Raia Hadsell
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 US.
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Raia Hadsell's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 59,026
- Citing Countries
- 2
As of April 2026.
Raia Hadsell has an h-index of 1 and 59,026 total citations across 1 publication, with research cited by institutions in 2 countries.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Top Citing Countries(Limited)
Top Citing Institutions(Limited)
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.
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 2 of 2 countries (17 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
Ziming Liu
7.0Massachusetts Institute of Technology
United States· Cited your work 1 time
IndependentTop institution - #2
Marin Soljačić
7.0Massachusetts Institute of Technology
United States· Cited your work 1 time
IndependentTop institution - #3
Yarin Gal
8.5University of Oxford
UK· Cited your work 1 time
IndependentTop institutionDiversifies geography - #4
Ilia Shumailov
8.5University of Oxford
UK· Cited your work 1 time
IndependentTop institutionDiversifies geography - #5
Sachin Vaidya
7.0Massachusetts Institute of Technology
United States· Cited your work 1 time
IndependentTop institution - #6
Max Tegmark
7.0Massachusetts Institute of Technology
United States· Cited your work 1 time
IndependentTop institution - #7
Thomas Y. Hou
7.0California Institute of Technology
United States· Cited your work 1 time
IndependentTop institution - #8
Yixuan Wang
7.0California Institute of Technology
United States· Cited your work 1 time
IndependentTop institution - #9
Zakhar Shumaylov
8.5University of Cambridge
UK· Cited your work 1 time
IndependentTop institutionDiversifies geography - #10
Yiren Zhao
8.5Imperial College London
UK· Cited your work 1 time
IndependentTop institutionDiversifies geography
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 5 papers
Citations flagged as non-independent share the scholar's home institution (DeepMind). EB-1A & O-1A petitions typically quote the independent-citation count as the stronger evidence of outside recognition.
· cites “Overcoming catastrophic forgetting in neural networks”
Zeyu Han, Chao Gao, Jinyang Liu, Jeff (Jun) Zhang + 1 more
Transactions on Machine Learning Research (TMLR)· cites “Overcoming catastrophic forgetting in neural networks”
Ziming Liu, Yixuan Wang, Sachin Vaidya, Fabian Ruehle + 4 more
International Conference on Learning Representations (ICLR) 2025· cites “Overcoming catastrophic forgetting in neural networks”
Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Nicolas Papernot + 2 more
Nature· cites “Overcoming catastrophic forgetting in neural networks”
· cites “Overcoming catastrophic forgetting in neural networks”
Top Cited Works(Showing 1 of 1)
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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