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Researcher · University of California San Diego · United States

Ravi Ramamoorthi

Ravi Ramamoorthi publishes mostly in Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics, on topics such as Computer Graphics and Visualization Techniques, Advanced Vision and Imaging and 3D Shape Modeling and Analysis.

ORCID 0000-0003-3993-5789 OpenAlex
World rank
#8,602
of 7,710,434 ranked researchers
Rank in United States
#2,966
of 1,627,098
Works
440
Citations
36k
Citations per work
82.3
h-index
80
i10-index 254Top 0.2% in Computer Vision and Pattern Recognition
Ravi Ramamoorthi

What does Ravi Ramamoorthi research?

Ravi Ramamoorthi's work is mostly in Computer Science (63%), Engineering (12%), Mathematics (4%).

Physical Sciences: 357 works · 81.1% of their workComputer Science: 277 works · 63.0% of their workComputer Vision and Pattern Recognition: 169 works · 38.4% of their workComputer Graphics and Computer-Aided Design: 95 works · 21.6% of their workArtificial Intelligence: 13 works · 3.0% of their workEngineering: 52 works · 11.8% of their workComputational Mechanics: 52 works · 11.8% of their workMathematics: 17 works · 3.8% of their workStatistics and Probability: 17 works · 3.8% of their workPhysics and Astronomy: 11 works · 2.5% of their workAtomic and Molecular Physics, and Optics: 11 works · 2.5% of their workEverything else: 83 works · 18.9% of their workTHEIR WORKRavi Ramamoorthi440works
Physical Sciences81%

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
    1. Computer Science27763.0%
    2. Engineering5211.8%
    3. Mathematics173.8%
    4. Physics and Astronomy112.5%
  2. Everything else8318.9%
  1. 1Computer Vision and Pattern Recognition38% of their works
  2. 2Computer Graphics and Computer-Aided Design22% of their works
  3. 3Computational Mechanics12% of their works
  4. 4Statistics and Probability4% of their works
  5. 5Artificial Intelligence3% of their works
  6. 6Atomic and Molecular Physics, and Optics2% of their works

Research topics

Which keywords describe Ravi Ramamoorthi's research?

The keywords of their largest research topics: Convolutional Networks, Computer Graphics, Visualization, Deep Learning, Depth Estimation, Stereo Vision, 3D Reconstruction and Point Clouds.

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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 19 words, with their numbers
  1. Convolutional Networks2732 topics
  2. Computer Graphics2601 topic
  3. Visualization2601 topic
  4. Deep Learning2463 topics
  5. Depth Estimation2261 topic
  6. Stereo Vision2261 topic
  7. 3D Reconstruction1261 topic
  8. Point Clouds1261 topic
  9. Contrast Enhancement731 topic
  10. Dehazing731 topic
  11. Neural Networks702 topics
  12. Image471 topic
  13. Super-Resolution471 topic
  14. Camera Calibration271 topic
  15. Structured Light271 topic
  16. Clustering231 topic
  17. Color Constancy231 topic
  18. Colorimetry231 topic
  19. Mixture Models231 topic

Where does Ravi Ramamoorthi work?

Ravi Ramamoorthi's main affiliation in the publication record is University of California San Diego, United States.

How many publications and citations does Ravi Ramamoorthi have?

OpenAlex counts 440 works and 36,196 citations for Ravi Ramamoorthi, an h-index of 80, ranking #8,602 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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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