Frédéric Marin

2.2k total citations
115 papers, 1.5k citations indexed

About

Frédéric Marin is a scholar working on Biomedical Engineering, Surgery and Orthopedics and Sports Medicine. According to data from OpenAlex, Frédéric Marin has authored 115 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Biomedical Engineering, 24 papers in Surgery and 18 papers in Orthopedics and Sports Medicine. Recurrent topics in Frédéric Marin's work include Muscle activation and electromyography studies (24 papers), Sports Performance and Training (14 papers) and Veterinary Equine Medical Research (12 papers). Frédéric Marin is often cited by papers focused on Muscle activation and electromyography studies (24 papers), Sports Performance and Training (14 papers) and Veterinary Equine Medical Research (12 papers). Frédéric Marin collaborates with scholars based in France, Germany and United States. Frédéric Marin's co-authors include Lutz Dürselen, Nicolas Vignais, Gabriele Bleser, Katharina Mura, Markus Miezal, L. Claes, Dominic Gorecky, Christophe Egles, Marie‐Christine Ho Ba Tho and Sofiane Boudaoud and has published in prestigious journals such as PLoS ONE, Journal of Biomechanics and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Frédéric Marin

106 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frédéric Marin France 20 602 407 229 192 182 115 1.5k
Jia‐Hua Lin United States 22 610 1.0× 245 0.6× 561 2.4× 28 0.1× 443 2.4× 101 1.4k
António Veloso Portugal 20 538 0.9× 390 1.0× 117 0.5× 305 1.6× 31 0.2× 116 1.4k
Sivakumar Balasubramanian India 18 1.0k 1.7× 106 0.3× 138 0.6× 46 0.2× 72 0.4× 65 2.0k
Patrick Rider United States 23 1.6k 2.7× 357 0.9× 78 0.3× 91 0.5× 45 0.2× 53 2.4k
Myung‐Chul Jung South Korea 18 371 0.6× 191 0.5× 344 1.5× 36 0.2× 401 2.2× 83 1.1k
Jorge M. Zuñiga United States 25 1.1k 1.8× 172 0.4× 87 0.4× 131 0.7× 46 0.3× 111 2.1k
Stefano Rossi Italy 25 1.2k 2.0× 156 0.4× 102 0.4× 47 0.2× 82 0.5× 119 2.1k
Sheldon R. Simon United States 28 1.4k 2.3× 970 2.4× 572 2.5× 30 0.2× 251 1.4× 49 3.5k
Ahmet Erdemir United States 19 1.1k 1.9× 885 2.2× 94 0.4× 33 0.2× 34 0.2× 69 2.0k
Paul Allard Canada 34 1.9k 3.2× 1.5k 3.7× 430 1.9× 40 0.2× 128 0.7× 118 4.1k

Countries citing papers authored by Frédéric Marin

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Marin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frédéric Marin

This figure shows the co-authorship network connecting the top 25 collaborators of Frédéric Marin. A scholar is included among the top collaborators of Frédéric Marin 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 Frédéric Marin. Frédéric Marin 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.
Marin, Frédéric, et al.. (2025). Description and Analysis of Horse Swimming Strategies in a U-Shaped Pool. Animals. 15(2). 195–195.
2.
Denoix, Jean‐Marie, Virginie Coudry, Sandrine Jacquet, et al.. (2025). Discrimination of the Lame Limb in Horses Using a Machine Learning Method (Support Vector Machine) Based on Asymmetry Indices Measured by the EQUISYM System. Sensors. 25(4). 1095–1095. 1 indexed citations
3.
Charleux, Fabrice, et al.. (2024). Effects of Moderate and Heavy Slow Resistance Training on Achilles and Patellar Tendons and Muscles Aponeuroses in Elderly Men. Scandinavian Journal of Medicine and Science in Sports. 34(11). e14766–e14766.
4.
5.
Marie, Jean‐Paul, et al.. (2023). Quantified analysis of facial movement: A reference for clinical applications. Clinical Anatomy. 36(3). 492–502. 6 indexed citations
6.
Sahbani, Anis, et al.. (2022). ABSTRACTS 47th congress of the Society of Biomechanics. Computer Methods in Biomechanics & Biomedical Engineering. 25(sup1). S1–S307. 4 indexed citations
7.
8.
Boudaoud, Sofiane, et al.. (2019). Optimized scoring tool to quantify the functional performance during the sit-to-stand transition with a magneto-inertial measurement unit. Clinical Biomechanics. 69. 109–114. 14 indexed citations
9.
Marcolin, Federica, et al.. (2019). Optimal marker set assessment for motion capture of 3D mimic facial movements. Journal of Biomechanics. 93. 86–93. 21 indexed citations
10.
Château, Henry, et al.. (2019). Sizing of inertial sensors adapted to measurement of locomotor parameters in horses using motion capture. Computer Methods in Biomechanics & Biomedical Engineering. 22(sup1). S105–S106. 2 indexed citations
11.
Marcolin, Federica, et al.. (2018). What is the best set of markers for facial movements recognition?. Annals of Physical and Rehabilitation Medicine. 61. e455–e456. 4 indexed citations
12.
Boudaoud, Sofiane, et al.. (2017). Analysis of the sEMG/force relationship using HD-sEMG technique and data fusion: A simulation study. Computers in Biology and Medicine. 83. 34–47. 26 indexed citations
13.
Boudaoud, Sofiane, et al.. (2017). Investigation of the HD-sEMG probability density function shapes with varying muscle force using data fusion and shape descriptors. Computers in Biology and Medicine. 89. 44–58. 11 indexed citations
14.
Marin, Frédéric, et al.. (2016). Virtual shaker testing at V2i: measured-based shaker model and industrial test case. Open Repository and Bibliography (University of Liège). 2 indexed citations
15.
Gómez, F., et al.. (2014). Measurement Techniques of Torsional Vibration inRotating Shafts. Digital Repository (Polytechnic University of Cartagena). 44(2). 85–104. 3 indexed citations
16.
Devauchelle, B., et al.. (2014). Analysis of mimic facial movements based on motion capture. Computer Methods in Biomechanics & Biomedical Engineering. 17(sup1). 78–79. 8 indexed citations
17.
Dinis, Tony, Guillaume Vidal, Pascale Vigneron, et al.. (2014). Complementary Effects of Two Growth Factors in Multifunctionalized Silk Nanofibers for Nerve Reconstruction. PLoS ONE. 9(10). e109770–e109770. 53 indexed citations
18.
Lazáry, Áron, et al.. (2012). A non invasive protocol for thein vivoestimation of lumbar spine kinematics. Computer Methods in Biomechanics & Biomedical Engineering. 15(sup1). 200–202.
19.
Poncelet, Fabien, Gaëtan Kerschen, Jean‐Claude Golinval, & Frédéric Marin. (2007). Blind source separation techniques - Another way of doing operational modal analysis. Open Repository and Bibliography (University of Liège).
20.
Poncelet, Fabien, Frédéric Marin, Claude Fleury, & Jean‐Claude Golinval. (2005). Optimal design of fixtures for vibration testing of structures on electro-dynamic shaker. Open Repository and Bibliography (University of Liège). 4 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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