Didier Vray

1.6k total citations
86 papers, 1.1k citations indexed

About

Didier Vray is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Didier Vray has authored 86 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Radiology, Nuclear Medicine and Imaging, 52 papers in Biomedical Engineering and 26 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Didier Vray's work include Ultrasound Imaging and Elastography (50 papers), Photoacoustic and Ultrasonic Imaging (38 papers) and Cardiovascular Health and Disease Prevention (21 papers). Didier Vray is often cited by papers focused on Ultrasound Imaging and Elastography (50 papers), Photoacoustic and Ultrasonic Imaging (38 papers) and Cardiovascular Health and Disease Prevention (21 papers). Didier Vray collaborates with scholars based in France, Canada and Italy. Didier Vray's co-authors include Philippe Delachartre, Hervé Liebgott, Élisabeth Brusseau, J. Fromageau, G. Gimenez, Guillaume Zahnd, André Sérusclat, Philippe Moulin, Sébastien Salles and Damien Garcia and has published in prestigious journals such as Langmuir, The Journal of the Acoustical Society of America and Optics Letters.

In The Last Decade

Didier Vray

83 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Didier Vray France 17 716 638 398 250 218 86 1.1k
Billy Y. S. Yiu Canada 18 760 1.1× 732 1.1× 268 0.7× 130 0.5× 351 1.6× 64 1.3k
D. K. Nassiri United Kingdom 19 557 0.8× 484 0.8× 266 0.7× 209 0.8× 166 0.8× 39 1.1k
Roch L. Maurice Canada 16 703 1.0× 537 0.8× 441 1.1× 300 1.2× 105 0.5× 33 1.1k
Caterina M. Gallippi United States 22 834 1.2× 771 1.2× 186 0.5× 186 0.7× 256 1.2× 135 1.3k
Martin Genet France 24 334 0.5× 606 0.9× 678 1.7× 157 0.6× 171 0.8× 62 1.4k
Richard G. P. Lopata Netherlands 22 1.0k 1.4× 986 1.5× 825 2.1× 580 2.3× 210 1.0× 143 1.9k
Jonathan Porée Canada 18 830 1.2× 673 1.1× 234 0.6× 116 0.5× 315 1.4× 59 1.1k
R Omoto Japan 13 835 1.2× 574 0.9× 428 1.1× 262 1.0× 360 1.7× 36 1.4k
K. Kirk Shung United States 16 439 0.6× 521 0.8× 174 0.4× 194 0.8× 172 0.8× 39 897
Douglas M. Dumont United States 16 722 1.0× 605 0.9× 201 0.5× 126 0.5× 291 1.3× 43 918

Countries citing papers authored by Didier Vray

Since Specialization
Citations

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

Fields of papers citing papers by Didier Vray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Didier Vray

This figure shows the co-authorship network connecting the top 25 collaborators of Didier Vray. A scholar is included among the top collaborators of Didier Vray 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 Didier Vray. Didier Vray 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.
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
2.
Vray, Didier, et al.. (2019). Sparse sampling and reconstruction for an optoacoustic ultrasound volumetric hand-held probe. Biomedical Optics Express. 10(4). 1545–1545. 2 indexed citations
3.
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
4.
Varray, François, et al.. (2015). Dual Frequency Band Annular Probe for Volumetric Pulse-echo Optoacoustic Imaging. Physics Procedia. 70. 1104–1108. 5 indexed citations
5.
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
6.
Zahnd, Guillaume, Simone Balocco, André Sérusclat, et al.. (2014). Progressive Attenuation of the Longitudinal Kinetics in the Common Carotid Artery: Preliminary in Vivo Assessment. Ultrasound in Medicine & Biology. 41(1). 339–345. 23 indexed citations
7.
8.
9.
Zahnd, Guillaume, Loïc Boussel, Marion Durand, et al.. (2011). Measurement of Two-Dimensional Movement Parameters of the Carotid Artery Wall for Early Detection of Arteriosclerosis: A Preliminary Clinical Study. Ultrasound in Medicine & Biology. 37(9). 1421–1429. 79 indexed citations
10.
Basarab, Adrian, et al.. (2010). Blood flow evaluation in high-frequency, 40MHz imaging: A comparative study of four vector velocity estimation methods. Ultrasonics. 50(7). 683–690. 6 indexed citations
11.
Duboeuf, F., et al.. (2009). Investigation of PVA cryogel Young's modulus stability with time, controlled by a simple reliable technique. Medical Physics. 36(2). 656–661. 45 indexed citations
12.
Boutet, J., et al.. (2009). Bimodal ultrasound and fluorescence approach for prostate cancer diagnosis. Journal of Biomedical Optics. 14(6). 64001–64001. 21 indexed citations
13.
Vray, Didier, et al.. (2009). Toward a real-time simulation of ultrasound image sequences based on a 3-D set of moving scatterers. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 56(10). 2167–2179. 13 indexed citations
14.
Liebgott, Hervé, Jens E. Wilhjelm, Jørgen Arendt Jensen, Didier Vray, & Philippe Delachartre. (2007). PSF dedicated to estimation of displacement vectors for tissue elasticity imaging with ultrasound. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 54(4). 746–756. 33 indexed citations
15.
Maï, Wilfried, Luc Barraud, Lydie Lefrançois, et al.. (2004). Ultrasound detection of spontaneous hepato‐cellular carcinomas in X/myc bitransgenic mice. Liver International. 24(6). 651–657. 7 indexed citations
16.
Fromageau, J., Élisabeth Brusseau, Didier Vray, G. Gimenez, & Philippe Delachartre. (2003). Characterization of PVA cryogel for intravascular ultrasound elasticity imaging. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 50(10). 1318–1324. 139 indexed citations
17.
Brusseau, Élisabeth, J. Fromageau, N. Rognin, Philippe Delachartre, & Didier Vray. (2002). Investigating elastic properties of soft biological tissues. IEEE Engineering in Medicine and Biology Magazine. 21(4). 86–94. 7 indexed citations
18.
Vray, Didier, Martin Krueger, Élisabeth Brusseau, et al.. (2001). Synthetic aperture-based beam compression for intravascular ultrasound imaging. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 48(1). 189–201. 14 indexed citations
19.
Delachartre, Philippe, et al.. (1999). Modeling geometric artefacts in intravascular ultrasound imaging. Ultrasound in Medicine & Biology. 25(4). 567–575. 15 indexed citations
20.
Gimenez, G., C. Cachard, & Didier Vray. (1990). Use of an analytic signal to model interaction between an acoustic wave and a moving target with a time-dependent velocity. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 37(3). 196–204. 5 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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