Sébastien Salles

477 total citations
37 papers, 306 citations indexed

About

Sébastien Salles is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Sébastien Salles has authored 37 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Radiology, Nuclear Medicine and Imaging, 26 papers in Biomedical Engineering and 15 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Sébastien Salles's work include Ultrasound Imaging and Elastography (31 papers), Photoacoustic and Ultrasonic Imaging (13 papers) and Advanced MRI Techniques and Applications (12 papers). Sébastien Salles is often cited by papers focused on Ultrasound Imaging and Elastography (31 papers), Photoacoustic and Ultrasonic Imaging (13 papers) and Advanced MRI Techniques and Applications (12 papers). Sébastien Salles collaborates with scholars based in France, Norway and Canada. Sébastien Salles's co-authors include Damien Garcia, Hervé Liebgott, Didier Vray, Fabien Millioz, Denis Friboulet, Alfred C. H. Yu, Adrian J. Y. Chee, Lasse Løvstakken, Hans Torp and Dong Ye and has published in prestigious journals such as European Heart Journal, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Medical Imaging.

In The Last Decade

Sébastien Salles

31 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sébastien Salles France 11 230 187 95 84 20 37 306
Tore Bjåstad Norway 11 439 1.9× 309 1.7× 117 1.2× 208 2.5× 11 0.6× 32 523
Carlos Armando Villagómez Hoyos Denmark 13 401 1.7× 327 1.7× 64 0.7× 150 1.8× 30 1.5× 43 465
C. Perrey Germany 7 272 1.2× 192 1.0× 34 0.4× 113 1.3× 16 0.8× 12 338
H. Torp Norway 9 334 1.5× 216 1.2× 146 1.5× 68 0.8× 23 1.1× 28 421
Annette Caenen Belgium 11 218 0.9× 211 1.1× 121 1.3× 102 1.2× 16 0.8× 46 300
Xunchang Chen United States 6 298 1.3× 209 1.1× 164 1.7× 61 0.7× 30 1.5× 8 403
Russell H. Behler United States 8 247 1.1× 198 1.1× 59 0.6× 76 0.9× 49 2.5× 16 321
I. H. Gerrits Netherlands 8 220 1.0× 163 0.9× 143 1.5× 42 0.5× 40 2.0× 15 310
Pierre Nauleau United States 11 195 0.8× 153 0.8× 160 1.7× 79 0.9× 60 3.0× 27 366
L.Y.L. Mo Canada 9 194 0.8× 155 0.8× 69 0.7× 97 1.2× 96 4.8× 18 314

Countries citing papers authored by Sébastien Salles

Since Specialization
Citations

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

Fields of papers citing papers by Sébastien Salles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sébastien Salles

This figure shows the co-authorship network connecting the top 25 collaborators of Sébastien Salles. A scholar is included among the top collaborators of Sébastien Salles 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 Sébastien Salles. Sébastien Salles 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.
Hingot, Vincent, Arthur Chavignon, Sylvain Bodard, et al.. (2025). Multiparametric ultrasound evaluation of metabolic dysfunction-associated fatty liver disease in minipigs. Ultrasound in Medicine & Biology. 51(10). 1710–1719.
2.
Baranger, Jérôme, Minh B. Nguyen, Seema Mital, et al.. (2025). Towards non-invasive assessment of myocardial work using myocardial stiffness and strain: a human pilot study. European Heart Journal - Cardiovascular Imaging. 26(6). 1051–1064. 1 indexed citations
3.
4.
Dalen, Håvard, et al.. (2023). Mechanical Wave Velocities in Left Ventricular Walls in Healthy Subjects and Patients With Aortic Stenosis. JACC. Cardiovascular imaging. 17(2). 111–124. 7 indexed citations
5.
Løvstakken, Lasse, et al.. (2023). Detection of natural mechanical waves in the heart using Directional Clutter Filter Wave Imaging (DCFWI). SPIRE - Sciences Po Institutional REpository. 1–4. 1 indexed citations
6.
Salles, Sébastien, et al.. (2023). Automated 3D Velocity Estimation of Natural Mechanical Wave Propagation in the Myocardium. SPIRE - Sciences Po Institutional REpository. 3. 210–222. 2 indexed citations
7.
Millioz, Fabien, et al.. (2021). Complex Convolutional Neural Networks for Ultrafast Ultrasound Imaging Reconstruction From In-Phase/Quadrature Signal. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 69(2). 592–603. 31 indexed citations
8.
Renaud, Guillaume & Sébastien Salles. (2021). Single-Sided Ultrasound Imaging of the Bone Cortex: Anatomy, Tissue Characterization and Blood Flow. Advances in experimental medicine and biology. 1364. 197–225. 1 indexed citations
9.
Millioz, Fabien, et al.. (2020). Complex Convolutional Neural Networks for Fast Diverging Wave Imaging. HAL (Le Centre pour la Communication Scientifique Directe). 1–3. 7 indexed citations
10.
Millioz, Fabien, et al.. (2020). Reconstruction for Diverging-Wave Imaging Using Deep Convolutional Neural Networks. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 67(12). 2481–2492. 23 indexed citations
11.
Salles, Sébastien, Svein Arne Aase, Asbjørn Støylen, et al.. (2020). 3D Myocardial Mechanical Wave Measurements. JACC. Cardiovascular imaging. 14(8). 1495–1505. 24 indexed citations
12.
Salles, Sébastien, et al.. (2020). Detection of Tissue Fibrosis using Natural Mechanical Wave Velocity Estimation: Feasibility Study. Ultrasound in Medicine & Biology. 46(9). 2481–2492. 13 indexed citations
13.
Remme, Espen W., Sébastien Salles, John M. Aalen, et al.. (2019). Detection of Regional Mechanical Activation of the Left Ventricular Myocardium Using High Frame Rate Ultrasound Imaging. IEEE Transactions on Medical Imaging. 38(11). 2665–2675. 11 indexed citations
14.
Salles, Sébastien, François Varray, Damien Garcia, Barbara Nicolas, & Hervé Liebgott. (2019). Investigation on 3D high frame rate imaging with motion compensation (MoCo). SPIRE - Sciences Po Institutional REpository. 4. 1274–1277. 3 indexed citations
15.
Salles, Sébastien, et al.. (2017). Comparison of 3D tissue motion estimation methods using transverse oscillations. 2017 IEEE International Ultrasonics Symposium (IUS). 1–1. 1 indexed citations
16.
Salles, Sébastien, et al.. (2016). Estimation of arterial wall motion using ultrafast imaging and transverse oscillations: in vivo study. HAL (Le Centre pour la Communication Scientifique Directe). 1–4. 1 indexed citations
17.
Salles, Sébastien, et al.. (2015). Cardiac Motion estimation based on transverse oscillation and ultrafast diverging wave imaging. HAL (Le Centre pour la Communication Scientifique Directe). 1–4. 2 indexed citations
18.
Zahnd, Guillaume, Sébastien Salles, Hervé Liebgott, et al.. (2015). Real‐time ultrasound‐tagging to track the 2D motion of the common carotid artery wall in vivo. Medical Physics. 42(2). 820–830. 9 indexed citations
19.
Salles, Sébastien, et al.. (2014). Estimation of arterial wall motion using ultrafast imaging with transverse oscillations: Phantom study. 2005. 915–918. 2 indexed citations
20.

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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