P.M. Shankar

6.0k total citations
130 papers, 4.2k citations indexed

About

P.M. Shankar is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, P.M. Shankar has authored 130 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Electrical and Electronic Engineering, 40 papers in Biomedical Engineering and 39 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in P.M. Shankar's work include Ultrasound Imaging and Elastography (39 papers), Ultrasonics and Acoustic Wave Propagation (26 papers) and Advanced Wireless Communication Techniques (19 papers). P.M. Shankar is often cited by papers focused on Ultrasound Imaging and Elastography (39 papers), Ultrasonics and Acoustic Wave Propagation (26 papers) and Advanced Wireless Communication Techniques (19 papers). P.M. Shankar collaborates with scholars based in United States, India and France. P.M. Shankar's co-authors include V.L. Newhouse, Raj Mutharasan, Angela M. Leung, John M. Reid, Catherine W. Piccoli, Flemming Forsberg, B.B. Goldberg, V.A. Dumane, Vladimir Genis and L. C. Bobb and has published in prestigious journals such as Proceedings of the IEEE, The Journal of the Acoustical Society of America and Optics Letters.

In The Last Decade

P.M. Shankar

120 papers receiving 4.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P.M. Shankar United States 34 1.7k 1.6k 1.4k 712 576 130 4.2k
Amin Abbosh Australia 54 4.9k 2.9× 7.1k 4.6× 655 0.5× 645 0.9× 148 0.3× 525 11.3k
Wei Zhao United States 43 2.6k 1.6× 3.1k 2.0× 2.6k 1.8× 63 0.1× 149 0.3× 324 7.9k
Sverre Holm Norway 34 1.8k 1.1× 544 0.4× 1.9k 1.3× 1.9k 2.7× 102 0.2× 178 4.2k
José Rodellar Spain 40 264 0.2× 252 0.2× 273 0.2× 543 0.8× 179 0.3× 240 6.0k
Vittorio Ferrari Italy 33 2.4k 1.4× 2.6k 1.6× 47 0.0× 219 0.3× 273 0.5× 239 5.4k
Michael F. Insana United States 41 4.6k 2.7× 597 0.4× 5.5k 3.8× 2.5k 3.6× 23 0.0× 251 7.3k
Hu Chen China 30 2.0k 1.2× 166 0.1× 2.4k 1.7× 102 0.1× 40 0.1× 249 4.8k
Domenico Grimaldi Italy 28 647 0.4× 561 0.4× 71 0.0× 161 0.2× 687 1.2× 176 2.4k
Ernest L. Hall United States 33 414 0.2× 489 0.3× 206 0.1× 246 0.3× 73 0.1× 231 4.4k
Rajeev Bansal United States 20 1.0k 0.6× 2.7k 1.8× 153 0.1× 115 0.2× 221 0.4× 151 4.7k

Countries citing papers authored by P.M. Shankar

Since Specialization
Citations

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

Fields of papers citing papers by P.M. Shankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.M. Shankar. 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 P.M. Shankar. The network helps show where P.M. Shankar may publish in the future.

Co-authorship network of co-authors of P.M. Shankar

This figure shows the co-authorship network connecting the top 25 collaborators of P.M. Shankar. A scholar is included among the top collaborators of P.M. Shankar 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 P.M. Shankar. P.M. Shankar 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.
Shankar, P.M.. (2014). Statistics of Boundaries in Ultrasonic B-Scan Images. Ultrasound in Medicine & Biology. 41(1). 268–280. 7 indexed citations
2.
Shankar, P.M.. (2006). Speckle reduction in ultrasonic images through a maximum likelihood based adaptive filter. Physics in Medicine and Biology. 51(21). 5591–5602. 7 indexed citations
3.
Shankar, P.M., Catherine W. Piccoli, John M. Reid, Flemming Forsberg, & B.B. Goldberg. (2005). Application of the compound probability density function for characterization of breast masses in ultrasound B scans. Physics in Medicine and Biology. 50(10). 2241–2248. 28 indexed citations
4.
Shi, William T., et al.. (2004). Subharmonic signal generation from contrast agents in simulated neovessels. Ultrasound in Medicine & Biology. 30(2). 199–203. 30 indexed citations
5.
Shankar, P.M.. (2004). The use of the compound probability density function in ultrasonic tissue characterization. Physics in Medicine and Biology. 49(6). 1007–1015. 41 indexed citations
6.
Tretiak, Oleh J., Catherine W. Piccoli, Kevin D. Donohue, et al.. (2003). ROC analysis of ultrasound tissue characterization classifiers for breast cancer diagnosis. IEEE Transactions on Medical Imaging. 22(2). 170–177. 55 indexed citations
7.
Shankar, P.M., V.A. Dumane, Thomas George, et al.. (2003). Classification of breast masses in ultrasonic B scans using Nakagami and K distributions. Physics in Medicine and Biology. 48(14). 2229–2240. 60 indexed citations
8.
Shankar, P.M., et al.. (2003). Statistical modeling of atherosclerotic plaque in carotid B mode images—a feasibility study. Ultrasound in Medicine & Biology. 29(9). 1305–1309. 18 indexed citations
9.
Dumane, V.A., P.M. Shankar, Catherine W. Piccoli, et al.. (2002). Computer aided classification of masses in ultrasonic mammography. Medical Physics. 29(9). 1968–1973. 14 indexed citations
10.
Dumane, V.A. & P.M. Shankar. (2001). Use of frequency diversity and Nakagami statistics in ultrasonic tissue characterization. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 48(4). 1139–1146. 24 indexed citations
11.
Shankar, P.M., V.A. Dumane, John M. Reid, et al.. (2001). Classification of ultrasonic B-mode images of breast masses using Nakagami distribution. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 48(2). 569–580. 175 indexed citations
12.
Shankar, P.M., et al.. (1999). Subharmonic generation from ultrasonic contrast agents. Physics in Medicine and Biology. 44(3). 681–694. 59 indexed citations
13.
Molthen, Robert C., P.M. Shankar, John M. Reid, et al.. (1998). Comparisons of the Rayleigh and K -distribution models using in vivo breast and liver tissue. Ultrasound in Medicine & Biology. 24(1). 93–100. 37 indexed citations
14.
Shankar, P.M., et al.. (1998). Advantages of Subharmonic Over Second Harmonic Backscatter for Contrast-To-Tissue Echo Enhancement. Ultrasound in Medicine & Biology. 24(3). 395–399. 153 indexed citations
15.
Molthen, Robert C., P.M. Shankar, John M. Reid, et al.. (1998). Using phase information in ultrasonic backscatter for in vivo liver analysis. Ultrasound in Medicine & Biology. 24(1). 79–91. 5 indexed citations
16.
Molthen, Robert C., et al.. (1997). Studies on ultrasonic scattering from quasi-periodic structures. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 44(1). 114–124. 23 indexed citations
17.
Shankar, P.M., Robert C. Molthen, John M. Reid, et al.. (1996). Studies on the use of non-Rayleigh statistics for ultrasonic tissue characterization. Ultrasound in Medicine & Biology. 22(7). 873–882. 27 indexed citations
18.
Shankar, P.M.. (1995). A model for ultrasonic scattering from tissues based on the K distribution. Physics in Medicine and Biology. 40(10). 1633–1649. 104 indexed citations
19.
Shankar, P.M., et al.. (1994). Non-Rayleigh statistics of ultrasonic backscattered signals. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 41(6). 845–852. 84 indexed citations
20.
Bobb, L. C. & P.M. Shankar. (1992). Tapered optical fiber components and sensors. MiJo. 35(5). 218. 3 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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