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Sony Corporation (United States)

In research, Sony Corporation (United States) stands highest in Physical Sciences (#8,699 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 14.4× its share of world research.

World rank, 2022–2025
#16,919
of 28,054 · #6,822 all time
Rank in United States
#2,408
of 4,192
Research works
1.1k
▲ 32% vs 2013–17
Citations
14k
12.2 per fractional work
Top-10% rate
16.8%
record average 16.5%
Open access
33%
world 28%

What is Sony Corporation (United States) 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
Physical SciencesDomain #8,699 of 12,888 18.3%88 #4142

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

Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 14.4× the share of its output that it takes of world research.

  1. Computer Vision and Pattern RecognitionSubfield · 20.7 works14×
  2. Artificial IntelligenceSubfield · 22.9 works8.3×
  3. Computer ScienceField · 57.0 works6.4×
← 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: 0.06× its world share, 0 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.62× its world share, 4 worksBiochemistry, Geneti…Immunology and Microbiology: 0.12× its world share, 0 worksImmunology and Micro…Neuroscience: 1.70× its world share, 3 worksNeuroscienceChemical Engineering: 0.12× its world share, 0 worksChemical EngineeringChemistry: 0.07× its world share, 0 worksChemistryComputer Science: 6.43× its world share, 57 worksComputer ScienceEarth and Planetary Sciences: 1.10× its world share, 2 worksEarth and Planetary …Engineering: 1.22× its world share, 21 worksEngineeringEnvironmental Science: 0.42× its world share, 2 worksEnvironmental ScienceMaterials Science: 0.48× its world share, 2 worksMaterials ScienceMathematics: 0.58× its world share, 1 worksMathematicsPhysics and Astronomy: 1.35× its world share, 3 worksPhysics and AstronomyHealth Professions: 0.42× its world share, 1 worksHealth ProfessionsMedicine: 0.28× its world share, 6 worksMedicineNursing: 0.20× its world share, 0 worksNursingArts and Humanities: 0.41× its world share, 1 worksArts and HumanitiesBusiness, Management and Accounting: 0.30× its world share, 1 worksBusiness, Management…Decision Sciences: 0.59× its world share, 1 worksDecision SciencesEconomics, Econometrics and Finance: 0.48× its world share, 1 worksEconomics, Econometr…Psychology: 0.79× its world share, 3 worksPsychologySocial Sciences: 0.25× its world share, 4 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Computer Science, 6.4×. Every wedge is a field page.

Who are the top researchers at Sony Corporation (United States)?

Ranked on the composite score, Alice Xiang, Lingjuan Lyu and Yuichi Tokita lead among researchers whose main affiliation is Sony Corporation (United States).

  1. 1 Alice Xiang United States · #209,505 worldwide 174 citations · 19 works
  2. 2 Lingjuan Lyu United States · #349,616 worldwide 280 citations · 69 works
  3. 3 Yuichi Tokita United States · #563,527 worldwide 101 citations · 21 works
  4. 4 Yuki Mitsufuji United States · #904,650 worldwide 87 citations · 59 works
All ranked researchers at Sony Corporation (United States)

Which keywords describe research at Sony Corporation (United States)?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Convolutional Neural Networks, Machine Learning, Unsupervised Learning, Representation Learning, Image Processing and Convolutional 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 Learning33▲ 8.4×46 topics
  2. Neural Networks18▲ 10.0×19 topics
  3. Machine Learning13▲ 3.6×31 topics
  4. Convolutional Neural Networks10▲ 11×11 topics
  5. Unsupervised Learning6▲ 38×3 topics
  6. Representation Learning5▲ 29×3 topics
  7. Big Data4▲ 4.3×10 topics
  8. Image Processing4▲ 8.3×5 topics
  9. Convolutional Networks4▲ 26×3 topics
  10. Artificial Intelligence4▲ 2.5×11 topics
  11. Security4▲ 5.2×6 topics
  12. Depth Estimation4▲ 38×2 topics
  13. Multi-Agent Systems4▲ 16×4 topics
  14. Image Classification3▲ 17×2 topics
  15. Computer Vision3▲ 11×2 topics
  16. Hyperspectral Imaging3▲ 10×3 topics
  17. Generative Adversarial Networks3▲ 34×2 topics
  18. Microscopy3▲ 39×2 topics
  19. Image Recognition3▲ 20×1 topic
  20. Object Detection3▲ 21×1 topic
  21. Deep Neural Networks3▲ 23×3 topics
  22. Machine Vision3▲ 11×2 topics
  23. Reinforcement Learning3▲ 23×3 topics
  24. Semi-Supervised Learning3▲ 23×3 topics
  25. Meta-Learning3▲ 29×2 topics
  26. Robotics2▲ 9.1×3 topics
  27. Wavelet Transform2▲ 9.0×2 topics
  28. Cloud Computing2▲ 7.4×4 topics
  29. Differential Privacy2▲ 27×1 topic
  30. Distributed Systems2▲ 12×3 topics
  31. Federated Learning2▲ 27×1 topic
  32. Transfer Learning2▲ 10×2 topics
  33. Adversarial Examples2▲ 38×1 topic
  34. Domain Adaptation2▲ 37×1 topic
  35. Few-Shot Learning2▲ 37×1 topic
  36. Image Denoising2▲ 41×1 topic
  37. Machine Translation2▲ 11×1 topic
  38. Robustness2▲ 38×1 topic
  39. Sparse Representation2▲ 9.7×6 topics
  40. Sparse Representations2▲ 41×1 topic

Which research topics does Sony Corporation (United States) publish most on?

By volume in 2022–2025: Advanced Neural Network Applications, Privacy-Preserving Technologies in Data, Domain Adaptation and Few-Shot Learning and Image and Signal Denoising Methods.

  1. 1 Advanced Neural Network Applications Computer Vision and Pattern Recognition 3 works
  2. 2 Privacy-Preserving Technologies in Data Artificial Intelligence 2 works
  3. 3 Domain Adaptation and Few-Shot Learning Artificial Intelligence 2 works
  4. 4 Image and Signal Denoising Methods Computer Vision and Pattern Recognition 2 works
  5. 5 Adversarial Robustness in Machine Learning Artificial Intelligence 2 works
  6. 6 Topic Modeling Artificial Intelligence 2 works
  7. 7 Generative Adversarial Networks and Image Synthesis Computer Vision and Pattern Recognition 2 works
  8. 8 Advanced Vision and Imaging Computer Vision and Pattern Recognition 2 works
  9. 9 Reinforcement Learning in Robotics Artificial Intelligence 2 works
  10. 10 Multimodal Machine Learning Applications 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 available32.7%not open67.3%

World: 28% of research is openly available.

with international co-authors33.4%domestic only66.6%

World: 19% is written across borders.

How has Sony Corporation (United States)'s research output changed?

Output in 2018–2022 was 32% 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 New York

All research institutions in New York

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.