Netflix (United States)
In research, Netflix (United States) stands highest in Computer Science (#2,748 of 4,417 worldwide) and Physical Sciences (#8,884 of 10,670 worldwide), 2022-now. Relative to its size it is most specialised in Computer Vision and Pattern Recognition and Computer Science (Computer Vision and Pattern Recognition is 14.7× its share of world research).
- World rank, 2022-now
- #15,926 of 22,385 · #18,113 all time
- Rank in United States
- #2,296 of 3,332
- Research works
- 362 ▲ 13% vs 2018-21
- Citations
- 8.4k 23.1 per fractional work
- Top-10% rate
- 8.6% all institutions 10.0%
- vs its own fields
- 0.92× 1.00× is exactly expected
- Open access
- 38% world 40%
- International
- 22% world 18%
What is Netflix (United States) known for in research?
The fields where it stands highest, 2022-now, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Computer ScienceField | #2,748 of 4,417 | 9.7% | 65 | #2414 | |
| Physical SciencesDomain | #8,884 of 10,670 | 9.1% | 86 | #11592 |
Each strip is that field's whole ranked pool, with the notch where Netflix (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 average mark, because the average differs by field (from about 6% in Dentistry to 21% in Economics).
Which fields of science does Netflix (United States) work in?
In 2022-now, 73% of research at Netflix (United States) is in Physical Sciences, 24% in Social Sciences. Its largest fields are Computer Science (56%), Engineering (11%), Social Sciences (11%). It does 1.8× the world's share of Physical Sciences.
Each ring splits the one inside it: the four domains of science, their fields, their subfields. Size is fractional works in 2022-now. Every slice is a page; the interactive view zooms down to single topics and colours each by how much more of it this institution does than the world.
Its 4 domains and 19 fields, with their numbers
- Physical Sciences9573.4%
- Computer Science7356.3%
- Engineering1411.2%
- Mathematics43.1%
- Physics and Astronomy21.4%
- Chemical Engineering10.5%
- Environmental Science10.5%
- Chemistry00.3%
- Energy00.1%
- Social Sciences3123.9%
- Life Sciences32.0%
- Health Sciences10.6%
- Medicine10.4%
- Health Professions00.2%
What does Netflix (United States) specialise in?
Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 14.7× the share of its output that it takes of world research.
- Computer Vision and Pattern RecognitionSubfield · 23.8 works15×
- Computer ScienceField · 72.6 works7.2×
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, 7.2×. Every wedge is a field page.
All 19 fields, with their numbers
- Computer Science7.24×73 works
- Decision Sciences4.57×6 works
- Mathematics2.65×4 works
- Chemical Engineering1.48×1 works
- Psychology1.02×4 works
- Business, Management and Accounting0.99×4 works
- Social Sciences0.87×14 works
- Engineering0.75×14 works
- Physics and Astronomy0.64×2 works
- Arts and Humanities0.56×2 works
- Economics, Econometrics and Finance0.31×1 works
- Neuroscience0.30×1 works
- Biochemistry, Genetics and Molecular Biology0.23×2 works
- Chemistry0.16×0 works
- Environmental Science0.10×1 works
- Energy0.09×0 works
- Agricultural and Biological Sciences0.07×0 works
- Health Professions0.07×0 works
- Medicine0.02×0 works
- Computer Science 7.2×
- Decision Sciences 4.6×
- Mathematics 2.6×
- Chemical Engineering 1.5×
- Psychology 1.0×
- Business, Management and Accounting 1.0×
- Social Sciences 0.9×
- Engineering 0.8×
- Physics and Astronomy 0.6×
- Arts and Humanities 0.6×
- Economics, Econometrics and Finance 0.3×
- Neuroscience 0.3×
- Biochemistry, Genetics and Molecular Biology 0.2×
- Chemistry 0.2×
- Environmental Science 0.1×
- Energy 0.1×
- Agricultural and Biological Sciences 0.1×
- Health Professions 0.1×
- Medicine 0.0×
Who are the top researchers at Netflix (United States)?
Ranked on the quality score, Harald Steck, Anne Aaron and Lorin Hochstein lead among researchers whose main affiliation is Netflix (United States).
- 1
Harald Steck
United States · #191,833 worldwide 3.9k citations · 66 works
- 2
Anne Aaron
United States · #340,167 worldwide 1.9k citations · 18 works
- 3
Lorin Hochstein
United States · #895,854 worldwide 1.5k citations · 63 works
- 4
Simon Ejdemyr
United States · #1,265,251 worldwide 1.7k citations · 17 works
- 5
Justin Basilico
United States · #1,468,164 worldwide 917 citations · 23 works
- 6
Brendan Gregg
United States · #1,577,981 worldwide 452 citations · 23 works
- 7
Aurélien Bibaut
United States · #2,084,233 worldwide 553 citations · 47 works
- 8
Andrey Norkin
United States · #2,150,637 worldwide 1.2k citations · 48 works
- 9
Joel Solé
United States · #2,606,773 worldwide 794 citations · 59 works
- 10
Sudeep Das
United States · #2,974,375 worldwide 44 citations · 16 works
Which keywords describe research at Netflix (United States)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Convolutional Networks, Image Quality Assessment, Perceptual Quality, Machine Learning, Distributed Systems and Collaborative Filtering.
