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.
| Field | World rank | Where that sits | Top-10% rate | Works |
|---|---|---|---|---|
| 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.
- Artificial IntelligenceSubfield · 27.3 works12×
- Computer ScienceField · 47.5 works6.2×
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.
Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 6.2×. Every wedge is a field page.
- Computer Science 6.2×
- Decision Sciences 2.7×
- Neuroscience 2.6×
- Psychology 2.0×
- Social Sciences 0.9×
- Biochemistry, Genetics and Molecular Biology 0.8×
- Mathematics 0.8×
- Earth and Planetary Sciences 0.8×
- Physics and Astronomy 0.7×
- Economics, Econometrics and Finance 0.7×
- Materials Science 0.6×
- Arts and Humanities 0.5×
- Engineering 0.4×
- Health Professions 0.4×
- Medicine 0.3×
- Agricultural and Biological Sciences 0.2×
- Environmental Science 0.2×
- Business, Management and Accounting 0.1×
- Chemical Engineering 0.1×
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 Mario Callegaro United Kingdom · #446,272 worldwide 65 citations · 23 works
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.
- Semi-Supervised Learning
- Convolutional Networks
- Evolutionary Dynamics
- Social Networks
- Protein
- Algorithmic Bias
- Ethical Challenges
- Unsupervised Learning
- Surveillance
- Fairness
- Neural Machine Translation
- Multi-Agent Systems
- Corpus Linguistics
- Cultural Evolution
- Healthcare
- Semantic Similarity
- Information Retrieval
- Topic Modeling
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Neural Networks
- Big Data
- Text Classification
- Machine Translation
- Word Representation
- Convolutional Neural Networks
- Precision Medicine
- Medical Imaging
- Ethics
- Statistical Machine Translation
- Prediction
- Deep Neural Networks
- Clinical Decision Support
- Language
- Molecular Dynamics
- Reinforcement Learning
- Transparency
- Linguistic Diversity
- Robotics
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
- Deep Learning18▲ 5.4×42 topics
- Machine Learning16▲ 4.9×34 topics
- Neural Networks13▲ 8.6×16 topics
- Artificial Intelligence6▲ 4.7×9 topics
- Big Data6▲ 7.0×9 topics
- Topic Modeling5▲ 36×2 topics
- Text Classification5▲ 32×3 topics
- Information Retrieval5▲ 23×3 topics
- Machine Translation5▲ 29×2 topics
- Semantic Similarity5▲ 39×1 topic
- Word Representation5▲ 39×1 topic
- Healthcare4▲ 3.5×6 topics
- Convolutional Neural Networks3▲ 4.3×10 topics
- Cultural Evolution3▲ 63×2 topics
- Precision Medicine3▲ 6.4×4 topics
- Corpus Linguistics3▲ 13×3 topics
- Medical Imaging3▲ 5.3×4 topics
- Multi-Agent Systems3▲ 14×4 topics
- Ethics2▲ 5.3×2 topics
- Neural Machine Translation2▲ 27×1 topic
- Statistical Machine Translation2▲ 27×1 topic
- Fairness2▲ 29×2 topics
- Prediction2▲ 32×3 topics
- Surveillance2▲ 9.3×3 topics
- Deep Neural Networks2▲ 22×3 topics
- Unsupervised Learning2▲ 17×3 topics
- Clinical Decision Support2▲ 16×1 topic
- Ethical Challenges2▲ 11×1 topic
- Language2▲ 9.1×2 topics
- Algorithmic Bias2▲ 32×1 topic
- Molecular Dynamics2▲ 13×3 topics
- Protein2▲ 18×2 topics
- Reinforcement Learning2▲ 20×2 topics
- Social Networks2▲ 7.9×3 topics
- Transparency2▲ 18×1 topic
- Evolutionary Dynamics2▲ 59×2 topics
- Linguistic Diversity2▲ 90×2 topics
- Convolutional Networks2▲ 14×3 topics
- Robotics2▲ 8.1×2 topics
- 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.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Topic Modeling Artificial Intelligence 5 works
- 2 Natural Language Processing Techniques Artificial Intelligence 2 works
- 3 Artificial Intelligence in Healthcare and Education Health Informatics 2 works
- 4 Ethics and Social Impacts of AI Safety Research 2 works
- 5 Language and cultural evolution Cultural Studies 2 works
- 6 Reinforcement Learning in Robotics Artificial Intelligence 2 works
- 7 Explainable Artificial Intelligence (XAI) Artificial Intelligence 2 works
- 8 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 1 works
- 9 Evolutionary Game Theory and Cooperation Sociology and Political Science 1 works
- 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.
World: 28% of research is openly available.
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.
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
- University College London
- Imperial College London
- King's College London
- Queen Mary University of London
- London School of Economics and Political Science
- University of London
- Brunel University of London
- London School of Hygiene & Tropical Medicine
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.