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Company · Chertsey · United Kingdom

Samsung (United Kingdom)

In research, Samsung (United Kingdom) stands highest in Computer Science (#3,379 of 4,667 worldwide) and Physical Sciences (#11,609 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 20.6× its share of world research.

World rank, 2022–2025
#23,058
of 28,054 · #19,694 all time
Rank in United Kingdom
#859
of 1,094
Research works
417
▲ 31% vs 2013–17
Citations
5.9k
14.1 per fractional work
Top-10% rate
18.1%
record average 16.5%
Open access
32%
world 28%

What is Samsung (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 #3,379 of 4,667 20.6%61 #3661
Physical SciencesDomain #11,609 of 12,888 17.1%79 #11803

Each strip is that field’s whole ranked pool, with the notch where Samsung (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 Samsung (United Kingdom) specialise in?

Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 20.6× the share of its output that it takes of world research.

  1. Computer Vision and Pattern RecognitionSubfield · 23.3 works21×
  2. Artificial IntelligenceSubfield · 24.7 works11×
  3. Computer ScienceField · 60.6 works8.7×
← less than its size predicts1×more →

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: 0.01× its world share, 0 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.29× its world share, 1 worksBiochemistry, Geneti…Immunology and Microbiology: 0.16× its world share, 0 worksImmunology and Micro…Neuroscience: 0.93× its world share, 1 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.26× its world share, 0 worksPharmacology, Toxico…Computer Science: 8.66× its world share, 61 worksComputer ScienceEnergy: 0.64× its world share, 0 worksEnergyEngineering: 1.25× its world share, 17 worksEngineeringEnvironmental Science: 0.04× its world share, 0 worksEnvironmental ScienceMaterials Science: 0.17× its world share, 0 worksMaterials ScienceMathematics: 0.18× its world share, 0 worksMathematicsPhysics and Astronomy: 0.25× its world share, 0 worksPhysics and AstronomyHealth Professions: 0.14× its world share, 0 worksHealth ProfessionsMedicine: 0.16× its world share, 3 worksMedicineArts and Humanities: 0.45× its world share, 1 worksArts and HumanitiesBusiness, Management and Accounting: 0.25× its world share, 1 worksBusiness, Management…Decision Sciences: 0.81× its world share, 1 worksDecision SciencesEconomics, Econometrics and Finance: 0.24× its world share, 0 worksEconomics, Econometr…Psychology: 0.26× its world share, 1 worksPsychologySocial Sciences: 0.05× its world share, 0 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 8.7×. Every wedge is a field page.

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

Ranked on the composite score, Adrian Bulat, Shangbin Wu and Stylianos I. Venieris lead among researchers whose main affiliation is Samsung (United Kingdom).

  1. 1 Adrian Bulat United Kingdom · #114,558 worldwide 446 citations · 31 works
  2. 2 Shangbin Wu United Kingdom · #442,318 worldwide 161 citations · 17 works
  3. 3 Stylianos I. Venieris United Kingdom · #762,518 worldwide 77 citations · 19 works
  4. 4 Mythri Hunukumbure United Kingdom · #803,745 worldwide 46 citations · 18 works
  5. 5 Yinan Qi United Kingdom · #1,411,125 worldwide 47 citations · 23 works
All ranked researchers at Samsung (United Kingdom)

Which keywords describe research at Samsung (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, Unsupervised Learning, Representation Learning, Meta-Learning, Transfer Learning and Semi-Supervised Learning.

▲ 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 Learning32▲ 11×44 topics
  2. Neural Networks18▲ 13×19 topics
  3. Convolutional Neural Networks13▲ 20×10 topics
  4. Unsupervised Learning10▲ 75×3 topics
  5. Machine Learning9▲ 2.9×23 topics
  6. Representation Learning8▲ 66×3 topics
  7. Meta-Learning8▲ 105×2 topics
  8. Transfer Learning7▲ 43×3 topics
  9. Semi-Supervised Learning7▲ 66×3 topics
  10. Domain Adaptation6▲ 141×1 topic
  11. Few-Shot Learning6▲ 141×1 topic
  12. Deep Neural Networks5▲ 56×3 topics
  13. Energy Efficiency5▲ 5.6×10 topics
  14. Image Classification4▲ 27×2 topics
  15. Image Recognition4▲ 34×1 topic
  16. Object Detection4▲ 36×1 topic
  17. Acoustic Modeling4▲ 117×1 topic
  18. Speaker Verification4▲ 117×1 topic
  19. Classification4▲ 9.5×6 topics
  20. Convolutional Networks4▲ 28×3 topics
  21. Beamforming3▲ 34×3 topics
  22. Audio-Visual Speech Recognition3▲ 57×1 topic
  23. Image Captioning3▲ 64×1 topic
  24. Speech Enhancement3▲ 57×1 topic
  25. Visual Question Answering3▲ 39×1 topic
  26. Generative Adversarial Networks3▲ 35×2 topics
  27. 5G Networks2▲ 14×5 topics
  28. Pose Estimation2▲ 24×2 topics
  29. Feature Extraction2▲ 5.8×4 topics
  30. Depth Estimation2▲ 30×2 topics
  31. Heterogeneous Networks2▲ 26×2 topics
  32. Spectral Efficiency2▲ 40×2 topics
  33. Anomaly Detection2▲ 8.4×3 topics
  34. Cellular Networks2▲ 49×1 topic
  35. Massive MIMO2▲ 29×1 topic
  36. Feature Matching2▲ 39×1 topic
  37. Local Descriptors2▲ 39×1 topic
  38. Text Classification2▲ 15×3 topics
  39. Image Segmentation2▲ 17×2 topics
  40. Time Series2▲ 12×2 topics

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

By volume in 2022–2025: Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications, Speech Recognition and Synthesis and Speech and Audio Processing.

  1. 1 Domain Adaptation and Few-Shot Learning Artificial Intelligence 6 works
  2. 2 Advanced Neural Network Applications Computer Vision and Pattern Recognition 4 works
  3. 3 Speech Recognition and Synthesis Artificial Intelligence 4 works
  4. 4 Speech and Audio Processing Signal Processing 3 works
  5. 5 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 3 works
  6. 6 Advanced MIMO Systems Optimization Electrical and Electronic Engineering 2 works
  7. 7 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 2 works
  8. 8 Generative Adversarial Networks and Image Synthesis Computer Vision and Pattern Recognition 2 works
  9. 9 Topic Modeling Artificial Intelligence 2 works
  10. 10 Advanced Vision and Imaging Computer Vision and Pattern Recognition 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 available32.1%not open67.9%

World: 28% of research is openly available.

with international co-authors53.8%domestic only46.2%

World: 19% is written across borders.

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

Output in 2018–2022 was 31% 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.

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.