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Company · London · United Kingdom

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.

FieldWorld rankWhere that sitsTop-10% rateWorksAll 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.

  1. Computer Vision and Pattern RecognitionSubfield · 23.5 works16×
  2. Artificial IntelligenceSubfield · 42.9 works15×
  3. Computer ScienceField · 90.9 works9.8×
← 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: 0.02× its world share, 0 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.10× its world share, 1 worksBiochemistry, Geneti…Neuroscience: 1.29× its world share, 2 worksNeuroscienceChemical Engineering: 0.20× its world share, 0 worksChemical EngineeringChemistry: 0.05× its world share, 0 worksChemistryComputer Science: 9.76× its world share, 91 worksComputer ScienceEarth and Planetary Sciences: 0.72× its world share, 1 worksEarth and Planetary …Engineering: 0.73× its world share, 13 worksEngineeringEnvironmental Science: 0.03× its world share, 0 worksEnvironmental ScienceMathematics: 0.35× its world share, 0 worksMathematicsPhysics and Astronomy: 0.29× its world share, 1 worksPhysics and AstronomyHealth Professions: 0.11× its world share, 0 worksHealth ProfessionsMedicine: 0.13× its world share, 3 worksMedicineArts and Humanities: 0.06× its world share, 0 worksArts and HumanitiesBusiness, Management and Accounting: 0.08× its world share, 0 worksBusiness, Management…Decision Sciences: 1.01× its world share, 1 worksDecision SciencesEconomics, Econometrics and Finance: 0.07× its world share, 0 worksEconomics, Econometr…Psychology: 0.53× its world share, 2 worksPsychologySocial Sciences: 0.16× its world share, 2 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Computer Science, 9.8×. Every wedge is a field page.

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. 1 Minsik Cho United Kingdom · #1,265,759 worldwide 18 citations · 17 works
  2. 2 Josh Susskind United Kingdom · #1,585,204 worldwide 13 citations · 18 works
All ranked researchers at Apple (United Kingdom)

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.

▲ 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 Learning40▲ 9.7×37 topics
  2. Neural Networks25▲ 13×18 topics
  3. Convolutional Neural Networks22▲ 25×8 topics
  4. Deep Neural Networks10▲ 74×2 topics
  5. Acoustic Modeling10▲ 212×1 topic
  6. Speaker Verification10▲ 212×1 topic
  7. Unsupervised Learning8▲ 46×3 topics
  8. Machine Learning8▲ 1.95×15 topics
  9. Information Retrieval7▲ 28×3 topics
  10. Text Classification7▲ 36×2 topics
  11. Feature Extraction7▲ 12×3 topics
  12. Neural Machine Translation7▲ 59×1 topic
  13. Statistical Machine Translation7▲ 59×1 topic
  14. Machine Translation6▲ 32×1 topic
  15. Word Representation6▲ 44×1 topic
  16. Audio-Visual Speech Recognition6▲ 98×1 topic
  17. Speech Enhancement6▲ 98×1 topic
  18. Audio Signal Classification6▲ 122×1 topic
  19. Music Information Retrieval6▲ 122×1 topic
  20. Representation Learning6▲ 33×3 topics
  21. Semi-Supervised Learning4▲ 29×3 topics
  22. Convolutional Networks4▲ 23×3 topics
  23. Image Classification4▲ 18×2 topics
  24. Reinforcement Learning4▲ 29×2 topics
  25. Markov Decision Processes4▲ 140×1 topic
  26. Spoken Dialogue Systems4▲ 140×1 topic
  27. Transfer Learning4▲ 16×3 topics
  28. 3D Reconstruction3▲ 31×2 topics
  29. Image Recognition3▲ 21×1 topic
  30. Object Detection3▲ 22×1 topic
  31. Point Clouds3▲ 31×2 topics
  32. Meta-Learning3▲ 34×2 topics
  33. Domain Adaptation3▲ 52×1 topic
  34. Few-Shot Learning3▲ 52×1 topic
  35. Depth Estimation3▲ 27×1 topic
  36. Stereo Vision3▲ 45×1 topic
  37. Feature Matching2▲ 34×1 topic
  38. Local Descriptors2▲ 34×1 topic
  39. Generative Adversarial Networks2▲ 25×2 topics
  40. 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.

  1. 1 Speech Recognition and Synthesis Artificial Intelligence 10 works
  2. 2 Natural Language Processing Techniques Artificial Intelligence 7 works
  3. 3 Topic Modeling Artificial Intelligence 6 works
  4. 4 Speech and Audio Processing Signal Processing 6 works
  5. 5 Music and Audio Processing Signal Processing 6 works
  6. 6 Speech and dialogue systems Artificial Intelligence 4 works
  7. 7 Advanced Neural Network Applications Computer Vision and Pattern Recognition 3 works
  8. 8 Domain Adaptation and Few-Shot Learning Artificial Intelligence 3 works
  9. 9 Advanced Vision and Imaging Computer Vision and Pattern Recognition 3 works
  10. 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.

openly available36.3%not open63.7%

World: 28% of research is openly available.

with international co-authors38.4%domestic only61.6%

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.

1990200020102020
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.