Noah Snavely Google Scholar: h-index, Total Citations, and Citation Map
Noah Snavely's h-index is 83 (152 i10-index, 47,307+ total citations across 253+ publications) according to Google Scholar as of October 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 47,307 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Noah Snavely's Citation Metrics
Bibliometric impact based on 253 indexed publications.
- H-Index
- 83
- i10-Index
- 152
- Total Citations
- 47,307
- Citing Countries
- 72
As of October 2026.
Noah Snavely has an h-index of 83 and 47,307 total citations across 253 publications, with research cited by institutions in 72 countries.
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Global Impact Map
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Photo tourism: exploring photo collections in 3D
20065,228
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.
456 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered photo tourism, establishing foundational methods for 3D exploration of photo collections that evolved into large-scale city reconstruction and neural scene chronology.
The researcher pioneered scalable multi-view stereo reconstruction from unstructured internet photo collections, establishing foundational methods for large-scale 3D scene modeling and single-view depth prediction.
The researcher pioneered learning-based view synthesis using multiplane images, establishing a foundational framework for stereo magnification and single-view rendering that has significantly influenced the computer vision community.
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 47,307 times across 253 publications (h-index 83), according to Google Scholar.
Their most-cited work, “Photo tourism: exploring photo collections in 3D” (2006), has accumulated 5,228 citations. Other influential works include “Photo tourism: exploring photo collections in 3D” (2006) with 5,217 citations and “Unsupervised Learning of Depth and Ego-Motion from Video” (2017) with 3,871 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.
