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Google DeepMind (United Kingdom)

In research, Google DeepMind (United Kingdom) stands highest in Computer Science (#558 of 4,667 worldwide), Physical Sciences (#1,969 of 12,888 worldwide) and Artificial Intelligence (#504 of 1,884 worldwide), 2022–2025. Relative to its size it is most specialised in Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Science — Artificial Intelligence is 12.7× its share of world research.

deepmind.googleROR OpenAlex
World rank, 2022–2025
#2,276
of 28,054 · #3,909 all time
Rank in United Kingdom
#96
of 1,094
Research works
527
▲ 329% vs 2013–17
Citations
126k
239.9 per fractional work
Top-10% rate
41.7%
record average 16.5%
Open access
69%
world 28%

What is Google DeepMind (United Kingdom) known for in research?

The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.

FieldWorld rankWhere that sitsTop-10% rateWorksAll time
Computer ScienceField #558 of 4,667 38.9%120 #799
Physical SciencesDomain #1,969 of 12,888 39.0%151 #3326
Artificial IntelligenceSubfield #504 of 1,884 34.7%68 #413

Each strip is that field’s whole ranked pool, with the notch where Google DeepMind (United Kingdom) sits in it, in the colour of the band that rank falls in. The track under the rate is the rate itself: it carries no world mark, because the world rate differs by field (from about 6% to 21% in this record).

Which of those standings moved

The same fields on both windows: where it stood over the whole record, and where it stands in 2022–2025. The distance is the story, and it is the one thing the two rank columns above cannot show.

  1. Computer Science#799 #558
  2. Physical Sciences#3,326 #1,969
  3. Artificial Intelligence#413 #504
all time2022–2025, better2022–2025, worse

A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.

What does Google DeepMind (United Kingdom) specialise in?

Where its research is concentrated relative to its size: Artificial Intelligence takes 12.7× the share of its output that it takes of world research.

  1. Artificial IntelligenceSubfield · 68.1 works13×
  2. Computer Vision and Pattern RecognitionSubfield · 30.7 works11×
  3. Computer ScienceField · 120.5 works7.0×
← less than its size predicts1×more →

Location quotient, a volume reading rather than an impact one. It surfaces small, lopsided specialities.

Field profile

Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.

Agricultural and Biological Sciences: 0.07× its world share, 1 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.80× its world share, 10 worksBiochemistry, Geneti…Immunology and Microbiology: 0.05× its world share, 0 worksImmunology and Micro…Neuroscience: 2.97× its world share, 11 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.11× its world share, 0 worksPharmacology, Toxico…Chemical Engineering: 0.04× its world share, 0 worksChemical EngineeringChemistry: 0.07× its world share, 0 worksChemistryComputer Science: 6.95× its world share, 120 worksComputer ScienceEarth and Planetary Sciences: 0.37× its world share, 1 worksEarth and Planetary …Engineering: 0.44× its world share, 15 worksEngineeringEnvironmental Science: 0.19× its world share, 2 worksEnvironmental ScienceMaterials Science: 0.43× its world share, 3 worksMaterials ScienceMathematics: 1.75× its world share, 5 worksMathematicsPhysics and Astronomy: 0.94× its world share, 5 worksPhysics and AstronomyHealth Professions: 0.27× its world share, 2 worksHealth ProfessionsMedicine: 0.17× its world share, 7 worksMedicineArts and Humanities: 0.20× its world share, 1 worksArts and HumanitiesBusiness, Management and Accounting: 0.17× its world share, 1 worksBusiness, Management…Decision Sciences: 3.28× its world share, 7 worksDecision SciencesEconomics, Econometrics and Finance: 0.98× its world share, 5 worksEconomics, Econometr…Psychology: 1.27× its world share, 9 worksPsychologySocial Sciences: 0.65× its world share, 18 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 7.0×. Every wedge is a field page.

Who are the top researchers at Google DeepMind (United Kingdom)?

Ranked on the composite score, David Silver, Demis Hassabis and Danilo Jimenez Rezende lead among researchers whose main affiliation is Google DeepMind (United Kingdom).

  1. 1 David Silver United Kingdom · #7,651 worldwide 6.1k citations · 51 works
  2. 2 Demis Hassabis United Kingdom · #19,334 worldwide 5.8k citations · 38 works
  3. 3 Danilo Jimenez Rezende United Kingdom · #35,561 worldwide 1.1k citations · 32 works
  4. 4 Raia Hadsell United Kingdom · #43,899 worldwide 2.9k citations · 29 works
  5. 5 Hado van Hasselt United Kingdom · #44,062 worldwide 3.1k citations · 29 works
  6. 6 João Carreira United Kingdom · #58,718 worldwide 936 citations · 27 works
  7. 7 Shakir Mohamed United Kingdom · #78,689 worldwide 961 citations · 24 works
  8. 8 Jean-Baptiste Alayrac United Kingdom · #104,152 worldwide 454 citations · 24 works
  9. 9 Josh Merel United Kingdom · #126,451 worldwide 321 citations · 21 works
  10. 10 Alexander Pritzel United Kingdom · #135,747 worldwide 3.9k citations · 19 works
All ranked researchers at Google DeepMind (United Kingdom)

Which keywords describe research at Google DeepMind (United Kingdom)?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Multi-Agent Systems, Reinforcement Learning, Robotics, Unsupervised Learning and Autonomous Control.

