoplethysmography 2017 · 359 citations
3590+3+6Years since publication100200300

Peers

Yannick Benezeth
Comparison fields: 5 of 116
  • Computer Vision and Pattern Recognition 619
  • Cardiology and Cardiovascular Medicine 487
  • Biomedical Engineering 798
  • Artificial Intelligence 383
  • Building and Construction 127
Replace Naimul Khan with:
Naimul Khan Canada
Giovanna Sannino Italy
David Menotti Brazil
M. Zhao United States
Celia Shahnaz Bangladesh
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Haoyu Wu China
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Citations per year

Countries citing papers authored by Yannick Benezeth

Since Specialization
Citations

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

Fields of papers citing papers by Yannick Benezeth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yannick Benezeth, 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 Yannick Benezeth Line = papers co-authored together Yannick Benezeth links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Unsupervised skin tissue segmentation for remote photoplethysmography
Hit paper breakdown →
2017359
2 2008212
3 2010186
4 2009130
5 2009108
6 2021102
7 201273
8 201847
9 201845
10 201041
11 201337
12 201436
13 202234
14 202026
15 202024
16 201421
17 200920
18 202017
19 201816
20 201915

About Yannick Benezeth

Yannick Benezeth is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition, Artificial Intelligence and Surgery, having authored 58 papers that have together received 1.7k indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (19 papers), Heart Rate Variability and Autonomic Control (12 papers), Video Surveillance and Tracking Methods (9 papers), ECG Monitoring and Analysis (8 papers), Anomaly Detection Techniques and Applications (7 papers), EEG and Brain-Computer Interfaces (7 papers), Hemodynamic Monitoring and Therapy (6 papers) and Speech and Audio Processing (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (619 citations), Cardiology and Cardiovascular Medicine (487 citations), Biomedical Engineering (798 citations), Artificial Intelligence (383 citations) and Building and Construction (127 citations). Yannick Benezeth has collaborated with scholars based in France, Japan and China. Frequent co-authors include Christophe Rosenberger, Pierre‐Marc Jodoin, Richard Macwan, Alamin Mansouri, Bruno Emile, Hélène Laurent, Julien Dubois, Venkatesh Saligrama, Fan Yang and Damien Brulin. Their work appears in journals such as Biomedical Signal Processing and Control, Applied Sciences, Ocean Engineering, BioMedical Engineering OnLine and IEEE Transactions on Affective Computing.

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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