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Nvidia (United Kingdom)

In research, Nvidia (United Kingdom) stands highest in Computer Science (#187 of 4,667 worldwide) and Physical Sciences (#1,941 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition, Computer Science and Artificial Intelligence — Computer Vision and Pattern Recognition is 8.6× its share of world research.

nvidia.co.uk/page/home.htmlROR OpenAlex
World rank, 2022–2025
#3,220
of 28,054 · #1,784 all time
Rank in United Kingdom
#121
of 1,094
Research works
1k
▲ 26% vs 2013–17
Citations
38k
37.4 per fractional work
Top-10% rate
19.1%
record average 16.5%
Open access
48%
world 28%

What is Nvidia (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 #187 of 4,667 25.8%106 #74
Physical SciencesDomain #1,941 of 12,888 22.9%187 #1166

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

Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 8.6× the share of its output that it takes of world research.

  1. Computer Vision and Pattern RecognitionSubfield · 30.4 works8.6×
  2. Computer ScienceField · 105.6 works4.9×
  3. Artificial IntelligenceSubfield · 29.9 works4.5×
← 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: 0.27× its world share, 4 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.37× its world share, 6 worksBiochemistry, Geneti…Immunology and Microbiology: 0.08× its world share, 0 worksImmunology and Micro…Neuroscience: 0.76× its world share, 3 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.18× its world share, 0 worksPharmacology, Toxico…Chemical Engineering: 0.63× its world share, 1 worksChemical EngineeringChemistry: 0.23× its world share, 1 worksChemistryComputer Science: 4.87× its world share, 106 worksComputer ScienceEarth and Planetary Sciences: 1.07× its world share, 5 worksEarth and Planetary …Energy: 0.04× its world share, 0 worksEnergyEngineering: 1.32× its world share, 55 worksEngineeringEnvironmental Science: 0.72× its world share, 10 worksEnvironmental ScienceMaterials Science: 0.29× its world share, 3 worksMaterials ScienceMathematics: 0.88× its world share, 3 worksMathematicsPhysics and Astronomy: 0.70× its world share, 4 worksPhysics and AstronomyDentistry: 0.04× its world share, 0 worksDentistryHealth Professions: 0.58× its world share, 4 worksHealth ProfessionsMedicine: 0.32× its world share, 17 worksMedicineNursing: 0.06× its world share, 0 worksNursingVeterinary: 0.44× its world share, 0 worksVeterinaryArts and Humanities: 1.03× its world share, 8 worksArts and HumanitiesBusiness, Management and Accounting: 0.65× its world share, 6 worksBusiness, Management…Decision Sciences: 1.68× its world share, 4 worksDecision SciencesEconomics, Econometrics and Finance: 1.18× its world share, 7 worksEconomics, Econometr…Psychology: 0.78× its world share, 7 worksPsychologySocial Sciences: 0.69× its world share, 24 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 4.9×. Every wedge is a field page.

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

Ranked on the composite score, Jan Kautz, Bryan Catanzaro and Tero Karras lead among researchers whose main affiliation is Nvidia (United Kingdom).

  1. 1 Jan Kautz United Kingdom · #1,558 worldwide 3.2k citations · 138 works
  2. 2 Bryan Catanzaro United Kingdom · #5,896 worldwide 1.3k citations · 66 works
  3. 3 Tero Karras United Kingdom · #41,125 worldwide 1.6k citations · 30 works
  4. 4 Timo Aila United Kingdom · #54,999 worldwide 1.7k citations · 27 works
  5. 5 Samuli Laine United Kingdom · #60,915 worldwide 1.5k citations · 26 works
  6. 6 Orazio Gallo United Kingdom · #156,139 worldwide 547 citations · 19 works
  7. 7 Nuttapong Chentanez United Kingdom · #178,531 worldwide 257 citations · 20 works
  8. 8 Andrew Tao United Kingdom · #194,132 worldwide 611 citations · 17 works
  9. 9 Shalini De Mello United Kingdom · #250,648 worldwide 210 citations · 25 works
  10. 10 امیرحسین حقیقی United Kingdom · #431,702 worldwide 1 citations · 29 works
All ranked researchers at Nvidia (United Kingdom)

Which keywords describe research at Nvidia (United Kingdom)?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Parallel Computing, High-Performance Computing, Convolutional Networks, Unsupervised Learning and Convolutional Neural Networks.

