Science Explorer Interactive view Map

Dolby (United States)

In research, Dolby (United States) stands highest in Physical Sciences (#11,496 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition and Computer Science — Computer Vision and Pattern Recognition is 24.8× its share of world research.

World rank, 2022–2025
#23,379
of 28,054 · #33,131 all time
Rank in United States
#3,504
of 4,192
Research works
296
▼ 4% vs 2013–17
Citations
1.9k
6.3 per fractional work
Top-10% rate
7.1%
record average 16.5%
Open access
18%
world 28%

What is Dolby (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 #11,496 of 12,888 7.3%61 #18042

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

Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 24.8× the share of its output that it takes of world research.

  1. Computer Vision and Pattern RecognitionSubfield · 25.0 works25×
  2. Computer ScienceField · 41.5 works6.7×
← 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.

Biochemistry, Genetics and Molecular Biology: 0.09× its world share, 0 worksBiochemistry, Geneti…Immunology and Microbiology: 0.21× its world share, 0 worksImmunology and Micro…Neuroscience: 2.02× its world share, 3 worksNeuroscienceChemistry: 0.40× its world share, 0 worksChemistryComputer Science: 6.67× its world share, 42 worksComputer ScienceEarth and Planetary Sciences: 0.04× its world share, 0 worksEarth and Planetary …Engineering: 1.28× its world share, 15 worksEngineeringEnvironmental Science: 0.25× its world share, 1 worksEnvironmental ScienceMaterials Science: 0.14× its world share, 0 worksMaterials ScienceMathematics: 0.07× its world share, 0 worksMathematicsPhysics and Astronomy: 1.44× its world share, 3 worksPhysics and AstronomyHealth Professions: 0.20× its world share, 0 worksHealth ProfessionsMedicine: 0.13× its world share, 2 worksMedicineArts and Humanities: 0.58× its world share, 1 worksArts and HumanitiesBusiness, Management and Accounting: 2.42× its world share, 6 worksBusiness, Management…Decision Sciences: 0.98× its world share, 1 worksDecision SciencesEconomics, Econometrics and Finance: 0.39× its world share, 1 worksEconomics, Econometr…Psychology: 0.73× its world share, 2 worksPsychologySocial Sciences: 0.22× its world share, 2 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Computer Science, 6.7×. Every wedge is a field page.

Who are the top researchers at Dolby (United States)?

Ranked on the composite score, Scott Daly, Peng Yin and Guan‐Ming Su lead among researchers whose main affiliation is Dolby (United States).

  1. 1 Scott Daly United States · #87,554 worldwide 220 citations · 45 works
  2. 2 Peng Yin United States · #536,449 worldwide 103 citations · 17 works
  3. 3 Guan‐Ming Su United States · #1,477,815 worldwide 21 citations · 22 works
  4. 4 Sean McCarthy United States · #1,532,708 worldwide 15 citations · 15 works
  5. 5 Anustup Choudhury United States · #1,601,614 worldwide 11 citations · 16 works
All ranked researchers at Dolby (United States)

Which keywords describe research at Dolby (United States)?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Convolutional Networks, Big Data, Depth Estimation, Unsupervised Learning, Supply Chain Management 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 Learning27▲ 9.7×35 topics
  2. Neural Networks13▲ 10×18 topics
  3. Convolutional Networks8▲ 70×3 topics
  4. Big Data7▲ 9.4×6 topics
  5. Sustainability7▲ 3.4×4 topics
  6. Depth Estimation6▲ 92×2 topics
  7. Unsupervised Learning6▲ 52×3 topics
  8. Supply Chain Management6▲ 7.5×2 topics
  9. Analytics5▲ 71×1 topic
  10. Business Intelligence5▲ 71×1 topic
  11. Convolutional Neural Networks5▲ 9.1×6 topics
  12. Hyperspectral Imaging5▲ 23×2 topics
  13. Video Coding5▲ 291×2 topics
  14. Sparse Representation5▲ 30×5 topics
  15. Optical Flow5▲ 115×1 topic
  16. Stereo Vision5▲ 115×1 topic
  17. Image Processing4▲ 12×3 topics
  18. Generative Adversarial Networks4▲ 60×2 topics
  19. Wavelet Transform3▲ 17×2 topics
  20. Medical Imaging3▲ 7.0×2 topics
  21. Image3▲ 85×1 topic
  22. Image Denoising3▲ 75×1 topic
  23. Sparse Representations3▲ 75×1 topic
  24. Super-Resolution3▲ 85×1 topic
  25. Computer Graphics3▲ 124×1 topic
  26. Machine Vision3▲ 15×3 topics
  27. Visualization3▲ 58×1 topic
  28. H.264/AVC2▲ 425×1 topic
  29. High Efficiency Video Coding (HEVC)2▲ 425×1 topic
  30. JPEG20002▲ 222×1 topic
  31. Wavelet Compression2▲ 222×1 topic
  32. Virtual Reality2▲ 5.6×4 topics
  33. Contrast Enhancement2▲ 67×1 topic
  34. Dehazing2▲ 67×1 topic
  35. Feature Extraction2▲ 5.6×2 topics
  36. Audio-Visual Speech Recognition2▲ 41×1 topic
  37. Speech Enhancement2▲ 41×1 topic
  38. Deep Neural Networks2▲ 19×3 topics
  39. Autofocusing2▲ 58×1 topic
  40. Cortical Connectivity2▲ 48×2 topics

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

By volume in 2022–2025: Big Data and Business Intelligence, Advanced Vision and Imaging, Advanced Image Processing Techniques and Image and Signal Denoising Methods.

  1. 1 Big Data and Business Intelligence Management Information Systems 5 works
  2. 2 Advanced Vision and Imaging Computer Vision and Pattern Recognition 5 works
  3. 3 Advanced Image Processing Techniques Computer Vision and Pattern Recognition 3 works
  4. 4 Image and Signal Denoising Methods Computer Vision and Pattern Recognition 3 works
  5. 5 Computer Graphics and Visualization Techniques Computer Graphics and Computer-Aided Design 3 works
  6. 6 Advanced Data Compression Techniques Computer Vision and Pattern Recognition 2 works
  7. 7 Video Coding and Compression Technologies Signal Processing 2 works
  8. 8 Image Enhancement Techniques Computer Vision and Pattern Recognition 2 works
  9. 9 Speech and Audio Processing Signal Processing 2 works
  10. 10 Image Processing Techniques and Applications Media Technology 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 available17.7%not open82.3%

World: 28% of research is openly available.

with international co-authors21.2%domestic only78.8%

World: 19% is written across borders.

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

Output in 2018–2022 was 4% lower 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 San Francisco

All research institutions in San Francisco

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.