- User Interaction
- Computer Graphics
- Contextual Bandits
- Depth Estimation
- Statistical Modeling
- Requirements Engineering
- Hyperspectral Imaging
- High Efficiency Video Coding (HEVC)
- Hyperparameter Optimization
- Super-Resolution
- Image
- Information Retrieval
- Medical Imaging
- Convolutional Neural Networks
- Online Learning
- Sparse Representation
- Collaborative Filtering
- Perceptual Quality
- Convolutional Networks
- Neural Networks
- Deep Learning
- Machine Learning
- Image Quality Assessment
- Distributed Systems
- Matrix Factorization
- Big Data
- Generative Adversarial Networks
- Video Coding
- Visualization
- Convex Optimization
- Simulation
- Virtual Reality
- H.264/AVC
- Unsupervised Learning
- Machine Vision
- Social Interaction
- Bayesian Optimization
- Bandit Optimization
- Texture Analysis
- Rendering
Size is fractional works in 2022-now 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 Learning34▲ 7.7×37 topics
- Neural Networks16▲ 8.2×19 topics
- Machine Learning10▲ 2.3×26 topics
- Convolutional Networks6▲ 35×3 topics
- Image Quality Assessment6▲ 264×1 topic
- Perceptual Quality6▲ 264×1 topic
- Distributed Systems5▲ 23×5 topics
- Collaborative Filtering5▲ 105×1 topic
- Matrix Factorization5▲ 105×1 topic
- Sparse Representation5▲ 20×5 topics
- Big Data4▲ 3.7×9 topics
- Online Learning4▲ 4.2×8 topics
- Generative Adversarial Networks4▲ 38×2 topics
- Convolutional Neural Networks4▲ 4.4×7 topics
- Video Coding4▲ 146×2 topics
- Medical Imaging4▲ 5.7×3 topics
- Visualization4▲ 51×2 topics
- Information Retrieval4▲ 13×3 topics
- Convex Optimization4▲ 32×3 topics
- Image4▲ 69×1 topic
- Simulation4▲ 11×4 topics
- Super-Resolution4▲ 69×1 topic
- Virtual Reality3▲ 5.3×4 topics
- Hyperparameter Optimization3▲ 60×2 topics
- H.264/AVC3▲ 316×1 topic
- High Efficiency Video Coding (HEVC)3▲ 316×1 topic
- Unsupervised Learning3▲ 15×2 topics
- Hyperspectral Imaging3▲ 7.7×2 topics
- Machine Vision3▲ 9.8×2 topics
- Requirements Engineering3▲ 46×3 topics
- Social Interaction3▲ 5.4×5 topics
- Statistical Modeling3▲ 49×2 topics
- Bayesian Optimization3▲ 24×2 topics
- Depth Estimation3▲ 25×2 topics
- Bandit Optimization2▲ 164×1 topic
- Contextual Bandits2▲ 164×1 topic
- Texture Analysis2▲ 8.9×3 topics
- Computer Graphics2▲ 71×1 topic
- Rendering2▲ 71×1 topic
- User Interaction2▲ 62×2 topics
Which research topics does Netflix (United States) publish most on?
By volume in 2022-now: Image and Video Quality Assessment, Recommender Systems and Techniques, Advanced Image Processing Techniques and Video Coding and Compression Technologies.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Image and Video Quality Assessment Computer Vision and Pattern Recognition 6 works
- 2 Recommender Systems and Techniques Information Systems 5 works
- 3 Advanced Image Processing Techniques Computer Vision and Pattern Recognition 4 works
- 4 Video Coding and Compression Technologies Signal Processing 3 works
- 5 Advanced Bandit Algorithms Research Management Science and Operations Research 2 works
- 6 Computer Graphics and Visualization Techniques Computer Graphics and Computer-Aided Design 2 works
- 7 Software Engineering Techniques and Practices Information Systems 2 works
- 8 Industrial Vision Systems and Defect Detection Industrial and Manufacturing Engineering 2 works
- 9 Virtual Reality Applications and Impacts Human-Computer Interaction 2 works
- 10 Image Enhancement Techniques 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.
World: 40% of research is openly available.
World: 18% is written across borders.
How has Netflix (United States)'s research output changed?
Output in 2022-2025 was 13% higher than in 2018-2021.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Netflix (United States) as a percentage of every work published that year, 0.00041% in 2024.
Fractional works of Netflix (United States) over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year, against all institutions in the same year.
Of each year's output, the share that reached the world's 10% most cited for its field and year. Peak 32.8% in 2016.
Other research institutions in Los Gatos
- Sensors (United States)
- H.T. Harvey & Associates
- SA Photonics (United States)
- zyBooks
- Calera (United States)
- Tela Innovations (United States)
- Thync (United States)
- Women's Pelvic Health Institute
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
Discussion
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