Tom Goldstein
Impact in
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- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
- Medical Image Segmentation Techniques
- Computational Mechanics top 0.5%
- Sparse and Compressive Sensing Techniques
Papers in
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- Adversarial Robustness in Machine Learning 23
- Domain Adaptation and Few-Shot Learning 8
- Stochastic Gradient Optimization Techniques 7
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- Advanced MIMO Systems Optimization 19
- Advanced Wireless Communication Techniques 8
- Co-authors
- Stanley Osher (2 shared papers)Christoph Studer (29 shared papers)Richard G. Baraniuk (6 shared papers)Simon Setzer (1 shared paper)Brendan O’Donoghue (1 shared paper)Xavier Bresson (2 shared papers)Gavin Taylor (7 shared papers)Micah Goldblum (16 shared papers)
- Journals
- IEEE Transactions on Image Processing (2 papers)SIAM Journal on Imaging Sciences (2 papers)IEEE Journal on Emerging and Selected Topics in Circuits and Systems (2 papers)IEEE Journal on Selected Areas in Communications (1 paper)IEEE Transactions on Circuits & Systems II Express Briefs (1 paper)
- Partner nations
- United StatesSwedenGermany
In The Last Decade
Tom Goldstein
86 papers receiving 5.2k citations
Tom Goldstein's Hit Papers
Peers
Comparison fields: 5 of 152
- Computer Vision and Pattern Recognition 2.4k
- Computational Mechanics 1.7k
- Media Technology 679
- Computational Mathematics 25
- Mathematical Physics 350
Countries citing papers authored by Tom Goldstein
This map shows the geographic impact of Tom 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 Tom Goldstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Goldstein more than expected).
Fields of papers citing papers by Tom Goldstein
This network shows the impact of papers produced by Tom 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 Tom Goldstein. The network helps show where Tom Goldstein may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Goldstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Split Bregman Method for L1-Regularized Problems Hit paper breakdown → | 2009 | 3104 |
| 2 | Fast Alternating Direction Optimization Methods Hit paper breakdown → | 2014 | 503 |
| 3 | Geometric Applications of the Split Bregman Method: Segmentation and Surface Reconstruction Hit paper breakdown → | 2009 | 326 |
| 4 | 2018 | 167 | |
| 5 | 2018 | 138 | |
| 6 | Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses Hit paper breakdown → | 2022 | 134 |
| 7 | 2017 | 91 | |
| 8 | 2019 | 67 | |
| 9 | 2017 | 67 | |
| 10 | 2023 | 65 | |
| 11 | 2023 | 62 | |
| 12 | 2022 | 56 | |
| 13 | 2016 | 56 | |
| 14 | 2022 | 50 | |
| 15 | 2016 | 41 | |
| 16 | 2019 | 39 | |
| 17 | LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition | 2021 | 38 |
| 18 | Training Quantized Nets: A Deeper Understanding | 2017 | 37 |
| 19 | 2016 | 36 | |
| 20 | 2021 | 31 |
About Tom Goldstein
Tom Goldstein is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications and Computational Mechanics, having authored 91 papers that have together received 5.5k indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (23 papers), Advanced MIMO Systems Optimization (19 papers), Advanced Neural Network Applications (10 papers), Domain Adaptation and Few-Shot Learning (8 papers), Sparse and Compressive Sensing Techniques (8 papers), Advanced Wireless Communication Techniques (8 papers), Stochastic Gradient Optimization Techniques (7 papers) and Cooperative Communication and Network Coding (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.4k citations), Computational Mechanics (1.7k citations), Media Technology (679 citations), Computational Mathematics (25 citations) and Mathematical Physics (350 citations). Tom Goldstein has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Stanley Osher, Christoph Studer, Richard G. Baraniuk, Simon Setzer, Brendan O’Donoghue, Xavier Bresson, Gavin Taylor, Micah Goldblum, Oscar Castañeda and Zheng Xu. Their work appears in journals such as IEEE Transactions on Image Processing, SIAM Journal on Imaging Sciences, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, IEEE Journal on Selected Areas in Communications and IEEE Transactions on Circuits & Systems II Express Briefs.
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.