▲ more of its work than of the world’s◆ about the world’s share▼ less than the world’s

Size is fractional works in 2022–2025 in the topics tagged with each word; colour is the word's share of this institution's work against its share of the world's. The 40 words are chosen for being large and distinctive. Each links to the topic it comes from most.

All 40 words, with their numbers
  1. Deep Learning55▲ 7.2×55 topics
  2. Neural Networks38▲ 11×23 topics
  3. Machine Learning29▲ 4.0×49 topics
  4. Multi-Agent Systems12▲ 29×3 topics
  5. Reinforcement Learning12▲ 48×2 topics
  6. Robotics11▲ 20×3 topics
  7. Artificial Intelligence10▲ 3.4×11 topics
  8. Unsupervised Learning10▲ 33×3 topics
  9. Autonomous Control10▲ 138×1 topic
  10. Policy Gradient10▲ 138×1 topic
  11. Big Data10▲ 4.9×13 topics
  12. Representation Learning9▲ 28×3 topics
  13. Convolutional Networks8▲ 27×3 topics
  14. Convolutional Neural Networks8▲ 4.9×11 topics
  15. Semi-Supervised Learning8▲ 31×3 topics
  16. Fairness8▲ 40×2 topics
  17. Topic Modeling8▲ 23×2 topics
  18. Information Retrieval7▲ 15×3 topics
  19. Machine Translation7▲ 20×2 topics
  20. Surveillance7▲ 12×3 topics
  21. Text Classification7▲ 21×3 topics
  22. Ethics7▲ 6.6×3 topics
  23. Semantic Similarity7▲ 26×1 topic
  24. Word Representation7▲ 26×1 topic
  25. Meta-Learning7▲ 36×2 topics
  26. Image Captioning6▲ 57×1 topic
  27. Visual Question Answering6▲ 35×1 topic
  28. Classification6▲ 6.1×8 topics
  29. Transfer Learning6▲ 14×3 topics
  30. Algorithmic Bias6▲ 38×1 topic
  31. Deep Neural Networks6▲ 23×3 topics
  32. Transparency6▲ 21×1 topic
  33. Corpus Linguistics6▲ 12×2 topics
  34. Neural Machine Translation5▲ 25×1 topic
  35. Statistical Machine Translation5▲ 25×1 topic
  36. Domain Adaptation5▲ 46×1 topic
  37. Few-Shot Learning5▲ 46×1 topic
  38. Prediction5▲ 29×3 topics
  39. Protein5▲ 18×2 topics
  40. Molecular Dynamics4▲ 12×3 topics

Which research topics does Google DeepMind (United Kingdom) publish most on?

By volume in 2022–2025: Reinforcement Learning in Robotics, Topic Modeling, Multimodal Machine Learning Applications and Ethics and Social Impacts of AI.

Reinforcement Learning in Robotics: 10 fractional worksTopic Modeling7Topic Modeling: 7 fractional worksMultimodal Machine Learn…6Multimodal Machine Learning Applications: 6 fractional worksEthics and Social Impact…6Ethics and Social Impacts of AI: 6 fractional worksNatural Language Processing Techniques: 5 fractional worksDomain Adaptation and Few-Shot Learning: 5 fractional worksHuman Pose and Action Re…4Human Pose and Action Recognition: 4 fractional worksAdvanced Image and Video Retrieval Techniques: 4 fractional worksEvolutionary Algorithms and Applications: 4 fractional worksArtificial Intelligence in Games: 3 fractional works
Artificial IntelligenceComputer Vision and Pattern RecognitionSafety Research

Area is fractional works; colour is the subfield each topic belongs to.

  1. 1 Reinforcement Learning in Robotics Artificial Intelligence 10 works
  2. 2 Topic Modeling Artificial Intelligence 7 works
  3. 3 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 6 works
  4. 4 Ethics and Social Impacts of AI Safety Research 6 works
  5. 5 Natural Language Processing Techniques Artificial Intelligence 5 works
  6. 6 Domain Adaptation and Few-Shot Learning Artificial Intelligence 5 works
  7. 7 Human Pose and Action Recognition Computer Vision and Pattern Recognition 4 works
  8. 8 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 4 works
  9. 9 Evolutionary Algorithms and Applications Artificial Intelligence 4 works
  10. 10 Artificial Intelligence in Games Artificial Intelligence 3 works

How open and international is its research?

Against the world’s own shares — the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.

openly available69.4%not open30.6%

World: 28% of research is openly available.

with international co-authors60.8%domestic only39.2%

World: 19% is written across borders.

How has Google DeepMind (United Kingdom)'s research output changed?

Output in 2018–2022 was 329% higher than in 2013–2017.

2005201020152020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Other research institutions in London

All research institutions in London

Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners are in the interactive view on the map.