Thomas Goldstein

19 papers receiving 486 citations

Peers

Thomas Goldstein
Comparison fields: 5 of 67
  • Acoustics and Ultrasonics 8
  • Radiology, Nuclear Medicine and Imaging 157
  • Computational Mathematics 4
  • Cardiology and Cardiovascular Medicine 106
  • Computational Mechanics 93
Replace Carlos Sing‐Long with:
Carlos Sing‐Long Chile
Mariappan S. Nadar United States
Steen Pedersen United States
Jorge J. Betancor Spain
Urs Gamper Switzerland
Frank Ong United States
José Seabra Portugal
Christian Schumann Germany
E. L. Ritman United States
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Citations per year

Countries citing papers authored by Thomas Goldstein

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Goldstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas Goldstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas Goldstein Line = papers co-authored together Thomas Goldstein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201092
2 201782
3 201346
4 200834
5
Adaptive Primal-Dual splitting methods for statistical learning and image processing
201533
6 200928
7 200928
8 201026
9 201623
10 201722
11 200720
12 200616
13 201016
14 201212
15 201211
16
FreeLB: Enhanced Adversarial Training for Language Understanding
20193
17 20102
18
National Review on Nonstructural Precast Concrete Elements
20121
19 19761
20 20151

About Thomas Goldstein

Thomas Goldstein is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Computational Mechanics, Biomedical Engineering and Atomic and Molecular Physics, and Optics, having authored 21 papers that have together received 497 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (6 papers), Advanced MRI Techniques and Applications (4 papers), Sparse and Compressive Sensing Techniques (4 papers), Image and Signal Denoising Methods (3 papers), Ultrasound and Hyperthermia Applications (2 papers), Atomic and Subatomic Physics Research (2 papers), Domain Adaptation and Few-Shot Learning (1 paper) and Advanced Radiotherapy Techniques (1 paper). The work is most often cited by research in Acoustics and Ultrasonics (8 citations), Radiology, Nuclear Medicine and Imaging (157 citations), Computational Mathematics (4 citations), Cardiology and Cardiovascular Medicine (106 citations) and Computational Mechanics (93 citations). Thomas Goldstein has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Jie Zheng, Bernd Misselwitz, Robert J. Gropler, Haosen Zhang, Dana R. Abendschein, Kyle S. McCommis, Ashok Veeraraghavan, Christoph Studer, Michael B. Wakin and Richard G. Baraniuk. Their work appears in journals such as Magnetic Resonance in Medicine, Investigative Radiology, Journal of Cardiovascular Magnetic Resonance, Radiology and IEEE Signal Processing Magazine.

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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