Antonio Torralba Google Scholar: h-index, Total Citations, and Citation Map
Antonio Torralba's h-index is 165 (363 i10-index, 175,697+ total citations across 649+ publications) according to Google Scholar as of October 2026. Antonio Torralba is affiliated with MIT.
Antonio Torralba is a researcher affiliated with MIT, specializing in vision, computer vision. Their work has been cited 175,697 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Antonio Torralba's Citation Metrics
Bibliometric impact based on 649 indexed publications.
- H-Index
- 165
- i10-Index
- 363
- Total Citations
- 175,697
- Citing Countries
- 96
As of October 2026.
Antonio Torralba has an h-index of 165 and 175,697 total citations across 649 publications, with research cited by institutions in 96 countries.
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Global Impact Map
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Learning deep features for discriminative localization
201615,562
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.
14 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered deep feature learning for scene recognition and advanced the interpretability of deep visual representations through highly cited, independent scholarly work.
The researcher established a foundational holistic representation of the spatial envelope, providing a seminal framework for modeling scene shape that has become a standard reference in the field.
The researcher developed a method for learning deep features to enable discriminative localization, establishing a foundational approach for object detection and visual recognition tasks.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Antonio Torralba's research
Antonio Torralba is a researcher in vision and computer vision at MIT. Their work has been cited 175,697 times across 649 publications (h-index 165), according to Google Scholar.
Their most-cited work, “Learning deep features for discriminative localization” (2016), has accumulated 15,562 citations. Other influential work includes “Modeling the shape of the scene: A holistic representation of the spatial envelope” (2001) with 8,694 citations.
Citations of Antonio Torralba'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.
