ImageNet classification with deep convolutional neural networks
2012 • 193619 Citations
Published in Advances in Neural Information Processing Systems 25 (NIPS 2012)
Geoffrey Hinton
Geoffrey Hinton is a researcher affiliated with Emeritus Prof. Computer Science, University of Toronto, specializing in machine learning, psychology, artificial intelligence. Their work has been cited 1,029,825 times. This profile visualizes their global influence, highlighting strong citation networks in CN.
machine learningpsychologyartificial intelligencecognitive sciencecomputer science
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Emeritus Prof. Computer Science, University of Toronto•
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Geoffrey Hinton's Citation Metrics
Bibliometric impact based on 30 indexed publications.
- H-Index
- 190
- i10-Index
- 526
- Total Citations
- 1,029,825
- Citing Countries
- 38
As of April 2026.
Geoffrey Hinton has an h-index of 190 and 1,029,825 total citations across 30 publications, with research cited by institutions in 38 countries.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
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Top Citing Countries(Limited)
China(CN)
360United States(US)
305United States(US)
210Hong Kong(HK)
47Germany(DE)
45United Kingdom(GB)
45Canada(CA)
32Singapore(SG)
24France(FR)
20Japan(JP)
20Top Citing Institutions(Limited)
Stanford University
160Google
95Meta AI
55Tsinghua University
44Microsoft Research
33Meta
32Huawei
28Peking University
24NVIDIA
22Facebook AI Research
21Visa 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.
Citer Influence Network
Visa-ready visualisation: each outer ring node is a country citing this scholar. Node size & edge weight scale with citing-paper count. Showing top 12 of 12 countries (500 total citations).
Letter of Support — Candidate Recommenders
Ranked by EB-1A / O-1A relevance: independence from your home institution, affiliation with a top-ranked institution, repeat citations of your work, and recency. Reach out to the highest-scoring candidates to request support letters.
- #1
Alexander Pritzel
11.0DeepMind
United Kingdom· Cited your work 3 times
IndependentTop institutionMulti-cite - #2
Charles Blundell
11.0DeepMind
United Kingdom· Cited your work 3 times
IndependentTop institutionMulti-cite - #3
Barret Zoph
11.0Google
United States· Cited your work 3 times
IndependentTop institutionMulti-cite - #4
Fan Liu
9.0Hohai University
China· Cited your work 3 times
IndependentMulti-cite - #5
Jiajun Wu
9.0Stanford University
United States· Cited your work 2 times
IndependentTop institutionMulti-cite - #6
Christopher Ré
9.0Stanford University
USA· Cited your work 2 times
IndependentTop institutionMulti-cite - #7
Ehsan Adeli
9.0Stanford University
USA· Cited your work 2 times
IndependentTop institutionMulti-cite - #8
Xingcheng Yao
9.0Tsinghua University
China· Cited your work 2 times
IndependentTop institutionMulti-cite - #9
Hao He
9.0The Hong Kong University of Science and Technology
Hong Kong· Cited your work 2 times
IndependentTop institutionMulti-cite - #10
Weipeng Zhuo
9.0The Hong Kong University of Science and Technology
Hong Kong· Cited your work 2 times
IndependentTop institutionMulti-cite
Scores combine 5 signals: independence (+3), prestige institution (+2), repeat citations (+2 per paper, cap 5), recent activity (+1), and geography diversity (+1.5). Identity matching uses name + institution; namesakes at the same org are merged.
Cited by 538 papers
20 / 20 independent
Citations flagged as non-independent share the scholar's home institution (University of Toronto). EB-1A & O-1A petitions typically quote the independent-citation count as the stronger evidence of outside recognition.
· cites “ImageNet classification with deep convolutional neural networks”
· cites “ImageNet classification with deep convolutional neural networks”
· cites “ImageNet classification with deep convolutional neural networks”
Yue Liu, Yunjie Tian, Yuzhong Zhao, Hongtian Yu + 5 more
Advances in Neural Information Processing Systems 37 (NeurIPS 2024)· cites “ImageNet classification with deep convolutional neural networks”
· cites “ImageNet classification with deep convolutional neural networks”
· cites “ImageNet classification with deep convolutional neural networks”
· cites “ImageNet classification with deep convolutional neural networks”
· cites “ImageNet classification with deep convolutional neural networks”
· cites “ImageNet classification with deep convolutional neural networks”
· cites “ImageNet classification with deep convolutional neural networks”
Top Cited Works(Showing 10 of 20)
Deep learning
2015 • 110956 Citations
Published in Nature
Visualizing Data using t-SNE
2008 • 67346 Citations
Published in Journal of Machine Learning Research
Dropout: A Simple Way to Prevent Neural Networks from Overfitting
2014 • 62143 Citations
Published in Journal of Machine Learning Research (JMLR)
Learning internal representations by error-propagation
1986 • 61260 Citations
Published in Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Vol. 1: Foundations
1986 publication — 48807 citations
1986 • 48807 Citations
2009 publication — 44479 citations
2009 • 44479 Citations
Distilling the Knowledge in a Neural Network
2015 • 31418 Citations
Published in NIPS 2014 Deep Learning and Representation Learning Workshop
2020 publication — 31366 citations
2020 • 31366 Citations
2010 publication — 30033 citations
2010 • 30033 Citations
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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18,537 citations
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31,366 citations
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