Philippe Ravier

1.3k total citations
90 papers, 722 citations indexed

About

Philippe Ravier is a scholar working on Biomedical Engineering, Signal Processing and Cognitive Neuroscience. According to data from OpenAlex, Philippe Ravier has authored 90 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Biomedical Engineering, 23 papers in Signal Processing and 18 papers in Cognitive Neuroscience. Recurrent topics in Philippe Ravier's work include Muscle activation and electromyography studies (18 papers), Blind Source Separation Techniques (13 papers) and EEG and Brain-Computer Interfaces (12 papers). Philippe Ravier is often cited by papers focused on Muscle activation and electromyography studies (18 papers), Blind Source Separation Techniques (13 papers) and EEG and Brain-Computer Interfaces (12 papers). Philippe Ravier collaborates with scholars based in France, Algeria and Vietnam. Philippe Ravier's co-authors include Olivier Buttelli, Pierre‐Olivier Amblard, Dario Farina, F. Leclerc, Meryem Jabloun, Rachid Harba, Lars Arendt‐Nielsen, Pascal Madeleine, Rachid Jennane and Antonio Dávalos and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Methods in Applied Mechanics and Engineering and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Philippe Ravier

82 papers receiving 685 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Philippe Ravier France 14 223 166 99 99 88 90 722
Bilal Fadlallah United States 6 171 0.8× 234 1.4× 97 1.0× 119 1.2× 84 1.0× 13 912
D. Narayana Dutt India 16 150 0.7× 412 2.5× 194 2.0× 177 1.8× 40 0.5× 64 829
M. Emin Tağluk Türkiye 15 110 0.5× 160 1.0× 32 0.3× 62 0.6× 158 1.8× 55 704
Hongxing Liu China 18 143 0.6× 400 2.4× 252 2.5× 137 1.4× 77 0.9× 94 958
Hsien–Tsai Wu Taiwan 18 407 1.8× 92 0.6× 489 4.9× 309 3.1× 71 0.8× 91 1.2k
Jun Zhuang United States 6 196 0.9× 370 2.2× 165 1.7× 71 0.7× 107 1.2× 18 838
Domenico Labate Italy 9 118 0.5× 369 2.2× 174 1.8× 126 1.3× 55 0.6× 11 673
Wajid Aziz Pakistan 22 207 0.9× 192 1.2× 273 2.8× 102 1.0× 111 1.3× 66 1.4k
Etem Köklükaya Türkiye 14 102 0.5× 350 2.1× 115 1.2× 157 1.6× 89 1.0× 45 736
Wangxin Yu China 4 258 1.2× 455 2.7× 355 3.6× 142 1.4× 277 3.1× 7 1.4k

Countries citing papers authored by Philippe Ravier

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Ravier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philippe Ravier

This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Ravier. A scholar is included among the top collaborators of Philippe Ravier 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 Philippe Ravier. Philippe Ravier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ravier, Philippe, et al.. (2025). Mutual Information-based Feature Selection Strategy for Speech Emotion Recognition using Machine Learning Algorithms Combined with the Voting Rules Method. Engineering Technology & Applied Science Research. 15(1). 19207–19213. 1 indexed citations
2.
Thanh, Le Trung, Karim Abed‐Meraim, Nguyen Linh Trung, et al.. (2025). Tensor-based higher-order multivariate singular spectrum analysis and applications to multichannel biomedical signal analysis. Signal Processing. 238. 110113–110113.
3.
Thanh, Le Trung, Karim Abed‐Meraim, Philippe Ravier, Olivier Buttelli, & Aleš Holobar. (2024). Tensor decomposition meets blind source separation. Signal Processing. 221. 109483–109483. 5 indexed citations
4.
Ravier, Philippe, et al.. (2024). Impact of PCA Pre-Normalization Methods on Ground Reaction Force Estimation Accuracy. Sensors. 24(4). 1137–1137. 7 indexed citations
5.
6.
Jabloun, Meryem, Olivier Buttelli, & Philippe Ravier. (2024). Legendre Polynomial Fitting-Based Permutation Entropy Offers New Insights into the Influence of Fatigue on Surface Electromyography (sEMG) Signal Complexity. Entropy. 26(10). 831–831. 1 indexed citations
7.
Ravier, Philippe, et al.. (2024). Relevant Multi Domain Features Selection Based on Mutual Information for Heart Sound Classification. SPIRE - Sciences Po Institutional REpository. 4 indexed citations
8.
Ravier, Philippe, et al.. (2023). Feature selection algorithms highlight the importance of the systolic segment for normal/murmur PCG beat classification. Biomedical Signal Processing and Control. 86. 105288–105288. 9 indexed citations
9.
Jabloun, Meryem, Philippe Ravier, & Olivier Buttelli. (2023). Improving of the interpretation of linear filtering preprocessing-based multiscale permutation entropy. 74. 190–194. 1 indexed citations
10.
Ravier, Philippe, et al.. (2023). Feature Selection Algorithms Highlight the Importance of the Systolic Segment for Normal/Murmur Pcg Beat Classification. SSRN Electronic Journal. 1 indexed citations
11.
Ravier, Philippe, et al.. (2019). Mutual Information Based Feature Selection for Fingerprint Identification. Informatica. 43(2). 5 indexed citations
12.
Jacques, Sébastien, et al.. (2018). Improved Power Quality in an Innovative Bidirectional Inverter Topology. SPIRE - Sciences Po Institutional REpository. 2 indexed citations
13.
Jacques, Sébastien, et al.. (2018). Improved Power Quality in an Innovative Bidirectional Inverter Topology. Renewable Energy and Power Quality Journal. 1. 193–196. 1 indexed citations
14.
Ravier, Philippe, et al.. (2016). Assessment of the non-Gaussianity and non-linearity levels of simulated sEMG signals on stationary segments. Journal of Electromyography and Kinesiology. 32. 70–82. 10 indexed citations
15.
Buttelli, Olivier, Ross Parry, Meryem Jabloun, et al.. (2014). Methodological considerations about motor activity tracking in real life Settings. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
16.
Ravier, Philippe, et al.. (2011). The generalized correlation methods for estimation of time delay with application to electromyography. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
17.
Zarka, P., А. А. Коноваленко, G. Fischer, et al.. (2009). Ground-based study of Saturn lightning discharges. 4. 497.
18.
Ravier, Philippe, et al.. (2008). The vastus lateralis neuromuscular activity during all-out cycling exercise. Journal of Electromyography and Kinesiology. 19(5). 922–930. 10 indexed citations
19.
Madeleine, Pascal, F. Leclerc, Lars Arendt‐Nielsen, Philippe Ravier, & Dario Farina. (2006). Experimental muscle pain changes the spatial distribution of upper trapezius muscle activity during sustained contraction. Clinical Neurophysiology. 117(11). 2436–2445. 112 indexed citations
20.
Ravier, Philippe, et al.. (2004). An EMG fractal indicator having different sensitivities to changes in force and muscle fatigue during voluntary static muscle contractions. Journal of Electromyography and Kinesiology. 15(2). 210–221. 54 indexed citations

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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