Yoshua Bengio Google Scholar: h-index, Total Citations, and Citation Map
Yoshua Bengio's h-index is 254 (1038 i10-index, 1,171,518+ total citations across 1,000+ publications) according to Google Scholar as of October 2026. Yoshua Bengio is affiliated with Professor of computer science, University of Montreal, Mila, IVADO, CIFAR.
Yoshua Bengio is a researcher affiliated with Professor of computer science, University of Montreal, Mila, IVADO, CIFAR, specializing in Machine learning, deep learning, artificial intelligence. Their work has been cited 1,171,518 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Yoshua Bengio's Citation Metrics
Bibliometric impact based on 1,000 indexed publications. Of these, 18 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 254
- i10-Index
- 1038
- Total Citations
- 1,171,518
- Citing Countries
- 118
As of October 2026.
Yoshua Bengio has an h-index of 254 and 1,171,518 total citations across 1000 publications, with research cited by institutions in 118 countries.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
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Generative Adversarial Nets
2014114,814
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.
156 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered gradient-based learning for document recognition and advanced deep learning and generative adversarial networks, establishing foundational methods widely adopted by independent researchers.
The researcher published a seminal 2016 Nature paper on deep learning that has garnered over 96,000 citations, establishing a foundational reference point for the field.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Yoshua Bengio's research
Yoshua Bengio is a researcher in Machine learning, deep learning and artificial intelligence at Professor of computer science, University of Montreal, Mila, IVADO, CIFAR. Their work has been cited 1,171,518 times across 1,000 publications (h-index 254), according to Google Scholar.
Their most-cited work, “Generative Adversarial Nets” (2014), has accumulated 114,814 citations. Other influential works include “Generative Adversarial Nets” (2014) with 114,814 citations and “Deep learning” (2015) with 111,721 citations.
Citations of Yoshua Bengio's research come primarily from United States, China 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.
