Raia Hadsell: h-index, Total Citations, and Citation Map
Raia Hadsell's h-index is 1 (1 i10-index, 59,026+ total citations across 1+ publications) according to Google Scholar as of June 2026. Raia Hadsell is affiliated with Google DeepMind.
Raia Hadsell is a researcher affiliated with Google DeepMind, specializing in AI & Machine Learning. Their work has been cited 59,026 times. This profile visualizes their global influence, highlighting strong citation networks in Canada.
Raia Hadsell's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 59,026
- Citing Countries
- 4
As of June 2026.
Raia Hadsell has an h-index of 1 and 59,026 total citations across 1 publication, with research cited by institutions in 4 countries.
Global Impact Map
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Overcoming catastrophic forgetting in neural networks
201712,524
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.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Raia Hadsell's research
Raia Hadsell is a researcher in AI & Machine Learning at Google DeepMind. Their work has been cited 59,026 times across 1 publications, according to Google Scholar.
Their most-cited work, “Overcoming catastrophic forgetting in neural networks” (2017), has accumulated 12,524 citations.
Citations of Raia Hadsell's research come primarily from Canada, United States and China, reflecting international research impact across 4+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
