Hervé Rix

47 papers receiving 929 citations

Peers

Hervé Rix
Comparison fields: 5 of 105
  • Cardiology and Cardiovascular Medicine 410
  • Signal Processing 191
  • Cognitive Neuroscience 243
  • Biomedical Engineering 379
  • Cellular and Molecular Neuroscience 74
Replace Zhizhong Wang with:
Zhizhong Wang China
Udo Meyerfeldt Germany
Б. П. Безручко Russia
Saurabh Pal India
Joachim A. Behar Israel
М. Д. Прохоров Russia
Jae Gwan Kim South Korea
Randall L. Barbour United States
Stanley A. Briller United States
Gilwon Yoon South Korea
Hervé Rix relative to Zhizhong Wang China Zhizhong Wang's profile →
Citations per field
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Zhizhong Wang · 1×
Citations per year

Countries citing papers authored by Hervé Rix

Since Specialization
Citations

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

Fields of papers citing papers by Hervé Rix

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001139
2 1992109
3 199696
4 199478
5 201376
6 199175
7 198031
8 200727
9 195426
10 195326
11 199524
12 195323
13 198823
14 199321
15 200517
16 200915
17 198815
18 199514
19 200914
20 200614

About Hervé Rix

Hervé Rix is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering, Signal Processing, Spectroscopy and Cognitive Neuroscience, having authored 52 papers that have together received 994 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (21 papers), Cardiac electrophysiology and arrhythmias (10 papers), Blind Source Separation Techniques (6 papers), Spectroscopy and Chemometric Analyses (5 papers), Analytical Chemistry and Chromatography (5 papers), EEG and Brain-Computer Interfaces (5 papers), Fault Detection and Control Systems (5 papers) and Optical Imaging and Spectroscopy Techniques (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (410 citations), Signal Processing (191 citations), Cognitive Neuroscience (243 citations), Biomedical Engineering (379 citations) and Cellular and Molecular Neuroscience (74 citations). Hervé Rix has collaborated with scholars based in France, Spain and Poland. Frequent co-authors include Olivier Meste, P. Caminal, Nitish V. Thakor, R. Jané, Pablo Laguna, Dario Farina, Roberto Merletti, Eduardo Fortunato, Roman Maniewski and Sofiane Boudaoud. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Signal Processing, The Journal of Chemical Physics, Physics in Medicine and Biology and Journal of High Resolution Chromatography.

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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