B.M. Shapo

1.3k total citations · 1 hit paper
23 papers, 952 citations indexed

About

B.M. Shapo is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, B.M. Shapo has authored 23 papers receiving a total of 952 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Biomedical Engineering and 7 papers in Artificial Intelligence. Recurrent topics in B.M. Shapo's work include Ultrasound Imaging and Elastography (13 papers), Photoacoustic and Ultrasonic Imaging (7 papers) and Target Tracking and Data Fusion in Sensor Networks (7 papers). B.M. Shapo is often cited by papers focused on Ultrasound Imaging and Elastography (13 papers), Photoacoustic and Ultrasonic Imaging (7 papers) and Target Tracking and Data Fusion in Sensor Networks (7 papers). B.M. Shapo collaborates with scholars based in United States and Russia. B.M. Shapo's co-authors include Matthew O’Donnell, A.R. Skovoroda, Stanislav Emelianov, M.J. Eberle, Douglas N. Stephens, Chris Kreucher, Ramon Erkamp, Robert J. Lederman, Julie A. Kovach and M.A. Lubinski and has published in prestigious journals such as Signal Processing, IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control and Ultrasonic Imaging.

In The Last Decade

B.M. Shapo

23 papers receiving 912 citations

Hit Papers

Internal displacement and strain imaging using ultrasonic... 1994 2026 2004 2015 1994 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B.M. Shapo United States 11 820 655 322 155 153 23 952
Christian Cachard France 14 483 0.6× 470 0.7× 265 0.8× 64 0.4× 59 0.4× 49 742
Stephen W. Smith United States 11 535 0.7× 391 0.6× 274 0.9× 89 0.6× 85 0.6× 28 989
Michael Johannes Pihl Denmark 14 661 0.8× 401 0.6× 285 0.9× 84 0.5× 126 0.8× 31 789
Edward D. Light United States 16 526 0.6× 480 0.7× 136 0.4× 135 0.9× 58 0.4× 53 741
Jesse T. Yen United States 18 811 1.0× 654 1.0× 472 1.5× 34 0.2× 159 1.0× 86 1.0k
L.N. Bohs United States 14 852 1.0× 501 0.8× 263 0.8× 113 0.7× 132 0.9× 28 1.1k
Jonathan Porée Canada 18 830 1.0× 673 1.0× 315 1.0× 65 0.4× 48 0.3× 59 1.1k
Yangmo Yoo South Korea 17 624 0.8× 598 0.9× 362 1.1× 37 0.2× 125 0.8× 79 933
P.M. Embree United States 7 336 0.4× 182 0.3× 211 0.7× 45 0.3× 101 0.7× 8 554
Matthias Bo Stuart Denmark 20 1.1k 1.3× 825 1.3× 540 1.7× 42 0.3× 208 1.4× 104 1.3k

Countries citing papers authored by B.M. Shapo

Since Specialization
Citations

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

Fields of papers citing papers by B.M. Shapo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B.M. Shapo

This figure shows the co-authorship network connecting the top 25 collaborators of B.M. Shapo. A scholar is included among the top collaborators of B.M. Shapo 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 B.M. Shapo. B.M. Shapo 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.
Shapo, B.M. & Chris Kreucher. (2015). Performance of maximum likelihood estimation for multipath TDOA passive ranging. International Conference on Information Fusion. 742–747. 1 indexed citations
2.
Shapo, B.M. & Chris Kreucher. (2014). Optimal fusion of video and RF data for detection and tracking with object occlusion. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9091. 909106–909106. 1 indexed citations
3.
Shapo, B.M., et al.. (2012). Detection and tracking of prominent scatterers in SAR data. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8394. 83940G–83940G. 5 indexed citations
4.
Shapo, B.M., et al.. (2010). PDF target detection and tracking. Signal Processing. 90(7). 2164–2176. 6 indexed citations
5.
Kreucher, Chris, et al.. (2009). Multitarget detection and tracking using multi-sensor passive acoustic data. 3. 1–16. 20 indexed citations
6.
Shapo, B.M., et al.. (2006). An Overview of the Probability Density Function (PDF) Tracker. 1–6. 9 indexed citations
7.
Shapo, B.M., et al.. (2003). Single snapshot spatial processing: optimized and constrained. 508–512. 15 indexed citations
8.
Skovoroda, A.R., et al.. (2003). Ultrasound elasticity imaging using Fourier based speckle tracking algorithm. l9. 1065–1068. 9 indexed citations
9.
O’Donnell, Matthew, et al.. (2002). Catheter arrays: can intravascular ultrasound make a difference in managing coronary artery disease. 2. 1447–1456. 16 indexed citations
10.
Shapo, B.M., et al.. (2002). Ultrasonic displacement and strain imaging of coronary arteries with a catheter array. 2. 1511–1514. 2 indexed citations
11.
Shapo, B.M., et al.. (2002). A novel passive broadband Bayesian detector/tracker. 92–96. 5 indexed citations
12.
Shapo, B.M., et al.. (2002). Intravascular strain imaging: experiments on an inhomogeneous phantom. 2. 1177–1180. 2 indexed citations
13.
O’Donnell, Matthew, et al.. (2002). Synthetic phased array imaging of coronary arteries with an intraluminal array. 2. 1251–1254. 7 indexed citations
14.
Shapo, B.M., Douglas N. Stephens, M.J. Eberle, et al.. (2000). Blood speed imaging with an intraluminal array. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 47(3). 672–681. 14 indexed citations
15.
O’Donnell, Matthew, et al.. (1997). Synthetic phased arrays for intraluminal imaging of coronary arteries. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 44(3). 714–721. 89 indexed citations
16.
Shapo, B.M., et al.. (1996). Strain Imaging of Coronary Arteries with Intraluminal Ultrasound: Experiments on an Inhomogeneous Phantom. Ultrasonic Imaging. 18(3). 173–191. 48 indexed citations
17.
Shapo, B.M., et al.. (1996). Displacement and strain imaging of coronary arteries with intraluminal ultrasound. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 43(2). 234–246. 82 indexed citations
18.
Shapo, B.M.. (1996). Strain Imaging of Coronary Arteries with Intraluminal Ultrasound: Experiments on an Inhomogeneous Phantom. Ultrasonic Imaging. 18(3). 173–191. 14 indexed citations
19.
O’Donnell, Matthew, B.M. Shapo, M.J. Eberle, & Douglas N. Stephens. (1995). Experimental Studies on an Efficient Catheter Array Imaging System. Ultrasonic Imaging. 17(2). 83–94. 10 indexed citations
20.
O’Donnell, Matthew, A.R. Skovoroda, B.M. Shapo, & Stanislav Emelianov. (1994). Internal displacement and strain imaging using ultrasonic speckle tracking. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 41(3). 314–325. 557 indexed citations breakdown →

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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