Andrew Zisserman: h-index, Total Citations, and Citation Map
Andrew Zisserman's h-index is 210 (714 i10-index, 508,997+ total citations across 5+ publications) according to Google Scholar as of May 2026. Andrew Zisserman is affiliated with University of Oxford.
Andrew Zisserman is a researcher affiliated with University of Oxford, specializing in Computer Vision, Machine Learning. Their work has been cited 508,997 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Andrew Zisserman's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 210
- i10-Index
- 714
- Total Citations
- 508,997
- Citing Countries
- 20
As of May 2026.
Andrew Zisserman has an h-index of 210 and 508,997 total citations across 5 publications, with research cited by institutions in 20 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Andrew Zisserman's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
We've mapped 5,000 of 508,997 citations for Andrew Zisserman
We've shown the most-cited 5,000. Unlock the full crawl (508,947 more citations) to see every institution citing this scholar.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
Pins will appear here as institutions are resolved — no need to refresh.
Top Cited Works
Tip: clickto hide a row from the map
Very deep convolutional networks for large-scale image recognition
2014161,256
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.
6 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher advanced large-scale image recognition by developing very deep convolutional networks, a foundational contribution evidenced by over 160,000 citations and near-universal independent adoption.
The researcher established a foundational theoretical framework for multiple view geometry in computer vision, codified in a seminal textbook that has become a standard reference in the field.
The researcher established the PASCAL VOC Challenge, a seminal benchmark that standardized visual object class recognition and catalyzed widespread adoption of rigorous evaluation in computer vision.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
Related Guides
Learn how to use citation maps for your research and visa applications.
