Thomas Goldstein

968 citations
19 papers · 452 · h-index 13

Impact in

Papers in

Thomas Goldstein

18 papers receiving 443 citations

Peers

Thomas Goldstein
Comparison fields: 5 of 71
  • Radiology, Nuclear Medicine and Imaging 206
  • Acoustics and Ultrasonics 7
  • Cardiology and Cardiovascular Medicine 160
  • Computational Mathematics 4
  • Computational Mechanics 84
Replace Carlos Sing‐Long with:
Carlos Sing‐Long Chile
Mariappan S. Nadar United States
Steen Pedersen United States
Patrick Joly France
Jorge J. Betancor Spain
Frank Ong United States
Urs Gamper Switzerland
José Seabra Portugal
Raphael Hauser United Kingdom
Thomas Goldstein relative to Carlos Sing‐Long Chile Carlos Sing‐Long's profile →
Citations per field
00.5×3.3×
Carlos Sing‐Long · 1×
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

19 of 19 papers shown
#Work
1 201086
2 201775
3 201344
4 200834
5
Adaptive Primal-Dual splitting methods for statistical learning and image processing
201531
6 200928
7 200927
8 201025
9 201721
10 200719
11 200616
12 201015
13 201212
14 201211
15
FreeLB: Enhanced Adversarial Training for Language Understanding
20193
16 20102
17
National Review on Nonstructural Precast Concrete Elements
20121
18 19761
19 20151

About Thomas Goldstein

Thomas Goldstein is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biomedical Engineering, Cardiology and Cardiovascular Medicine and Computational Mechanics, having authored 19 papers that have together received 452 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (10 papers), Cardiac Imaging and Diagnostics (7 papers), Sparse and Compressive Sensing Techniques (4 papers), Cardiovascular Function and Risk Factors (4 papers), Image and Signal Denoising Methods (3 papers), Ultrasound and Hyperthermia Applications (3 papers), Atomic and Subatomic Physics Research (2 papers) and Advanced Neuroimaging Techniques and Applications (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (206 citations), Acoustics and Ultrasonics (7 citations), Cardiology and Cardiovascular Medicine (160 citations), Computational Mathematics (4 citations) and Computational Mechanics (84 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, Kyle S. McCommis, Dana R. Abendschein, Christoph Studer, Michael B. Wakin, Aswin C. Sankaranarayanan and Ashok Veeraraghavan. Their work appears in journals such as Magnetic Resonance in Medicine, Investigative Radiology, Circulation Cardiovascular Imaging, IEEE Signal Processing Magazine and Medical Physics.

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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