M. J. Berggren

763 total citations
23 papers, 430 citations indexed

About

M. J. Berggren is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Ocean Engineering. According to data from OpenAlex, M. J. Berggren has authored 23 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Biomedical Engineering, 10 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Ocean Engineering. Recurrent topics in M. J. Berggren's work include Microwave Imaging and Scattering Analysis (7 papers), Ultrasound Imaging and Elastography (6 papers) and Medical Imaging Techniques and Applications (4 papers). M. J. Berggren is often cited by papers focused on Microwave Imaging and Scattering Analysis (7 papers), Ultrasound Imaging and Elastography (6 papers) and Medical Imaging Techniques and Applications (4 papers). M. J. Berggren collaborates with scholars based in United States and South Korea. M. J. Berggren's co-authors include Steven A. Johnson, D.T. Borup, James Wiskin, Whan-Woo Kim, Steven Johnson, Mrinal K. Dewanjee, Manbir Singh, Yuri R. Parisky, John Klock and Don Robinson and has published in prestigious journals such as Proceedings of the IEEE, Radiology and The Journal of the Acoustical Society of America.

In The Last Decade

M. J. Berggren

22 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. J. Berggren United States 9 280 200 125 88 72 23 430
Koen W. A. van Dongen Netherlands 14 417 1.5× 311 1.6× 188 1.5× 119 1.4× 148 2.1× 77 691
Makoto Tabei Japan 6 247 0.9× 183 0.9× 186 1.5× 36 0.4× 41 0.6× 21 384
G.P. Otto United States 11 333 1.2× 91 0.5× 76 0.6× 218 2.5× 134 1.9× 22 503
Bert Jan Kooij Netherlands 14 259 0.9× 65 0.3× 78 0.6× 163 1.9× 94 1.3× 47 456
В. А. Буров Russia 12 245 0.9× 111 0.6× 147 1.2× 53 0.6× 48 0.7× 63 469
Sigve Tjo tta Norway 10 379 1.4× 200 1.0× 225 1.8× 49 0.6× 22 0.3× 26 538
L.E. Larsen United States 5 423 1.5× 46 0.2× 88 0.7× 282 3.2× 122 1.7× 6 513
Jacqueline Naze Tjo tta Norway 13 451 1.6× 242 1.2× 270 2.2× 56 0.6× 25 0.3× 31 636
Bernard Duchêne France 13 380 1.4× 35 0.2× 148 1.2× 282 3.2× 117 1.6× 37 553
Sicong Pan Germany 7 150 0.5× 86 0.4× 43 0.3× 97 1.1× 46 0.6× 14 329

Countries citing papers authored by M. J. Berggren

Since Specialization
Citations

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

Fields of papers citing papers by M. J. Berggren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. J. Berggren

This figure shows the co-authorship network connecting the top 25 collaborators of M. J. Berggren. A scholar is included among the top collaborators of M. J. Berggren 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 M. J. Berggren. M. J. Berggren 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.
Wiskin, James, D.T. Borup, Steven A. Johnson, & M. J. Berggren. (2012). Non-linear inverse scattering: High resolution quantitative breast tissue tomography. The Journal of the Acoustical Society of America. 131(5). 3802–3813. 101 indexed citations
2.
Lavarello, Roberto, et al.. (2009). Implementation of scatterer size imaging on an ultrasonic breast tomography scanner. 305–308. 8 indexed citations
3.
Johnson, Steven A., et al.. (2006). From laboratory to clinical trials: An odyssey of ultrasound inverse scattering imaging for breast cancer diagnosis. The Journal of the Acoustical Society of America. 120(5_Supplement). 3023–3023. 3 indexed citations
6.
Wiskin, James, et al.. (2002). Full inverse scattering vs. Born-like approximation for imaging in a stratified ocean. III450–III455. 2 indexed citations
7.
Borup, D.T., et al.. (1999). Simulation of acoustic wave propagation in dispersive media with relaxation losses by using FDTD method with PML absorbing boundary condition. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 46(1). 14–23. 54 indexed citations
8.
Borup, D.T., et al.. (1997). Formulation and validation of Berenger's PML absorbing boundary for the FDTD simulation of acoustic scattering. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 44(4). 816–822. 96 indexed citations
9.
Oolman, Timothy, et al.. (1992). Ultrasonic Characterization of Mycelial Morphology as a Fractal Structure. Ultrasonic Imaging. 14(1). 86–95. 4 indexed citations
10.
Borup, D.T., Steven A. Johnson, Whan-Woo Kim, & M. J. Berggren. (1992). Nonperturbative Diffraction Tomography via Gauss-Newton Iteration Applied to the Scattering Integral Equation. Ultrasonic Imaging. 14(1). 69–85. 56 indexed citations
11.
Berggren, M. J., et al.. (1991). Suboptimal Path Planning of Robots: Minimal Nonlinear Forces and Energy. Journal of Dynamic Systems Measurement and Control. 113(4). 748–752. 4 indexed citations
12.
Borup, D.T., et al.. (1988). Seismic borehole tomography using full waveform inversion. 1250–1252. 2 indexed citations
13.
Johnson, Steven A., et al.. (1988). A Concave Annular Array Design, Based on Phasor Summation — Part I: Design Methodology. Ultrasonic Imaging. 10(4). 275–286. 2 indexed citations
14.
Johnson, Steven A., et al.. (1988). A Concave Annular Array Design, Based on Phasor Summation — Part II: Beam Profiles and Resultant Images by B-Scan and Synthetic Focus Methods. Ultrasonic Imaging. 10(4). 287–297. 2 indexed citations
15.
Berggren, M. J., et al.. (1986). Ultrasound Inverse Scattering Solutions From Transmission And/Or Reflection Data. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 671. 114–114. 10 indexed citations
16.
Kim, Whan-Woo, M. J. Berggren, Steven A. Johnson, Frank Stenger, & Calvin H. Wilcox. (1985). Inverse Scattering Solutions to the Exact Riccati Wave Equations by Iterative RYTOV Approximations and Internal Field Calculations. 878–882. 2 indexed citations
17.
Johnson, Steven A., et al.. (1984). Inverse Scattering Solutions by a Sinc Basis, Multiple Source, Moment Method -- Part III: Fast Algorithms. Ultrasonic Imaging. 6(1). 103–116. 2 indexed citations
18.
Iskander, Magdy F., et al.. (1981). On the sensitivity and the resolution of microwave imaging using ART. Proceedings of the IEEE. 69(11). 1517–1519. 10 indexed citations
19.
Fincke, J.R., M. J. Berggren, & Steven A. Johnson. (1980). Application of reconstructive tomography to the measurement of density distribution in two-phase flow. University of North Texas Digital Library (University of North Texas). 5 indexed citations
20.
Berggren, M. J., et al.. (1978). Computed Transaxial Imaging Using Single Gamma Emitters. Radiology. 129(1). 187–194. 9 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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