- Research works
- 75 ▲ 904% vs 2013–17
- Citations
- 1.2k 15.6 per fractional work
- Top-10% rate
- 20.3% record average 16.5%
- Open access
- 62% world 28%
Not ranked overall: Amazon (United Kingdom) is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.
What does Amazon (United Kingdom) specialise in?
Where its research is concentrated relative to its size: Computer Science takes 9.4× the share of its output that it takes of world research.
- Computer ScienceField · 29.9 works9.4×
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, 9.4×. Every wedge is a field page.
- Computer Science 9.4×
- Decision Sciences 6.5×
- Business, Management and Accounting 1.0×
- Psychology 0.5×
- Mathematics 0.5×
- Engineering 0.4×
- Arts and Humanities 0.2×
- Economics, Econometrics and Finance 0.2×
- Social Sciences 0.2×
- Biochemistry, Genetics and Molecular Biology 0.2×
- Physics and Astronomy 0.2×
- Earth and Planetary Sciences 0.2×
- Materials Science 0.1×
- Health Professions 0.1×
- Medicine 0.1×
- Environmental Science 0.0×
Which keywords describe research at Amazon (United Kingdom)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Information Retrieval, Text Classification, Topic Modeling, Machine Translation, Word Representation and Neural Machine Translation.
- Representation Learning
- Mobile Agents
- Security
- Mechanical Turk
- Crowdsourcing
- Bandit Optimization
- Markov Decision Processes
- Hyperparameter Optimization
- Distributed Systems
- Matrix Factorization
- Online Learning
- Convolutional Neural Networks
- Statistical Machine Translation
- Word Representation
- Topic Modeling
- Machine Learning
- Neural Networks
- Deep Learning
- Information Retrieval
- Text Classification
- Machine Translation
- Neural Machine Translation
- Deep Neural Networks
- Big Data
- Collaborative Filtering
- Acoustic Modeling
- Speaker Verification
- Social Networks
- Spoken Dialogue Systems
- Bayesian Optimization
- Fault Tolerance
- Artificial Intelligence
- Semi-Supervised Learning
- Network Management
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 34 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 34 words, with their numbers
- Deep Learning9▲ 6.5×29 topics
- Neural Networks8▲ 12×10 topics
- Information Retrieval4▲ 48×4 topics
- Machine Learning4▲ 2.9×23 topics
- Text Classification4▲ 57×2 topics
- Topic Modeling3▲ 53×2 topics
- Machine Translation3▲ 46×1 topic
- Word Representation3▲ 63×1 topic
- Neural Machine Translation3▲ 71×1 topic
- Statistical Machine Translation3▲ 71×1 topic
- Deep Neural Networks3▲ 58×3 topics
- Convolutional Neural Networks2▲ 7.3×6 topics
- Big Data2▲ 4.9×7 topics
- Online Learning2▲ 4.9×2 topics
- Collaborative Filtering2▲ 108×1 topic
- Matrix Factorization2▲ 108×1 topic
- Acoustic Modeling2▲ 100×1 topic
- Distributed Systems2▲ 22×4 topics
- Speaker Verification2▲ 100×1 topic
- Hyperparameter Optimization1▲ 83×2 topics
- Social Networks1▲ 12×2 topics
- Markov Decision Processes1▲ 145×1 topic
- Spoken Dialogue Systems1▲ 145×1 topic
- Bandit Optimization1▲ 266×1 topic
- Bayesian Optimization1▲ 35×1 topic
- Crowdsourcing1▲ 44×1 topic
- Fault Tolerance1▲ 19×2 topics
- Mechanical Turk1▲ 191×1 topic
- Artificial Intelligence1▲ 1.88×6 topics
- Security1▲ 4.2×2 topics
- Semi-Supervised Learning1▲ 24×3 topics
- Mobile Agents1▲ 267×1 topic
- Network Management1▲ 81×1 topic
- Representation Learning1▲ 18×3 topics
Which research topics does Amazon (United Kingdom) publish most on?
By volume in 2022–2025: Topic Modeling, Natural Language Processing Techniques, Recommender Systems and Techniques and Speech Recognition and Synthesis.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Topic Modeling Artificial Intelligence 3 works
- 2 Natural Language Processing Techniques Artificial Intelligence 3 works
- 3 Recommender Systems and Techniques Information Systems 2 works
- 4 Speech Recognition and Synthesis Artificial Intelligence 2 works
- 5 Speech and dialogue systems Artificial Intelligence 1 works
- 6 Advanced Bandit Algorithms Research Management Science and Operations Research 1 works
- 7 Mobile Crowdsensing and Crowdsourcing Computer Science Applications 1 works
- 8 Software Testing and Debugging Techniques Software 1 works
- 9 Mobile Agent-Based Network Management Computer Networks and Communications 1 works
- 10 Explainable Artificial Intelligence (XAI) Artificial Intelligence 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 Amazon (United Kingdom)'s research output changed?
Output in 2018–2022 was 904% 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.