François Varray

1.6k total citations
93 papers, 990 citations indexed

About

François Varray is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Mechanics of Materials. According to data from OpenAlex, François Varray has authored 93 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Radiology, Nuclear Medicine and Imaging, 71 papers in Biomedical Engineering and 51 papers in Mechanics of Materials. Recurrent topics in François Varray's work include Ultrasound Imaging and Elastography (68 papers), Photoacoustic and Ultrasonic Imaging (55 papers) and Ultrasonics and Acoustic Wave Propagation (42 papers). François Varray is often cited by papers focused on Ultrasound Imaging and Elastography (68 papers), Photoacoustic and Ultrasonic Imaging (55 papers) and Ultrasonics and Acoustic Wave Propagation (42 papers). François Varray collaborates with scholars based in France, Italy and United States. François Varray's co-authors include Maxime Polichetti, Damien Garcia, Vincent Perrot, Christian Cachard, Piero Tortoli, Hervé Liebgott, Lorena Petrusca, Olivier Basset, Jean-Christophe Béra and Didier Vray and has published in prestigious journals such as Langmuir, Scientific Reports and The Journal of the Acoustical Society of America.

In The Last Decade

François Varray

83 papers receiving 970 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
François Varray France 16 735 706 480 64 52 93 990
Sevan Harput United Kingdom 18 906 1.2× 1.0k 1.4× 295 0.6× 87 1.4× 22 0.4× 104 1.3k
Christian Cachard France 14 483 0.7× 470 0.7× 265 0.6× 59 0.9× 62 1.2× 49 742
Jesse T. Yen United States 18 811 1.1× 654 0.9× 472 1.0× 159 2.5× 36 0.7× 86 1.0k
Morten Høgholm Pedersen Denmark 8 676 0.9× 587 0.8× 499 1.0× 65 1.0× 21 0.4× 11 893
K.L. Gammelmark Denmark 12 1.1k 1.5× 885 1.3× 784 1.6× 139 2.2× 43 0.8× 21 1.3k
T. Misaridis Denmark 9 648 0.9× 521 0.7× 522 1.1× 109 1.7× 17 0.3× 14 908
Richard Y. Chiao United States 12 728 1.0× 665 0.9× 497 1.0× 99 1.5× 63 1.2× 23 1.1k
Nick Bottenus United States 16 687 0.9× 612 0.9× 293 0.6× 22 0.3× 20 0.4× 74 851
Morten Fischer Rasmussen Denmark 13 621 0.8× 514 0.7× 407 0.8× 192 3.0× 24 0.5× 26 808
David M. J. Cowell United Kingdom 15 374 0.5× 420 0.6× 295 0.6× 159 2.5× 19 0.4× 97 765

Countries citing papers authored by François Varray

Since Specialization
Citations

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

Fields of papers citing papers by François Varray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of François Varray

This figure shows the co-authorship network connecting the top 25 collaborators of François Varray. A scholar is included among the top collaborators of François Varray 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 François Varray. François Varray 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
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Basarab, Adrian, et al.. (2024). An Inverse Method Using Cross-Spectral Matrix Fitting for Passive Cavitation Imaging. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 71(8). 995–1005. 2 indexed citations
3.
Guidi, Francesco, et al.. (2024). Computationally Efficient SVD Filtering for Ultrasound Flow Imaging and Real-Time Application to Ultrafast Doppler. IEEE Transactions on Biomedical Engineering. 72(3). 921–929.
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Millioz, Fabien, François Varray, Jonathan Porée, et al.. (2023). Ultrafast Cardiac Imaging Using Deep Learning for Speckle-Tracking Echocardiography. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 70(12). 1761–1772. 8 indexed citations
7.
Basarab, Adrian, et al.. (2023). Cross-spectral matrix fitting for passive mapping of the ultrasonic cavitation based on Elastic-net regularization. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
8.
Nicolas, Barbara, et al.. (2023). Experimental demonstration of 3D passive cavitation imaging using adaptive beamforming. The Journal of the Acoustical Society of America. 153(3_supplement). A269–A269. 1 indexed citations
9.
Liebgott, Hervé, et al.. (2022). Sensitivity Enhancement Using Chirp Transmission for an Ultrasound Arthroscopic Probe. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 69(10). 2776–2784. 2 indexed citations
10.
Gröhl, Janek, Lina Hacker, Ben Cox, et al.. (2022). The IPASC data format: A consensus data format for photoacoustic imaging. Photoacoustics. 26. 100339–100339. 8 indexed citations
11.
Varray, François, et al.. (2021). Measurement of local orientation of cardiomyocyte aggregates in human left ventricle free wall samples using X-ray phase-contrast microtomography. Medical Image Analysis. 75. 102269–102269. 5 indexed citations
12.
Cammas‐Marion, Sandrine, Didier Vray, François Varray, et al.. (2019). Liposomes Containing Nickel–Bis(dithiolene) Complexes for Photothermal Theranostics. Langmuir. 35(47). 15121–15130. 11 indexed citations
13.
Roux, Emmanuel, François Varray, Lorena Petrusca, et al.. (2018). Experimental 3-D Ultrasound Imaging with 2-D Sparse Arrays using Focused and Diverging Waves. Scientific Reports. 8(1). 9108–9108. 77 indexed citations
14.
Varray, François, J. Boutet, Jean‐Marc Dinten, et al.. (2017). Quantitative comparison of PZT and CMUT probes for photoacoustic imaging: Experimental validation. Photoacoustics. 8. 48–58. 45 indexed citations
15.
Varray, François, et al.. (2017). Extraction of the 3D local orientation of myocytes in human cardiac tissue using X-ray phase-contrast micro-tomography and multi-scale analysis. Medical Image Analysis. 38. 117–132. 23 indexed citations
16.
Varray, François, et al.. (2015). Dual Frequency Band Annular Probe for Volumetric Pulse-echo Optoacoustic Imaging. Physics Procedia. 70. 1104–1108. 5 indexed citations
17.
Varray, François, Olivier Basset, Piero Tortoli, & Christian Cachard. (2013). CREANUIS: A Non-linear Radiofrequency Ultrasound Image Simulator. Ultrasound in Medicine & Biology. 39(10). 1915–1924. 38 indexed citations
18.
Varray, François, Alessandro Ramalli, C. Cachard, Piero Tortoli, & O. Basset. (2011). Fundamental and second-harmonic ultrasound field computation of inhomogeneous nonlinear medium with a generalized angular spectrum method. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 58(7). 1366–1376. 39 indexed citations
19.
Varray, François, O. Basset, Piero Tortoli, & C. Cachard. (2011). Extensions of nonlinear B/A parameter imaging methods for echo mode. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 58(6). 1232–1244. 26 indexed citations
20.
Varray, François, et al.. (2010). Nonlinear radio frequency image simulation for harmonic imaging: Creanuis. HAL (Le Centre pour la Communication Scientifique Directe). 2179–2182. 7 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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