Thomas Goldstein

968 total citations
19 papers, 452 citations indexed

About

Thomas Goldstein is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Thomas Goldstein has authored 19 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Biomedical Engineering. Recurrent topics in Thomas Goldstein's work include Advanced MRI Techniques and Applications (10 papers), Cardiac Imaging and Diagnostics (7 papers) and Sparse and Compressive Sensing Techniques (4 papers). Thomas Goldstein is often cited by papers focused on Advanced MRI Techniques and Applications (10 papers), Cardiac Imaging and Diagnostics (7 papers) and Sparse and Compressive Sensing Techniques (4 papers). Thomas Goldstein collaborates with scholars based in United States, Germany and China. Thomas Goldstein's co-authors include Jie Zheng, Bernd Misselwitz, Robert J. Gropler, Haosen Zhang, Kyle S. McCommis, Dana R. Abendschein, Michael B. Wakin, Richard G. Baraniuk, Aswin C. Sankaranarayanan and Ashok Veeraraghavan and has published in prestigious journals such as PLoS ONE, Radiology and Magnetic Resonance in Medicine.

In The Last Decade

Thomas Goldstein

18 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Goldstein United States 13 206 160 116 84 76 19 452
Steen Pedersen United States 16 165 0.8× 105 0.7× 47 0.4× 36 0.4× 22 0.3× 51 969
Eoin Hyde United Kingdom 14 114 0.6× 270 1.7× 57 0.5× 38 0.5× 104 1.4× 24 505
Carlos Sing‐Long Chile 9 138 0.7× 49 0.3× 30 0.3× 89 1.1× 45 0.6× 27 401
Mariappan S. Nadar United States 14 451 2.2× 130 0.8× 38 0.3× 88 1.0× 103 1.4× 60 736
E. L. Ritman United States 14 306 1.5× 148 0.9× 102 0.9× 37 0.4× 194 2.6× 35 629
Christoph Guetter United States 10 296 1.4× 178 1.1× 33 0.3× 39 0.5× 44 0.6× 28 455
Urs Gamper Switzerland 5 729 3.5× 58 0.4× 107 0.9× 248 3.0× 162 2.1× 7 874
Stefan Kraß Germany 10 223 1.1× 21 0.1× 309 2.7× 22 0.3× 50 0.7× 20 457
Mariana del Fresno Argentina 10 160 0.8× 35 0.2× 47 0.4× 24 0.3× 53 0.7× 25 362

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-authorship network of co-authors of Thomas Goldstein