▲ 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 Learning47▲ 4.9×57 topics
  2. Machine Learning23▲ 2.5×45 topics
  3. Neural Networks20▲ 4.7×24 topics
  4. Convolutional Neural Networks10▲ 4.7×10 topics
  5. Parallel Computing9▲ 27×3 topics
  6. High-Performance Computing9▲ 38×2 topics
  7. Convolutional Networks9▲ 22×3 topics
  8. Unsupervised Learning8▲ 20×3 topics
  9. GPU Computing7▲ 66×1 topic
  10. Performance Optimization7▲ 39×1 topic
  11. Simulation6▲ 9.0×6 topics
  12. Risk Assessment6▲ 3.2×6 topics
  13. Depth Estimation6▲ 24×2 topics
  14. Visualization6▲ 35×3 topics
  15. Optical Flow5▲ 35×1 topic
  16. Stereo Vision5▲ 35×1 topic
  17. Autonomous Vehicles5▲ 8.2×4 topics
  18. Computer Graphics5▲ 64×1 topic
  19. Computer Vision5▲ 6.2×2 topics
  20. Rendering5▲ 64×1 topic
  21. Fuzzy Mathematics4▲ 77×1 topic
  22. Set Pair Analysis4▲ 77×1 topic
  23. Collision Avoidance4▲ 8.6×3 topics
  24. Distributed Systems4▲ 9.2×5 topics
  25. Image Classification4▲ 8.7×2 topics
  26. FPGA4▲ 39×2 topics
  27. Image Recognition4▲ 11×1 topic
  28. Object Detection4▲ 11×1 topic
  29. Robotics4▲ 5.9×3 topics
  30. Resource Management4▲ 7.7×2 topics
  31. Sensor Fusion4▲ 12×2 topics
  32. Embedded Systems4▲ 29×2 topics
  33. Representation Learning4▲ 9.3×3 topics
  34. 3D Reconstruction4▲ 14×2 topics
  35. Point Clouds4▲ 14×2 topics
  36. Deep Neural Networks3▲ 11×3 topics
  37. Text Classification3▲ 7.6×3 topics
  38. Driver Assistance Systems3▲ 20×1 topic
  39. Trajectory Prediction3▲ 20×1 topic
  40. Word Representation3▲ 9.3×1 topic

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

By volume in 2022–2025: Parallel Computing and Optimization Techniques, Advanced Vision and Imaging, Computer Graphics and Visualization Techniques and Research studies in Vietnam.

Parallel Computing and O…7Parallel Computing and Optimization Techniques: 7 fractional worksAdvanced Vision and Imag…5Advanced Vision and Imaging: 5 fractional worksComputer Graphics and Vi…5Computer Graphics and Visualization Techniques: 5 fractional worksResearch studies in Viet…4Research studies in Vietnam: 4 fractional worksAdvanced Neural Network Applications: 4 fractional worksAutonomous Vehicle Technology and Safety: 3 fractional worksTopic Modeling3Topic Modeling: 3 fractional worksRobotics and Sensor-Based Localization: 3 fractional works3D Shape Modeling and Analysis: 3 fractional worksEmbedded Systems Design …3Embedded Systems Design Techniques: 3 fractional works
Hardware and ArchitectureComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignEcology4 others

Area is fractional works; colour is the subfield each topic belongs to.

  1. 1 Parallel Computing and Optimization Techniques Hardware and Architecture 7 works
  2. 2 Advanced Vision and Imaging Computer Vision and Pattern Recognition 5 works
  3. 3 Computer Graphics and Visualization Techniques Computer Graphics and Computer-Aided Design 5 works
  4. 4 Research studies in Vietnam Ecology 4 works
  5. 5 Advanced Neural Network Applications Computer Vision and Pattern Recognition 4 works
  6. 6 Autonomous Vehicle Technology and Safety Automotive Engineering 3 works
  7. 7 Topic Modeling Artificial Intelligence 3 works
  8. 8 Robotics and Sensor-Based Localization Aerospace Engineering 3 works
  9. 9 3D Shape Modeling and Analysis Computational Mechanics 3 works
  10. 10 Embedded Systems Design Techniques Hardware and Architecture 3 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 available48.3%not open51.7%

World: 28% of research is openly available.

with international co-authors60.4%domestic only39.6%

World: 19% is written across borders.

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

Output in 2018–2022 was 26% 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 Reading

All research institutions in Reading

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.