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.
| Field | World rank | Where that sits | Top-10% rate | Works | All 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.
- Computer Vision and Pattern RecognitionSubfield · 25.0 works25×
- Computer ScienceField · 41.5 works6.7×
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.
Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 6.7×. Every wedge is a field page.
- Computer Science 6.7×
- Business, Management and Accounting 2.4×
- Neuroscience 2.0×
- Physics and Astronomy 1.4×
- Engineering 1.3×
- Decision Sciences 1.0×
- Psychology 0.7×
- Arts and Humanities 0.6×
- Chemistry 0.4×
- Economics, Econometrics and Finance 0.4×
- Environmental Science 0.2×
- Social Sciences 0.2×
- Immunology and Microbiology 0.2×
- Health Professions 0.2×
- Materials Science 0.1×
- Medicine 0.1×
- Biochemistry, Genetics and Molecular Biology 0.1×
- Mathematics 0.1×
- Earth and Planetary Sciences 0.0×
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 Scott Daly United States · #87,554 worldwide 220 citations · 45 works
- 2 Peng Yin United States · #536,449 worldwide 103 citations · 17 works
- 3 Guan‐Ming Su United States · #1,477,815 worldwide 21 citations · 22 works
- 4 Sean McCarthy United States · #1,532,708 worldwide 15 citations · 15 works
- 5 Anustup Choudhury United States · #1,601,614 worldwide 11 citations · 16 works
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.
- Cortical Connectivity
- Deep Neural Networks
- Audio-Visual Speech Recognition
- Dehazing
- Virtual Reality
- JPEG2000
- H.264/AVC
- Machine Vision
- Super-Resolution
- Image Denoising
- Medical Imaging
- Generative Adversarial Networks
- Stereo Vision
- Sparse Representation
- Hyperspectral Imaging
- Business Intelligence
- Supply Chain Management
- Depth Estimation
- Big Data
- Neural Networks
- Deep Learning
- Convolutional Networks
- Sustainability
- Unsupervised Learning
- Analytics
- Convolutional Neural Networks
- Video Coding
- Optical Flow
- Image Processing
- Wavelet Transform
- Image
- Sparse Representations
- Computer Graphics
- Visualization
- High Efficiency Video Coding (HEVC)
- Wavelet Compression
- Contrast Enhancement
- Feature Extraction
- Speech Enhancement
- Autofocusing
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
- Deep Learning27▲ 9.7×35 topics
- Neural Networks13▲ 10×18 topics
- Convolutional Networks8▲ 70×3 topics
- Big Data7▲ 9.4×6 topics
- Sustainability7▲ 3.4×4 topics
- Depth Estimation6▲ 92×2 topics
- Unsupervised Learning6▲ 52×3 topics
- Supply Chain Management6▲ 7.5×2 topics
- Analytics5▲ 71×1 topic
- Business Intelligence5▲ 71×1 topic
- Convolutional Neural Networks5▲ 9.1×6 topics
- Hyperspectral Imaging5▲ 23×2 topics
- Video Coding5▲ 291×2 topics
- Sparse Representation5▲ 30×5 topics
- Optical Flow5▲ 115×1 topic
- Stereo Vision5▲ 115×1 topic
- Image Processing4▲ 12×3 topics
- Generative Adversarial Networks4▲ 60×2 topics
- Wavelet Transform3▲ 17×2 topics
- Medical Imaging3▲ 7.0×2 topics
- Image3▲ 85×1 topic
- Image Denoising3▲ 75×1 topic
- Sparse Representations3▲ 75×1 topic
- Super-Resolution3▲ 85×1 topic
- Computer Graphics3▲ 124×1 topic
- Machine Vision3▲ 15×3 topics
- Visualization3▲ 58×1 topic
- H.264/AVC2▲ 425×1 topic
- High Efficiency Video Coding (HEVC)2▲ 425×1 topic
- JPEG20002▲ 222×1 topic
- Wavelet Compression2▲ 222×1 topic
- Virtual Reality2▲ 5.6×4 topics
- Contrast Enhancement2▲ 67×1 topic
- Dehazing2▲ 67×1 topic
- Feature Extraction2▲ 5.6×2 topics
- Audio-Visual Speech Recognition2▲ 41×1 topic
- Speech Enhancement2▲ 41×1 topic
- Deep Neural Networks2▲ 19×3 topics
- Autofocusing2▲ 58×1 topic
- 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.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Big Data and Business Intelligence Management Information Systems 5 works
- 2 Advanced Vision and Imaging Computer Vision and Pattern Recognition 5 works
- 3 Advanced Image Processing Techniques Computer Vision and Pattern Recognition 3 works
- 4 Image and Signal Denoising Methods Computer Vision and Pattern Recognition 3 works
- 5 Computer Graphics and Visualization Techniques Computer Graphics and Computer-Aided Design 3 works
- 6 Advanced Data Compression Techniques Computer Vision and Pattern Recognition 2 works
- 7 Video Coding and Compression Technologies Signal Processing 2 works
- 8 Image Enhancement Techniques Computer Vision and Pattern Recognition 2 works
- 9 Speech and Audio Processing Signal Processing 2 works
- 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.
World: 28% of research is openly available.
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.
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
- University of California, San Francisco
- San Francisco State University
- University of San Francisco
- San Francisco VA Medical Center
- University of California San Francisco Medical Center
- San Francisco General Hospital
- Institute on Aging
- California Pacific Medical Center
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.