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Goldstein. A scholar is included among the top collaborators of Thomas Goldstein 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 Thomas Goldstein. Thomas Goldstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Zhu, Chen, Yu Cheng, Zhe Gan, Siqi Sun, & Thomas Goldstein. (2019). FreeLB: Enhanced Adversarial Training for Language Understanding. arXiv (Cornell University). 3 indexed citations
2.
Yin, Qian, et al.. (2017). A non-contrast CMR index for assessing myocardial fibrosis. Magnetic Resonance Imaging. 42. 69–73. 21 indexed citations
3.
Baraniuk, Richard G., Thomas Goldstein, Aswin C. Sankaranarayanan, et al.. (2017). Compressive Video Sensing: Algorithms, architectures, and applications. IEEE Signal Processing Magazine. 34(1). 52–66. 75 indexed citations
4.
Goldstein, Thomas, Min Li, & Xiaoming Yuan. (2015). Adaptive Primal-Dual splitting methods for statistical learning and image processing. The HKU Scholars Hub (University of Hong Kong). 28. 2089–2097. 31 indexed citations
5.
Xu, Zheng, Xue Li, Kuiyuan Yang, & Thomas Goldstein. (2015). Exploiting Low-rank Structure for Discriminative Sub-categorization. 149.1–149.12. 1 indexed citations
6.
Hueper, Katja, Megha A. Parikh, Martin R. Prince, et al.. (2013). Quantitative and Semiquantitative Measures of Regional Pulmonary Microvascular Perfusion by Magnetic Resonance Imaging and Their Relationships to Global Lung Perfusion and Lung Diffusing Capacity. Investigative Radiology. 48(4). 223–230. 44 indexed citations
7.
Goldstein, Thomas. (2012). National Review on Nonstructural Precast Concrete Elements. 1 indexed citations
8.
Hueper, Katja, Antonia Zapf, Jan Skrok, et al.. (2012). In Hypertrophic Cardiomyopathy Reduction of Relative Resting Myocardial Blood Flow Is Related to Late Enhancement, T2-Signal and LV Wall Thickness. PLoS ONE. 7(7). e41974–e41974. 12 indexed citations
9.
Kim, Hojin, Ruijiang Li, Rena Lee, et al.. (2012). Dose optimization with first‐order total‐variation minimization for dense angularly sampled and sparse intensity modulated radiation therapy (DASSIM‐RT). Medical Physics. 39(7Part1). 4316–4327. 11 indexed citations
10.
McCommis, Kyle S., Thomas Goldstein, Dana R. Abendschein, et al.. (2010). Roles of myocardial blood volume and flow in coronary artery disease: an experimental MRI study at rest and during hyperemia. European Radiology. 20(8). 2005–2012. 25 indexed citations
11.
McCommis, Kyle S., Ioannis Koktzoglou, Haosen Zhang, et al.. (2010). Improvement of hyperemic myocardial oxygen extraction fraction estimation by a diffusion‐prepared sequence. Magnetic Resonance in Medicine. 63(6). 1675–1682. 2 indexed citations
12.
Vogel‐Claussen, Jens, Jan Skrok, Monda L. Shehata, et al.. (2010). Right and Left Ventricular Myocardial Perfusion Reserves Correlate with Right Ventricular Function and Pulmonary Hemodynamics in Patients with Pulmonary Arterial Hypertension. Radiology. 258(1). 119–127. 86 indexed citations
13.
Mohler, George, Andrea L. Bertozzi, Thomas Goldstein, & Stanley Osher. (2010). Fast TV Regularization for 2D Maximum Penalized Likelihood Estimation. Journal of Computational and Graphical Statistics. 20(2). 479–491. 15 indexed citations
14.
McCommis, Kyle S., Haosen Zhang, Thomas Goldstein, et al.. (2009). Myocardial Blood Volume Is Associated With Myocardial Oxygen Consumption. JACC. Cardiovascular imaging. 2(11). 1313–1320. 28 indexed citations
15.
McCommis, Kyle S., Thomas Goldstein, Dana R. Abendschein, et al.. (2009). Quantification of Regional Myocardial Oxygenation by Magnetic Resonance Imaging. Circulation Cardiovascular Imaging. 3(1). 41–46. 27 indexed citations
16.
Goldstein, Thomas, Michael Jerosch‐Herold, Bernd Misselwitz, et al.. (2008). Fast mapping of myocardial blood flow with MR first‐pass perfusion imaging. Magnetic Resonance in Medicine. 59(6). 1394–1400. 34 indexed citations
17.
McCommis, Kyle S., Thomas Goldstein, Haosen Zhang, et al.. (2007). Quantification of Myocardial Blood Volume During Dipyridamole and Doubtamine Stress: A Perfusion CMR Study. Journal of Cardiovascular Magnetic Resonance. 9(5). 785–792. 19 indexed citations
18.
Goldstein, Thomas, et al.. (2006). Improvement of quantification of myocardial first‐pass perfusion mapping: A temporal and spatial wavelet denoising method. Magnetic Resonance in Medicine. 56(2). 439–445. 16 indexed citations
19.
Goldstein, Thomas. (1976). The Role of the Italian Merchant Class in Renaissance and Discoveries. Terrae Incognitae. 8(1). 19–28. 1 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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