Tom Goldstein: h-index, Total Citations, and Citation Map
Tom Goldstein's h-index is 99 (264 i10-index, 46,393+ total citations across 493+ publications) according to Google Scholar as of July 2026. Tom Goldstein is affiliated with Volpi-Cupal Professor of Computer Science, University of Maryland.
Tom Goldstein is a researcher affiliated with Volpi-Cupal Professor of Computer Science, University of Maryland, specializing in various fields. Their work has been cited 46,393 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Tom Goldstein's Citation Metrics
Bibliometric impact based on 493 indexed publications.
- H-Index
- 99
- i10-Index
- 264
- Total Citations
- 46,393
- Citing Countries
- 66
As of July 2026.
Tom Goldstein has an h-index of 99 and 46,393 total citations across 493 publications, with research cited by institutions in 66 countries.
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Global Impact Map
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The split Bregman method for L1-regularized problems
20095,625
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
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Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
21 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher established a foundational, cost-effective framework for adversarial training, subsequently extending these robustness principles to aligned language models.
The researcher established a foundational framework for forward-backward splitting algorithms and extended its application to quantized precoding in massive MIMO systems.
The researcher pioneered transferable clean-label poisoning attacks on deep neural networks, establishing a foundational framework for understanding dataset security vulnerabilities in machine learning systems.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Tom Goldstein's research
Tom Goldstein is a researcher at Volpi-Cupal Professor of Computer Science, University of Maryland. Their work has been cited 46,393 times across 493 publications (h-index 99), according to Google Scholar.
Their most-cited work, “The split Bregman method for L1-regularized problems” (2009), has accumulated 5,625 citations. Other influential works include “Visualizing the loss landscape of neural nets” (2018) with 3,221 citations and “Adversarial training for free!” (2019) with 2,073 citations.
Citations of Tom Goldstein's research come primarily from China, United States and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
