Noah Snavely: h-index, Total Citations, and Citation Map
Noah Snavely's h-index is 82 (152 i10-index, 46,539+ total citations across 251+ publications) according to Google Scholar as of June 2026. Noah Snavely is affiliated with Cornell University and Google DeepMind.
Noah Snavely is a researcher affiliated with Cornell University and Google DeepMind, specializing in Computer Vision, Computer Graphics, Ducks. Their work has been cited 46,539 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Noah Snavely's Citation Metrics
Bibliometric impact based on 251 indexed publications.
- H-Index
- 82
- i10-Index
- 152
- Total Citations
- 46,539
- Citing Countries
- 33
As of June 2026.
Noah Snavely has an h-index of 82 and 46,539 total citations across 251 publications, with research cited by institutions in 33 countries.
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We've mapped 5,000 of 46,539 citations for Noah Snavely
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Global Impact Map
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Photo tourism: exploring photo collections in 3D
20065,186
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
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.
The researcher pioneered photo tourism, a method for exploring photo collections in 3D, establishing a foundational framework for spatially organizing and navigating large-scale image datasets.
The researcher pioneered methods for modeling global geographic structures by leveraging large-scale internet photo collections, establishing a foundational approach in computer vision.
The researcher introduced a foundational framework for rapid system construction, as evidenced by the seminal 2011 paper 'Building rome in a day' and its substantial independent citation record.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Noah Snavely's research
Noah Snavely is a researcher in Computer Vision, Computer Graphics and Ducks at Cornell University and Google DeepMind. Their work has been cited 46,539 times across 251 publications (h-index 82), according to Google Scholar.
Their most-cited work, “Photo tourism: exploring photo collections in 3D” (2006), has accumulated 5,186 citations. Other influential works include “Unsupervised Learning of Depth and Ego-Motion from Video” (2017) with 3,824 citations and “Modeling the World from Internet Photo Collections” (2008) with 3,133 citations.
Citations of Noah Snavely'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.
