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Company · London · United Kingdom

Google (United Kingdom)

In research, Google (United Kingdom) stands highest in Physical Sciences (#6,908 of 21,541 worldwide), over all time. Relative to its size it is most specialised in Artificial Intelligence and Computer Science — Artificial Intelligence is 11.5× its share of world research.

World rank, 2022–2025
#3,589
of 28,054 · #7,760 all time
Rank in United Kingdom
#143
of 1,094
Research works
275
▲ 29% vs 2013–17
Citations
48k
174.3 per fractional work
Top-10% rate
46.1%
record average 16.5%
Open access
57%
world 28%

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

The fields where it stands highest, over all time, ranked among every institution above the floor in each field.

FieldWorld rankWhere that sitsTop-10% rateWorks
Physical SciencesDomain #6,908 of 21,541 43.6%151

Each strip is that field’s whole ranked pool, with the notch where Google (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).

What does Google (United Kingdom) specialise in?

Where its research is concentrated relative to its size: Artificial Intelligence takes 11.5× the share of its output that it takes of world research.

  1. Artificial IntelligenceSubfield · 27.3 works12×
  2. Computer ScienceField · 47.5 works6.2×
← less than its size predictsmore →

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: 0.19× its world share, 1 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.85× its world share, 4 worksBiochemistry, Geneti…Neuroscience: 2.56× its world share, 4 worksNeuroscienceChemical Engineering: 0.08× its world share, 0 worksChemical EngineeringComputer Science: 6.23× its world share, 48 worksComputer ScienceEarth and Planetary Sciences: 0.78× its world share, 1 worksEarth and Planetary …Engineering: 0.38× its world share, 6 worksEngineeringEnvironmental Science: 0.19× its world share, 1 worksEnvironmental ScienceMaterials Science: 0.57× its world share, 2 worksMaterials ScienceMathematics: 0.82× its world share, 1 worksMathematicsPhysics and Astronomy: 0.73× its world share, 2 worksPhysics and AstronomyHealth Professions: 0.37× its world share, 1 worksHealth ProfessionsMedicine: 0.29× its world share, 5 worksMedicineArts and Humanities: 0.49× its world share, 1 worksArts and HumanitiesBusiness, Management and Accounting: 0.12× its world share, 0 worksBusiness, Management…Decision Sciences: 2.66× its world share, 2 worksDecision SciencesEconomics, Econometrics and Finance: 0.69× its world share, 1 worksEconomics, Econometr…Psychology: 2.02× its world share, 6 worksPsychologySocial Sciences: 0.87× its world share, 11 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Computer Science, 6.2×. Every wedge is a field page.

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

Ranked on the composite score, Mario Callegaro lead among researchers whose main affiliation is Google (United Kingdom).

  1. 1 Mario Callegaro United Kingdom · #446,272 worldwide 65 citations · 23 works
All ranked researchers at Google (United Kingdom)

Which keywords describe research at Google (United Kingdom)?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Big Data, Topic Modeling, Artificial Intelligence, Text Classification and Information Retrieval.

▲ 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 Learning18▲ 5.4×42 topics
  2. Machine Learning16▲ 4.9×34 topics
  3. Neural Networks13▲ 8.6×16 topics
  4. Artificial Intelligence6▲ 4.7×9 topics
  5. Big Data6▲ 7.0×9 topics
  6. Topic Modeling5▲ 36×2 topics
  7. Text Classification5▲ 32×3 topics
  8. Information Retrieval5▲ 23×3 topics
  9. Machine Translation5▲ 29×2 topics
  10. Semantic Similarity5▲ 39×1 topic
  11. Word Representation5▲ 39×1 topic
  12. Healthcare4▲ 3.5×6 topics
  13. Convolutional Neural Networks3▲ 4.3×10 topics
  14. Cultural Evolution3▲ 63×2 topics
  15. Precision Medicine3▲ 6.4×4 topics
  16. Corpus Linguistics3▲ 13×3 topics
  17. Medical Imaging3▲ 5.3×4 topics
  18. Multi-Agent Systems3▲ 14×4 topics
  19. Ethics2▲ 5.3×2 topics
  20. Neural Machine Translation2▲ 27×1 topic
  21. Statistical Machine Translation2▲ 27×1 topic
  22. Fairness2▲ 29×2 topics
  23. Prediction2▲ 32×3 topics
  24. Surveillance2▲ 9.3×3 topics
  25. Deep Neural Networks2▲ 22×3 topics
  26. Unsupervised Learning2▲ 17×3 topics
  27. Clinical Decision Support2▲ 16×1 topic
  28. Ethical Challenges2▲ 11×1 topic
  29. Language2▲ 9.1×2 topics
  30. Algorithmic Bias2▲ 32×1 topic
  31. Molecular Dynamics2▲ 13×3 topics
  32. Protein2▲ 18×2 topics
  33. Reinforcement Learning2▲ 20×2 topics
  34. Social Networks2▲ 7.9×3 topics
  35. Transparency2▲ 18×1 topic
  36. Evolutionary Dynamics2▲ 59×2 topics
  37. Linguistic Diversity2▲ 90×2 topics
  38. Convolutional Networks2▲ 14×3 topics
  39. Robotics2▲ 8.1×2 topics
  40. Semi-Supervised Learning2▲ 17×3 topics

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

By volume in 2022–2025: Topic Modeling, Natural Language Processing Techniques, Artificial Intelligence in Healthcare and Education and Ethics and Social Impacts of AI.

  1. 1 Topic Modeling Artificial Intelligence 5 works
  2. 2 Natural Language Processing Techniques Artificial Intelligence 2 works
  3. 3 Artificial Intelligence in Healthcare and Education Health Informatics 2 works
  4. 4 Ethics and Social Impacts of AI Safety Research 2 works
  5. 5 Language and cultural evolution Cultural Studies 2 works
  6. 6 Reinforcement Learning in Robotics Artificial Intelligence 2 works
  7. 7 Explainable Artificial Intelligence (XAI) Artificial Intelligence 2 works
  8. 8 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 1 works
  9. 9 Evolutionary Game Theory and Cooperation Sociology and Political Science 1 works
  10. 10 Neural dynamics and brain function Cognitive Neuroscience 1 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 available57.2%not open42.8%

World: 28% of research is openly available.

with international co-authors49.6%domestic only50.4%

World: 19% is written across borders.

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

Output in 2018–2022 was 29% 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.