KLA (United States)
In research, KLA (United States) stands highest in Physical Sciences (#5,150 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition — Computer Vision and Pattern Recognition is 16.6× its share of world research.
- World rank, 2022–2025
- #8,878 of 28,054 · #14,223 all time
- Rank in United States
- #1,184 of 4,192
- Research works
- 1.1k ▼ 15% vs 2013–17
- Citations
- 7.3k 6.8 per fractional work
- Top-10% rate
- 17.6% record average 16.5%
- Open access
- 13% world 28%
What is KLA (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 | #5,150 of 12,888 | 18.7% | 76 | #8158 |
Each strip is that field’s whole ranked pool, with the notch where KLA (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 KLA (United States) specialise in?
Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 16.6× the share of its output that it takes of world research.
- Computer Vision and Pattern RecognitionSubfield · 21.2 works17×
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, 4.7×. Every wedge is a field page.
- Computer Science 4.7×
- Engineering 1.8×
- Earth and Planetary Sciences 1.6×
- Decision Sciences 1.1×
- Chemical Engineering 1.0×
- Arts and Humanities 0.9×
- Materials Science 0.9×
- Environmental Science 0.8×
- Physics and Astronomy 0.8×
- Agricultural and Biological Sciences 0.7×
- Social Sciences 0.6×
- Chemistry 0.4×
- Business, Management and Accounting 0.4×
- Economics, Econometrics and Finance 0.4×
- Biochemistry, Genetics and Molecular Biology 0.4×
- Health Professions 0.2×
- Medicine 0.2×
- Immunology and Microbiology 0.2×
- Mathematics 0.2×
- Psychology 0.1×
- Neuroscience 0.1×
Who are the top researchers at KLA (United States)?
Ranked on the composite score, John C. Robinson, Richard Elliott and Shan Liu lead among researchers whose main affiliation is KLA (United States).
- 1 John C. Robinson United States · #47,913 worldwide 282 citations · 54 works
- 2 Richard Elliott United States · #100,180 worldwide 353 citations · 63 works
- 3 Shan Liu United States · #129,090 worldwide 813 citations · 159 works
- 4 S. E. Stokowski United States · #228,603 worldwide 164 citations · 24 works
- 5 Mark D. Smith United States · #350,370 worldwide 85 citations · 31 works
- 6 Chris A. Mack United States · #358,103 worldwide 241 citations · 118 works
- 7 John J. Biafore United States · #541,046 worldwide 74 citations · 31 works
- 8 W. H. Broadbent United States · #640,542 worldwide 51 citations · 40 works
- 9 Stewart A. Robertson United States · #670,657 worldwide 51 citations · 28 works
- 10 Xiaozhong Xu United States · #677,859 worldwide 70 citations · 19 works
Which keywords describe research at KLA (United States)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Video Coding, 3D Reconstruction, Point Clouds, Convolutional Networks, Hyperspectral Imaging, Mesh Segmentation and Shape Representation.
- Assembly Planning
- Fabric Defect Detection
- UAV
- Perceptual Quality
- Texture Analysis
- Image
- Medical Imaging
- Generative Adversarial Networks
- Terrestrial Laser Scanning
- Cultural Heritage
- Simulation
- Stereo Vision
- High Efficiency Video Coding (HEVC)
- Motion Estimation
- JPEG2000
- Depth Estimation
- Mesh Segmentation
- Hyperspectral Imaging
- Point Clouds
- Video Coding
- Deep Learning
- 3D Reconstruction
- Convolutional Networks
- Neural Networks
- Shape Representation
- Unsupervised Learning
- Wavelet Compression
- H.264/AVC
- Optical Flow
- Remote Sensing
- Computer Graphics
- Visualization
- Sparse Representation
- Machine Vision
- Image Processing
- Super-Resolution
- Image Quality Assessment
- Photogrammetry
- Wavelet Transform
- Semiconductor Manufacturing
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 Learning23▲ 6.5×32 topics
- Video Coding9▲ 405×2 topics
- 3D Reconstruction7▲ 74×2 topics
- Point Clouds7▲ 74×2 topics
- Convolutional Networks6▲ 46×3 topics
- Hyperspectral Imaging6▲ 21×4 topics
- Neural Networks6▲ 3.8×16 topics
- Mesh Segmentation5▲ 165×1 topic
- Shape Representation5▲ 165×1 topic
- Depth Estimation5▲ 55×2 topics
- Unsupervised Learning5▲ 32×2 topics
- JPEG20005▲ 321×1 topic
- Wavelet Compression5▲ 321×1 topic
- Motion Estimation4▲ 378×2 topics
- H.264/AVC4▲ 568×1 topic
- High Efficiency Video Coding (HEVC)4▲ 568×1 topic
- Optical Flow4▲ 81×1 topic
- Stereo Vision4▲ 81×1 topic
- Remote Sensing4▲ 3.1×7 topics
- Simulation4▲ 14×2 topics
- Computer Graphics3▲ 126×1 topic
- Cultural Heritage3▲ 6.0×4 topics
- Visualization3▲ 58×1 topic
- Terrestrial Laser Scanning3▲ 24×2 topics
- Sparse Representation3▲ 15×3 topics
- Generative Adversarial Networks3▲ 31×2 topics
- Machine Vision3▲ 11×3 topics
- Medical Imaging2▲ 4.5×4 topics
- Image Processing2▲ 4.9×5 topics
- Image2▲ 51×1 topic
- Super-Resolution2▲ 51×1 topic
- Texture Analysis2▲ 9.2×3 topics
- Image Quality Assessment2▲ 113×1 topic
- Perceptual Quality2▲ 113×1 topic
- Photogrammetry2▲ 31×1 topic
- UAV2▲ 31×1 topic
- Wavelet Transform2▲ 8.0×2 topics
- Fabric Defect Detection2▲ 21×1 topic
- Semiconductor Manufacturing2▲ 21×1 topic
- Assembly Planning2▲ 20×1 topic
Which research topics does KLA (United States) publish most on?
By volume in 2022–2025: 3D Shape Modeling and Analysis, Advanced Data Compression Techniques, Video Coding and Compression Technologies and Advanced Vision and Imaging.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 3D Shape Modeling and Analysis Computational Mechanics 5 works
- 2 Advanced Data Compression Techniques Computer Vision and Pattern Recognition 5 works
- 3 Video Coding and Compression Technologies Signal Processing 4 works
- 4 Advanced Vision and Imaging Computer Vision and Pattern Recognition 4 works
- 5 Computer Graphics and Visualization Techniques Computer Graphics and Computer-Aided Design 3 works
- 6 Advanced Image Processing Techniques Computer Vision and Pattern Recognition 2 works
- 7 Image and Video Quality Assessment Computer Vision and Pattern Recognition 2 works
- 8 3D Surveying and Cultural Heritage Geology 2 works
- 9 Industrial Vision Systems and Defect Detection Industrial and Manufacturing Engineering 2 works
- 10 Manufacturing Process and Optimization Industrial and Manufacturing Engineering 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 KLA (United States)'s research output changed?
Output in 2018–2022 was 15% 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 Milpitas
- JDSU (United States)
- Intersil (United States)
- Applied StemCell (United States)
- Blue Sky Research (United States)
- Elixir Medical (United States)
- Lumentum (United States)
- Protagonist Therapeutics (United States)
- FireEye (United States)
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.