Vijay Shamdasani

1.2k total citations
39 papers, 718 citations indexed

About

Vijay Shamdasani is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Mechanics of Materials. According to data from OpenAlex, Vijay Shamdasani has authored 39 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Radiology, Nuclear Medicine and Imaging, 27 papers in Biomedical Engineering and 7 papers in Mechanics of Materials. Recurrent topics in Vijay Shamdasani's work include Ultrasound Imaging and Elastography (30 papers), Ultrasound and Hyperthermia Applications (22 papers) and Photoacoustic and Ultrasonic Imaging (13 papers). Vijay Shamdasani is often cited by papers focused on Ultrasound Imaging and Elastography (30 papers), Ultrasound and Hyperthermia Applications (22 papers) and Photoacoustic and Ultrasonic Imaging (13 papers). Vijay Shamdasani collaborates with scholars based in United States, Finland and Netherlands. Vijay Shamdasani's co-authors include Hua Xie, James F. Greenleaf, Shigao Chen, Shi Yan, Ravi Managuli, Satoshi Minoshima, Manjiri Dighe, William Sánchez, Matthew R. Callstrom and Theodore J. Dubinsky and has published in prestigious journals such as Radiology, American Journal of Roentgenology and Physics in Medicine and Biology.

In The Last Decade

Vijay Shamdasani

37 papers receiving 709 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vijay Shamdasani United States 12 437 369 148 127 103 39 718
Lin Yao China 7 439 1.0× 350 0.9× 104 0.7× 160 1.3× 76 0.7× 23 794
Iván M. Rosado-Méndez United States 16 525 1.2× 403 1.1× 167 1.1× 134 1.1× 27 0.3× 72 774
Duane D. Meixner United States 16 539 1.2× 365 1.0× 56 0.4× 166 1.3× 44 0.4× 24 737
Jens Rump Germany 15 571 1.3× 515 1.4× 113 0.8× 111 0.9× 141 1.4× 34 863
F.T. Lee United States 9 270 0.6× 555 1.5× 74 0.5× 102 0.8× 51 0.5× 11 795
Douglas M. Dumont United States 16 722 1.7× 605 1.6× 60 0.4× 291 2.3× 96 0.9× 43 918
J. Lorenzen Germany 9 767 1.8× 673 1.8× 55 0.4× 215 1.7× 134 1.3× 26 1.1k
Boris Chayer Canada 17 463 1.1× 347 0.9× 187 1.3× 89 0.7× 159 1.5× 48 834
James Jago United States 13 273 0.6× 309 0.8× 30 0.2× 77 0.6× 84 0.8× 44 519
Jeff Powers United States 12 398 0.9× 494 1.3× 38 0.3× 94 0.7× 78 0.8× 25 710

Countries citing papers authored by Vijay Shamdasani

Since Specialization
Citations

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

Fields of papers citing papers by Vijay Shamdasani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vijay Shamdasani

This figure shows the co-authorship network connecting the top 25 collaborators of Vijay Shamdasani. A scholar is included among the top collaborators of Vijay Shamdasani 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 Vijay Shamdasani. Vijay Shamdasani 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.
Kaliaev, Artem, et al.. (2022). Quantitative Ultrasound Assessment of Hepatic Steatosis. Journal of Clinical and Experimental Hepatology. 12(4). 1091–1101. 3 indexed citations
2.
Amador, Carolina, et al.. (2020). 2-D Ultrasound Shear Wave Elastography With Multi-Sphere-Source External Mechanical Vibration: Preliminary Phantom Results. Ultrasound in Medicine & Biology. 46(9). 2505–2519. 4 indexed citations
3.
Zhou, Shiwei, et al.. (2018). Real-Time X-Plane Shear Wave Elastography Feasibility on Philips 2D xMatrix Transducer. 37. 1–9. 3 indexed citations
4.
Deng, Yinhui, et al.. (2014). Evaluation of fatty proportion in fatty liver using least squares method with constraints. Bio-Medical Materials and Engineering. 24(6). 2811–2820. 2 indexed citations
5.
Vignon, François, et al.. (2013). Transcranial image quality improvement with a multi-step approach. 3. 1284–1287. 3 indexed citations
6.
Zhou, Shiwei, et al.. (2013). Development of Oil-in-Gelatin Phantoms for Viscoelasticity Measurement in Ultrasound Shear Wave Elastography. Ultrasound in Medicine & Biology. 40(1). 168–176. 53 indexed citations
7.
Shamdasani, Vijay, et al.. (2013). Automatic 3D ultrasound calibration for image guided therapy using intramodality image registration. Physics in Medicine and Biology. 58(21). 7481–7496. 10 indexed citations
8.
Chiu, Bernard, Vijay Shamdasani, Robert Entrekin, Chun Yuan, & William Kerwin. (2012). Characterization of Carotid Plaques on 3-Dimensional Ultrasound Imaging by Registration With Multicontrast Magnetic Resonance Imaging. Journal of Ultrasound in Medicine. 31(10). 1567–1580. 18 indexed citations
9.
Kate, Gerrit L. ten, Guillaume Renaud, Zeynettin Akkus, et al.. (2012). Far-Wall Pseudoenhancement During Contrast-Enhanced Ultrasound of the Carotid Arteries: Clinical Description and In Vitro Reproduction. Ultrasound in Medicine & Biology. 38(4). 593–600. 57 indexed citations
10.
Vignon, François, et al.. (2009). Mapping skull attenuation for optimal probe placement in transcranial ultrasound applications. 26. 2336–2339. 7 indexed citations
11.
Shamdasani, Vijay, et al.. (2009). Real-Time 3-D Ultrasound Scan Conversion Using a Multicore Processor. IEEE Transactions on Information Technology in Biomedicine. 13(4). 571–574. 8 indexed citations
12.
Shamdasani, Vijay, et al.. (2007). Research interface on a programmable ultrasound scanner. Ultrasonics. 48(3). 159–168. 20 indexed citations
13.
Dighe, Manjiri, et al.. (2007). Ultrasound Thyroid Elastography Using Carotid Artery Pulsation. Journal of Ultrasound in Medicine. 26(6). 797–805. 99 indexed citations
14.
Dighe, Manjiri, et al.. (2006). 6F-6 Thyroid Elastography Using Carotid Artery Pulsation: A Feasibility Study. 25. 614–617. 8 indexed citations
15.
Shamdasani, Vijay, et al.. (2005). Improving the visualization of 3D ultrasound data with 3D filtering. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5744. 455–455. 6 indexed citations
16.
Shamdasani, Vijay & Y. Kim. (2005). Two-dimensional autocorrelation method for ultrasound-based strain estimation. PubMed. 3. 1380–1383. 10 indexed citations
17.
Shamdasani, Vijay, et al.. (2004). Ultrasound Color-Flow Imaging on a Programmable System. IEEE Transactions on Information Technology in Biomedicine. 8(2). 191–199. 16 indexed citations
18.
Shamdasani, Vijay, et al.. (2003). Fast Adaptive Unsharp Masking with Programmable Mediaprocessors. Journal of Digital Imaging. 16(2). 230–239. 7 indexed citations
19.
Managuli, Ravi, et al.. (2003). Tomosynthesis‐based localization of radioactive seeds in prostate brachytherapy. Medical Physics. 30(12). 3135–3142. 42 indexed citations
20.
Managuli, Ravi, et al.. (2002). <title>Fast unsharp masking on a programmable mediaprocessor</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4681. 576–586. 2 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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