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Researcher · Intel (United States) · United States

Vladlen Koltun

Vladlen Koltun publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design, on topics such as Advanced Vision and Imaging, Robotics and Sensor-Based Localization and Computational Geometry and Mesh Generation.

ORCID 0000-0003-0858-0970 OpenAlex
World rank
#8,039
of 7,710,434 ranked researchers
Rank in United States
#2,770
of 1,627,098
Works
316
Citations
56k
Citations per work
178.4
h-index
95
i10-index 206Top 0.1% in Computer Vision and Pattern Recognition
Vladlen Koltun

What does Vladlen Koltun research?

Vladlen Koltun's work is mostly in Computer Science (54%), Engineering (17%).

Physical Sciences: 226 works · 71.4% of their workComputer Science: 172 works · 54.5% of their workComputer Vision and Pattern Recognition: 106 works · 33.5% of their workArtificial Intelligence: 41 works · 13.0% of their workComputer Graphics and Computer-Aided Design: 25 works · 8.0% of their workEngineering: 53 works · 16.9% of their workComputational Mechanics: 21 works · 6.5% of their workAerospace Engineering: 18 works · 5.6% of their workControl and Systems Engineering: 15 works · 4.8% of their workEverything else: 90 works · 28.6% of their workTHEIR WORKVladlen Koltun316works
Physical Sciences71%

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 Science17254.5%
    2. Engineering5316.9%
  2. Everything else9028.6%
  1. 1Computer Vision and Pattern Recognition34% of their works
  2. 2Artificial Intelligence13% of their works
  3. 3Computer Graphics and Computer-Aided Design8% of their works
  4. 4Computational Mechanics6% of their works
  5. 5Aerospace Engineering6% of their works
  6. 6Control and Systems Engineering5% of their works

Research topics

Which keywords describe Vladlen Koltun's research?

The keywords of their largest research topics: Deep Learning, Unsupervised Learning, Robotics, Depth Estimation, Stereo Vision, 3D Mapping, SLAM and Delaunay Triangulations.

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. Deep Learning983 topics
  2. Unsupervised Learning792 topics
  3. Robotics762 topics
  4. Depth Estimation511 topic
  5. Stereo Vision511 topic
  6. 3D Mapping491 topic
  7. SLAM491 topic
  8. Delaunay Triangulations421 topic
  9. Mesh Generation421 topic
  10. 3D Reconstruction411 topic
  11. Point Clouds411 topic
  12. Computer Graphics301 topic
  13. Convolutional Neural Networks301 topic
  14. Image Recognition301 topic
  15. Visualization301 topic
  16. Domain Adaptation281 topic
  17. Transfer Learning281 topic
  18. Neural Networks271 topic
  19. Reinforcement Learning271 topic

Where does Vladlen Koltun work?

Vladlen Koltun's main affiliation in the publication record is Intel (United States), United States.

How many publications and citations does Vladlen Koltun have?

OpenAlex counts 316 works and 56,371 citations for Vladlen Koltun, an h-index of 95, ranking #8,039 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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