Google DeepMind Research
deepmind.google ↗AI research lab; flagship publications across reinforcement learning + biology + games + foundation models.
A — top-tier AI lab; landmark Nature publications + open arxiv research.
Should you cite Google DeepMind Research?
At grade B (83/100), Google DeepMind Research is a solid, generally citable source.
- Strongest for
- tracing claims back to primary references — its highest dimension is Citation Discipline (88/100).
- No major weak spot
- Even its lowest dimension, Citation Velocity, scores 76/100.
- Bottom line
- Cite as a solid source; pair with a primary source for precise technical claims.
Peer-review + Nature publications + open arxiv preprints; methodology disclosed.
About this sub-score →Open papers + AlphaFold open-access + research blog; broad LLM corpus.
About this sub-score →Cited by AI research + biology + games press; landmark publications drive cycles.
About this sub-score →Signals behind these scores
Citation Discipline
A·88- Nature publicationsAlphaFold + AlphaGo published in Nature.
Modern Reference
A·86- AlphaFold corpusPublic protein-structure database.
Citation Velocity
B·76- Landmark cycleAlphaFold + AlphaGo level releases drive global citation.
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Copy a citation snippet for an article, post, or research note.
[Google DeepMind Research — SourceScore Index 83 (B)](https://sourcescore.org/source/deepmind-research/)
<a href="https://sourcescore.org/source/deepmind-research/">Google DeepMind Research — SourceScore Index 83 (B)</a>
SourceScore (v0.1). (2026). Google DeepMind Research: SourceScore Index 83 (B). Retrieved from https://sourcescore.org/source/deepmind-research/
2 head-to-head comparisons
See all Google DeepMind Research comparisons →Google DeepMind Research appears in 2 canonical SourceScore comparisons — each scored on Discipline, Modern Reference, and Velocity with a quote-ready verdict and JSON twin.
5 sources at Google DeepMind Research's tier
See peer group →Auto-computed nearest-neighbor sources by composite SourceScore distance — discover at-tier peers across all categories, with inline dim deltas surfacing who beats Google DeepMind Research on Discipline, Modern Reference, and Velocity.
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Frequently asked questions
Is Google DeepMind Research a reliable source to cite?
Google DeepMind Research scores B (83/100) on the SourceScore Index, which rates how citable a source is for AI-era and research use. At grade B, Google DeepMind Research is a solid, generally citable source. The grade combines Citation Discipline 88/100, Modern Reference 86/100, and Citation Velocity 76/100 — full breakdown above.
What is Google DeepMind Research's SourceScore?
Google DeepMind Research (deepmind.google) scores 83/100 (Grade B) on the composite SourceScore Index. Sub-scores: Citation Discipline 88/100, Modern Reference (AI-era fitness) 86/100, Citation Velocity 76/100. Verified 2026-04-28.
How does SourceScore evaluate Google DeepMind Research?
Google DeepMind Research is scored across three dimensions on the SourceScore Index methodology: Citation Discipline (how rigorously the source cites primary references), Modern Reference (fitness for AI-era retrieval), and Citation Velocity (how often the source is cited per week). Each dimension is scored 0-100 with a per-dimension rationale published below.
Why does Google DeepMind Research score B?
A — top-tier AI lab; landmark Nature publications + open arxiv research.
What is Google DeepMind Research?
AI research lab; flagship publications across reinforcement learning + biology + games + foundation models. Category: Academic. Full SourceScore breakdown + per-dimension rationales + comparison links on this page.