Apple (United Kingdom)
In research, Apple (United Kingdom) stands highest in Computer Science (#835 of 4,667 worldwide) and Physical Sciences (#6,009 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Science — Computer Vision and Pattern Recognition is 15.6× its share of world research.
- World rank, 2022–2025
- #10,521 of 28,054 · #25,362 all time
- Rank in United Kingdom
- #390 of 1,094
- Research works
- 180 ▲ 315% vs 2013–17
- Citations
- 2.9k 16.3 per fractional work
- Top-10% rate
- 29.9% record average 16.5%
- Open access
- 36% world 28%
What is Apple (United Kingdom) known for in research?
The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Computer ScienceField | #835 of 4,667 | 32.3% | 91 | — | |
| Physical SciencesDomain | #6,009 of 12,888 | 31.3% | 107 | #14039 |
Each strip is that field’s whole ranked pool, with the notch where Apple (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 Apple (United Kingdom) specialise in?
Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 15.6× the share of its output that it takes of world research.
- Computer Vision and Pattern RecognitionSubfield · 23.5 works16×
- Artificial IntelligenceSubfield · 42.9 works15×
- Computer ScienceField · 90.9 works9.8×
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, 9.8×. Every wedge is a field page.
- Computer Science 9.8×
- Neuroscience 1.3×
- Decision Sciences 1.0×
- Engineering 0.7×
- Earth and Planetary Sciences 0.7×
- Psychology 0.5×
- Mathematics 0.3×
- Physics and Astronomy 0.3×
- Chemical Engineering 0.2×
- Social Sciences 0.2×
- Medicine 0.1×
- Health Professions 0.1×
- Biochemistry, Genetics and Molecular Biology 0.1×
- Business, Management and Accounting 0.1×
- Economics, Econometrics and Finance 0.1×
- Arts and Humanities 0.1×
- Chemistry 0.1×
- Environmental Science 0.0×
- Agricultural and Biological Sciences 0.0×
Who are the top researchers at Apple (United Kingdom)?
Ranked on the composite score, Minsik Cho and Josh Susskind lead among researchers whose main affiliation is Apple (United Kingdom).
- 1 Minsik Cho United Kingdom · #1,265,759 worldwide 18 citations · 17 works
- 2 Josh Susskind United Kingdom · #1,585,204 worldwide 13 citations · 18 works
Which keywords describe research at Apple (United Kingdom)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Convolutional Neural Networks, Deep Neural Networks, Acoustic Modeling, Speaker Verification, Unsupervised Learning and Information Retrieval.
- Image Captioning
- Local Descriptors
- Stereo Vision
- Few-Shot Learning
- Meta-Learning
- Object Detection
- 3D Reconstruction
- Spoken Dialogue Systems
- Reinforcement Learning
- Convolutional Networks
- Representation Learning
- Audio Signal Classification
- Audio-Visual Speech Recognition
- Machine Translation
- Neural Machine Translation
- Text Classification
- Machine Learning
- Speaker Verification
- Deep Neural Networks
- Neural Networks
- Deep Learning
- Convolutional Neural Networks
- Acoustic Modeling
- Unsupervised Learning
- Information Retrieval
- Feature Extraction
- Statistical Machine Translation
- Word Representation
- Speech Enhancement
- Music Information Retrieval
- Semi-Supervised Learning
- Image Classification
- Markov Decision Processes
- Transfer Learning
- Image Recognition
- Point Clouds
- Domain Adaptation
- Depth Estimation
- Feature Matching
- Generative Adversarial Networks
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 Learning40▲ 9.7×37 topics
- Neural Networks25▲ 13×18 topics
- Convolutional Neural Networks22▲ 25×8 topics
- Deep Neural Networks10▲ 74×2 topics
- Acoustic Modeling10▲ 212×1 topic
- Speaker Verification10▲ 212×1 topic
- Unsupervised Learning8▲ 46×3 topics
- Machine Learning8▲ 1.95×15 topics
- Information Retrieval7▲ 28×3 topics
- Text Classification7▲ 36×2 topics
- Feature Extraction7▲ 12×3 topics
- Neural Machine Translation7▲ 59×1 topic
- Statistical Machine Translation7▲ 59×1 topic
- Machine Translation6▲ 32×1 topic
- Word Representation6▲ 44×1 topic
- Audio-Visual Speech Recognition6▲ 98×1 topic
- Speech Enhancement6▲ 98×1 topic
- Audio Signal Classification6▲ 122×1 topic
- Music Information Retrieval6▲ 122×1 topic
- Representation Learning6▲ 33×3 topics
- Semi-Supervised Learning4▲ 29×3 topics
- Convolutional Networks4▲ 23×3 topics
- Image Classification4▲ 18×2 topics
- Reinforcement Learning4▲ 29×2 topics
- Markov Decision Processes4▲ 140×1 topic
- Spoken Dialogue Systems4▲ 140×1 topic
- Transfer Learning4▲ 16×3 topics
- 3D Reconstruction3▲ 31×2 topics
- Image Recognition3▲ 21×1 topic
- Object Detection3▲ 22×1 topic
- Point Clouds3▲ 31×2 topics
- Meta-Learning3▲ 34×2 topics
- Domain Adaptation3▲ 52×1 topic
- Few-Shot Learning3▲ 52×1 topic
- Depth Estimation3▲ 27×1 topic
- Stereo Vision3▲ 45×1 topic
- Feature Matching2▲ 34×1 topic
- Local Descriptors2▲ 34×1 topic
- Generative Adversarial Networks2▲ 25×2 topics
- Image Captioning2▲ 41×1 topic
Which research topics does Apple (United Kingdom) publish most on?
By volume in 2022–2025: Speech Recognition and Synthesis, Natural Language Processing Techniques, Topic Modeling and Speech and Audio Processing.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Speech Recognition and Synthesis Artificial Intelligence 10 works
- 2 Natural Language Processing Techniques Artificial Intelligence 7 works
- 3 Topic Modeling Artificial Intelligence 6 works
- 4 Speech and Audio Processing Signal Processing 6 works
- 5 Music and Audio Processing Signal Processing 6 works
- 6 Speech and dialogue systems Artificial Intelligence 4 works
- 7 Advanced Neural Network Applications Computer Vision and Pattern Recognition 3 works
- 8 Domain Adaptation and Few-Shot Learning Artificial Intelligence 3 works
- 9 Advanced Vision and Imaging Computer Vision and Pattern Recognition 3 works
- 10 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 2 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 Apple (United Kingdom)'s research output changed?
Output in 2018–2022 was 315% 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.