Andrew Zisserman Google Scholar: h-index, Total Citations, and Citation Map
Andrew Zisserman's h-index is 211 (719 i10-index, 522,240+ total citations across 1,000+ publications) according to Google Scholar as of October 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 522,240 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Andrew Zisserman's Citation Metrics
Bibliometric impact based on 1,000 indexed publications.
- H-Index
- 211
- i10-Index
- 719
- Total Citations
- 522,240
- Citing Countries
- 94
As of October 2026.
Andrew Zisserman has an h-index of 211 and 522,240 total citations across 1000 publications, with research cited by institutions in 94 countries.
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Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
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Very deep convolutional networks for large-scale image recognition
2014165,551
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.
1162 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher established foundational benchmarks and deep learning architectures for large-scale visual object recognition, driving widespread adoption in computer vision.
The researcher established foundational frameworks for multiple view geometry and advanced them into robust temporal tracking and 3D pose estimation systems.
The researcher advanced large-scale image retrieval by developing quantization and aggregation techniques that significantly improved object search accuracy and efficiency.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Andrew Zisserman's research
Andrew Zisserman is a researcher in Computer Vision and Machine Learning at University of Oxford. Their work has been cited 522,240 times across 1,000 publications (h-index 211), according to Google Scholar.
Their most-cited work, “Very deep convolutional networks for large-scale image recognition” (2014), has accumulated 165,551 citations. Other influential works include “Very deep convolutional networks for large-scale image recognition” (2014) with 164,840 citations and “Multiple View Geometry in Computer Vision” (2003) with 38,293 citations.
Citations of Andrew Zisserman'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.
