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Netflix (United States)

In research, Netflix (United States) stands highest in Computer Science (#2,258 of 4,667 worldwide) and Physical Sciences (#9,906 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 15.8× its share of world research.

netflix.comROR OpenAlex
World rank, 2022–2025
#19,037
of 28,054 · #26,567 all time
Rank in United States
#2,773
of 4,192
Research works
362
▲ 50% vs 2013–17
Citations
8.4k
23.1 per fractional work
Top-10% rate
11.6%
record average 16.5%
Open access
38%
world 28%

What is Netflix (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
Computer ScienceField #2,258 of 4,667 12.9%65 #2976
Physical SciencesDomain #9,906 of 12,888 11.6%86 #16187

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 world mark, because the world rate differs by field (from about 6% to 21% in this record).

What does Netflix (United States) specialise in?

Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 15.8× the share of its output that it takes of world research.

  1. Computer Vision and Pattern RecognitionSubfield · 23.4 works16×
  2. Computer ScienceField · 65.1 works7.1×
← 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: 0.08× its world share, 0 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.25× its world share, 2 worksBiochemistry, Geneti…Neuroscience: 0.33× its world share, 1 worksNeuroscienceChemical Engineering: 0.81× its world share, 0 worksChemical EngineeringChemistry: 0.18× its world share, 0 worksChemistryComputer Science: 7.13× its world share, 65 worksComputer ScienceEnergy: 0.10× its world share, 0 worksEnergyEngineering: 0.78× its world share, 14 worksEngineeringEnvironmental Science: 0.07× its world share, 0 worksEnvironmental ScienceMathematics: 2.56× its world share, 4 worksMathematicsPhysics and Astronomy: 0.70× its world share, 2 worksPhysics and AstronomyHealth Professions: 0.08× its world share, 0 worksHealth ProfessionsMedicine: 0.02× its world share, 0 worksMedicineArts and Humanities: 0.59× its world share, 2 worksArts and HumanitiesBusiness, Management and Accounting: 1.03× its world share, 4 worksBusiness, Management…Decision Sciences: 4.43× its world share, 5 worksDecision SciencesEconomics, Econometrics and Finance: 0.34× its world share, 1 worksEconomics, Econometr…Psychology: 1.08× its world share, 4 worksPsychologySocial Sciences: 0.87× its world share, 13 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 7.1×. Every wedge is a field page.

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

Ranked on the composite score, Harald Steck, Dawen Liang and Christos G. Bampis lead among researchers whose main affiliation is Netflix (United States).

  1. 1 Harald Steck United States · #139,335 worldwide 270 citations · 25 works
  2. 2 Dawen Liang United States · #171,821 worldwide 446 citations · 18 works
  3. 3 Christos G. Bampis United States · #624,848 worldwide 77 citations · 18 works
  4. 4 Zhi Li United States · #1,629,666 worldwide 10 citations · 16 works
All ranked researchers at Netflix (United States)

Which keywords describe research at Netflix (United States)?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Convolutional Networks, Image Quality Assessment, Perceptual Quality, Sparse Representation, Machine Learning and Collaborative Filtering.

▲ 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▲ 8.2×37 topics
  2. Neural Networks15▲ 8.4×18 topics
  3. Machine Learning9▲ 2.3×24 topics
  4. Convolutional Networks6▲ 37×3 topics
  5. Image Quality Assessment5▲ 265×1 topic
  6. Perceptual Quality5▲ 265×1 topic
  7. Sparse Representation5▲ 21×5 topics
  8. Online Learning4▲ 4.6×8 topics
  9. Collaborative Filtering4▲ 104×1 topic
  10. Generative Adversarial Networks4▲ 45×2 topics
  11. Matrix Factorization4▲ 104×1 topic
  12. Convolutional Neural Networks4▲ 4.8×7 topics
  13. Distributed Systems4▲ 19×4 topics
  14. Medical Imaging4▲ 6.4×3 topics
  15. Visualization4▲ 56×2 topics
  16. Big Data4▲ 3.3×7 topics
  17. Convex Optimization4▲ 37×3 topics
  18. Image4▲ 74×1 topic
  19. Super-Resolution4▲ 74×1 topic
  20. Virtual Reality3▲ 5.7×4 topics
  21. Hyperparameter Optimization3▲ 69×2 topics
  22. Video Coding3▲ 126×2 topics
  23. Information Retrieval3▲ 12×3 topics
  24. Simulation3▲ 9.5×3 topics
  25. Unsupervised Learning3▲ 17×2 topics
  26. Hyperspectral Imaging3▲ 8.0×2 topics
  27. Machine Vision3▲ 10×2 topics
  28. Requirements Engineering3▲ 53×3 topics
  29. Social Interaction3▲ 5.7×4 topics
  30. Statistical Modeling3▲ 56×2 topics
  31. Bayesian Optimization3▲ 27×2 topics
  32. Depth Estimation3▲ 26×2 topics
  33. Bandit Optimization2▲ 195×1 topic
  34. Contextual Bandits2▲ 195×1 topic
  35. Texture Analysis2▲ 9.3×3 topics
  36. Computer Graphics2▲ 77×1 topic
  37. Rendering2▲ 77×1 topic
  38. Agile Software Development2▲ 78×1 topic
  39. Empirical Studies2▲ 78×1 topic
  40. Wavelet Transform2▲ 8.2×2 topics

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

By volume in 2022–2025: Image and Video Quality Assessment, Recommender Systems and Techniques, Advanced Image Processing Techniques and Advanced Bandit Algorithms Research.

Image and Video Quality Assessment: 5 fractional worksRecommender Systems and Techniques: 4 fractional worksAdvanced Image Processin…4Advanced Image Processing Techniques: 4 fractional worksAdvanced Bandit Algorith…2Advanced Bandit Algorithms Research: 2 fractional worksComputer Graphics and Visualization Techniques: 2 fractional worksSoftware Engineering Techniques and Practices: 2 fractional worksIndustrial Vision System…2Industrial Vision Systems and Defect Detection: 2 fractional worksVideo Coding and Compression Technologies: 2 fractional worksVirtual Reality Applications and Impacts: 2 fractional worksImage Enhancement Techni…2Image Enhancement Techniques: 2 fractional works
Computer Vision and Pattern RecognitionInformation SystemsManagement Science and Operations ResearchComputer Graphics and Computer-Aided Design3 others

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

  1. 1 Image and Video Quality Assessment Computer Vision and Pattern Recognition 5 works
  2. 2 Recommender Systems and Techniques Information Systems 4 works
  3. 3 Advanced Image Processing Techniques Computer Vision and Pattern Recognition 4 works
  4. 4 Advanced Bandit Algorithms Research Management Science and Operations Research 2 works
  5. 5 Computer Graphics and Visualization Techniques Computer Graphics and Computer-Aided Design 2 works
  6. 6 Software Engineering Techniques and Practices Information Systems 2 works
  7. 7 Industrial Vision Systems and Defect Detection Industrial and Manufacturing Engineering 2 works
  8. 8 Video Coding and Compression Technologies Signal Processing 2 works
  9. 9 Virtual Reality Applications and Impacts Human-Computer Interaction 2 works
  10. 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.

openly available38.2%not open61.8%

World: 28% of research is openly available.

with international co-authors21.6%domestic only78.4%

World: 19% is written across borders.

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

Output in 2018–2022 was 50% higher than in 2013–2017.

20002005201020152020
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 Los Gatos

All research institutions in Los Gatos

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.