Shree K. Nayar
Shree K. Nayar publishes mostly in Computer Vision and Pattern Recognition, Media Technology and Computer Graphics and Computer-Aided Design, on topics such as Advanced Vision and Imaging, Image Processing Techniques and Applications and Computer Graphics and Visualization Techniques.
- World rank
- #5,238 of 7,710,434 ranked researchers
- Rank in United States
- #1,803 of 1,627,098
- Works
- 362
- Citations
- 39k
- Citations per work
- 108.6
What does Shree K. Nayar research?
Shree K. Nayar's work is mostly in Computer Science (51%), Engineering (19%), Physics and Astronomy (7%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences27876.8%
- Computer Science18450.8%
- Engineering7019.2%
- Physics and Astronomy256.8%
- Everything else8423.2%
- 1Computer Vision and Pattern Recognition44% of their works
- 2Media Technology12% of their works
- 3Computer Graphics and Computer-Aided Design7% of their works
- 4Atomic and Molecular Physics, and Optics7% of their works
- 5Biomedical Engineering4% of their works
- 6Aerospace Engineering3% of their works
Research topics
- Advanced Vision and Imaging
- Image Processing Techniques and Applications
- Computer Graphics and Visualization Techniques
- Image Enhancement Techniques
- Optical measurement and interference techniques
- Color Science and Applications
- Advanced Image and Video Retrieval Techniques
- Advanced Image Processing Techniques
Which keywords describe Shree K. Nayar's research?
The keywords of their largest research topics: Depth Estimation, Convolutional Networks, Neural Networks, Image Processing, Optical Flow, Stereo Vision, Deep Learning and Autofocusing.
- Image
- Feature Matching
- Color Constancy
- Camera Calibration
- Contrast Enhancement
- Computer Graphics
- Autofocusing
- Stereo Vision
- Image Processing
- Convolutional Networks
- Depth Estimation
- Neural Networks
- Optical Flow
- Deep Learning
- Microscopy
- Visualization
- Dehazing
- Structured Light
- Colorimetry
- Local Descriptors
- Super-Resolution
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 21 words, with their numbers
- Depth Estimation2372 topics
- Convolutional Networks1752 topics
- Neural Networks1683 topics
- Image Processing1612 topics
- Optical Flow1461 topic
- Stereo Vision1461 topic
- Deep Learning1443 topics
- Autofocusing911 topic
- Microscopy911 topic
- Computer Graphics751 topic
- Visualization751 topic
- Contrast Enhancement701 topic
- Dehazing701 topic
- Camera Calibration631 topic
- Structured Light631 topic
- Color Constancy481 topic
- Colorimetry481 topic
- Feature Matching451 topic
- Local Descriptors451 topic
- Image291 topic
- Super-Resolution291 topic
Where does Shree K. Nayar work?
Shree K. Nayar's main affiliation in the publication record is Columbia University, United States.
How many publications and citations does Shree K. Nayar have?
OpenAlex counts 362 works and 39,321 citations for Shree K. Nayar, an h-index of 95, ranking #5,238 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
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