Tom Goldstein
Impact in
-
- 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
-
- Adversarial Robustness in Machine Learning 25
- Domain Adaptation and Few-Shot Learning 10
- Anomaly Detection Techniques and Applications 8
- Stochastic Gradient Optimization Techniques 8
-
- Advanced Neural Network Applications 13
- 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)Zuxuan Wu (7 shared papers)Larry S. Davis (5 shared papers)
- Journals
- SIAM Journal on Imaging Sciences (2 papers)IEEE Journal on Emerging and Selected Topics in Circuits and Systems (2 papers)IEEE Transactions on Image Processing (2 papers)IEEE Journal on Selected Areas in Communications (1 paper)Journal of Mathematical Imaging and Vision (1 paper)
- Partner nations
- United StatesSwedenGermany
In The Last Decade
Tom Goldstein
94 papers receiving 6.1k citations
Tom Goldstein's Hit Papers
Peers
Comparison fields: 5 of 155
- Computer Vision and Pattern Recognition 2.9k
- Computational Mechanics 1.8k
- Media Technology 730
- Mathematical Physics 385
- Computational Mathematics 24
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 100 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 | 3279 |
| 2 | Fast Alternating Direction Optimization Methods Hit paper breakdown → | 2014 | 530 |
| 3 | Geometric Applications of the Split Bregman Method: Segmentation and Surface Reconstruction Hit paper breakdown → | 2009 | 360 |
| 4 | 2018 | 178 | |
| 5 | 2018 | 175 | |
| 6 | Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses Hit paper breakdown → | 2022 | 157 |
| 7 | 2020 | 149 | |
| 8 | 2018 | 146 | |
| 9 | 2020 | 98 | |
| 10 | 2017 | 93 | |
| 11 | 2023 | 86 | |
| 12 | 2023 | 83 | |
| 13 | 2019 | 77 | |
| 14 | 2017 | 68 | |
| 15 | 2016 | 65 | |
| 16 | 2022 | 63 | |
| 17 | 2022 | 57 | |
| 18 | 2016 | 41 | |
| 19 | 2019 | 40 | |
| 20 | LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition | 2021 | 39 |
About Tom Goldstein
Tom Goldstein is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications and Computational Mechanics, having authored 100 papers that have together received 6.4k indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (25 papers), Advanced MIMO Systems Optimization (19 papers), Advanced Neural Network Applications (13 papers), Domain Adaptation and Few-Shot Learning (10 papers), Sparse and Compressive Sensing Techniques (9 papers), Anomaly Detection Techniques and Applications (8 papers), Stochastic Gradient Optimization Techniques (8 papers) and Advanced Wireless Communication Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.9k citations), Computational Mechanics (1.8k citations), Media Technology (730 citations), Mathematical Physics (385 citations) and Computational Mathematics (24 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, Zuxuan Wu, Larry S. Davis, Micah Goldblum and Zheng Xu. Their work appears in journals such as SIAM Journal on Imaging Sciences, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, IEEE Transactions on Image Processing, IEEE Journal on Selected Areas in Communications and Journal of Mathematical Imaging and Vision.
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.