Simon Osindero Google Scholar: h-index, Total Citations, and Citation Map
Simon Osindero's h-index is 44 (72 i10-index, 74,614+ total citations across 100+ publications) according to Google Scholar as of October 2026. Simon Osindero is affiliated with DeepMind.
Simon Osindero is a researcher affiliated with DeepMind, specializing in various fields. Their work has been cited 74,614 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Simon Osindero's Citation Metrics
Bibliometric impact based on 100 indexed publications.
- H-Index
- 44
- i10-Index
- 72
- Total Citations
- 74,614
- Citing Countries
- 73
As of October 2026.
Simon Osindero has an h-index of 44 and 74,614 total citations across 100 publications, with research cited by institutions in 73 countries.
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A fast learning algorithm for deep belief nets
200624,376
Top Citing Countries
Top Citing Institutions
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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.
30 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered sparse topographic representations using student-t distributions, establishing a foundational framework for energy-based models and deep learning algorithms that significantly advanced unsupervised feature learning.
The researcher introduced conditional generative adversarial networks, establishing a foundational framework for controlling image generation processes that has become a standard approach in the field.
The researcher provided a seminal forward-looking analysis of the artificial intelligence field's trajectory, establishing a foundational framework for understanding the discipline's evolution over the subsequent half-century.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Simon Osindero's research
Simon Osindero is a researcher at DeepMind. Their work has been cited 74,614 times across 100 publications (h-index 44), according to Google Scholar.
Their most-cited work, “A fast learning algorithm for deep belief nets” (2006), has accumulated 24,376 citations. Other influential works include “Conditional generative adversarial nets” (2014) with 17,764 citations and “Training compute-optimal large language models” (2022) with 5,139 citations.
Citations of Simon Osindero'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.
