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Researcher · University of Toronto · Canada

Raquel Urtasun

Raquel Urtasun publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering, on topics such as Advanced Neural Network Applications, Autonomous Vehicle Technology and Safety and Advanced Vision and Imaging.

ORCID 0000-0003-2332-5361 OpenAlex
World rank
#3,809
of 7,710,434 ranked researchers
Rank in Canada
#55
of 183,316
Works
478
Citations
54k
Citations per work
112.0
h-index
106
i10-index 302Top 0.1% in Computer Vision and Pattern Recognition
Raquel Urtasun

What does Raquel Urtasun research?

Raquel Urtasun's work is mostly in Computer Science (56%), Engineering (14%), Biochemistry, Genetics and Molecular Biology (5%).

Physical Sciences: 337 works · 70.4% of their workComputer Science: 268 works · 56.0% of their workComputer Vision and Pattern Recognition: 200 works · 41.9% of their workArtificial Intelligence: 67 works · 14.1% of their workEngineering: 69 works · 14.4% of their workAutomotive Engineering: 30 works · 6.2% of their workAerospace Engineering: 26 works · 5.4% of their workComputational Mechanics: 13 works · 2.8% of their workEverything else: 118 works · 24.7% of their workLife Sciences: 23 works · 4.9% of their workBiochemistry, Genetics and Molecular Biology: 23 works · 4.9% of their workMolecular Biology: 23 works · 4.9% of their workTHEIR WORKRaquel Urtasun478works
Life Sciences5%Physical Sciences70%

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 Science26856.0%
    2. Engineering6914.4%
  2. Everything else11824.7%
    1. Biochemistry, Genetics and Molecular Biology234.9%
  1. 1Computer Vision and Pattern Recognition42% of their works
  2. 2Artificial Intelligence14% of their works
  3. 3Automotive Engineering6% of their works
  4. 4Aerospace Engineering5% of their works
  5. 5Molecular Biology5% of their works
  6. 6Computational Mechanics3% of their works

Research topics

Which keywords describe Raquel Urtasun's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Convolutional Networks, Image Recognition, Object Detection, Unsupervised Learning, Autonomous Vehicles and Trajectory Prediction.

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 20 words, with their numbers
  1. Deep Learning4145 topics
  2. Convolutional Neural Networks1962 topics
  3. Convolutional Networks1372 topics
  4. Image Recognition1191 topic
  5. Object Detection1191 topic
  6. Unsupervised Learning1162 topics
  7. Autonomous Vehicles841 topic
  8. Trajectory Prediction841 topic
  9. Depth Estimation801 topic
  10. Stereo Vision801 topic
  11. Feature Matching771 topic
  12. Local Descriptors771 topic
  13. Object Tracking771 topic
  14. Visual Tracking771 topic
  15. 3D Mapping671 topic
  16. SLAM671 topic
  17. Action Recognition571 topic
  18. Pose Estimation571 topic
  19. Domain Adaptation361 topic
  20. Transfer Learning361 topic

Where does Raquel Urtasun work?

Raquel Urtasun's main affiliation in the publication record is University of Toronto, Canada.

How many publications and citations does Raquel Urtasun have?

OpenAlex counts 478 works and 53,554 citations for Raquel Urtasun, an h-index of 106, ranking #3,809 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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