Ian Goodfellow Google Scholar: h-index, Total Citations, and Citation Map
Ian Goodfellow's h-index is 103 (199 i10-index, 434,452+ total citations across 111+ publications) according to Google Scholar as of October 2026. Ian Goodfellow is affiliated with DeepMind.
Ian Goodfellow is a researcher affiliated with DeepMind, specializing in Deep Learning, Artificial Intelligence. Their work has been cited 434,452 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Ian Goodfellow's Citation Metrics
Bibliometric impact based on 111 indexed publications.
- H-Index
- 103
- i10-Index
- 199
- Total Citations
- 434,452
- Citing Countries
- 90
As of October 2026.
Ian Goodfellow has an h-index of 103 and 434,452 total citations across 111 publications, with research cited by institutions in 90 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Ian Goodfellow's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
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.
Generative adversarial networks
2014119,662
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.
595 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered the application of deep convolutional neural networks to multi-digit number recognition in street view imagery, establishing a foundational approach for automated visual data extraction.
The researcher introduced generative adversarial networks, a foundational framework for generative modeling that has achieved widespread adoption and independent validation across the global research community.
The researcher published a seminal 2016 paper on deep learning that has garnered nearly 100,000 citations, establishing a foundational contribution to the field.
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.
About Ian Goodfellow's research
Ian Goodfellow is a researcher in Deep Learning and Artificial Intelligence at DeepMind. Their work has been cited 434,452 times across 111 publications (h-index 103), according to Google Scholar.
Their most-cited work, “Generative adversarial networks” (2014), has accumulated 119,662 citations. Other influential works include “Generative adversarial networks” (2014) with 118,900 citations and “Deep learning” (2016) with 103,025 citations.
Citations of Ian Goodfellow'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.
