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Researcher · Imperial College London · United Kingdom

Juil Sock

Juil Sock publishes mostly in Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering, on topics such as Robotics and Sensor-Based Localization, Advanced Vision and Imaging and Robot Manipulation and Learning.

ORCID 0000-0002-5780-4777 OpenAlex
World rank
#1,165,331
of 7,710,434 ranked researchers
Rank in United Kingdom
#92,746
of 367,258
Works
25
Citations
554
Citations per work
22.2
h-index
11
i10-index 11Top 39% in Computer Vision and Pattern Recognition
Juil Sock

What does Juil Sock research?

Juil Sock's work is mostly in Computer Science (58%), Engineering (34%).

Physical Sciences: 23 works · 92.0% of their workComputer Science: 15 works · 58.2% of their workComputer Vision and Pattern Recognition: 12 works · 50.0% of their workComputer Science Applications: 1 works · 4.1% of their workSignal Processing: 1 works · 4.1% of their workEngineering: 8 works · 33.8% of their workAerospace Engineering: 5 works · 20.3% of their workControl and Systems Engineering: 3 works · 10.8% of their workAutomotive Engineering: 1 works · 2.7% of their workEverything else: 2 works · 8.0% of their workTHEIR WORKJuil Sock25works
Physical Sciences92%

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 Science1558.2%
    2. Engineering833.8%
  2. Everything else28.0%
  1. 1Computer Vision and Pattern Recognition50% of their works
  2. 2Aerospace Engineering20% of their works
  3. 3Control and Systems Engineering11% of their works
  4. 4Signal Processing4% of their works
  5. 5Computer Science Applications4% of their works
  6. 6Automotive Engineering3% of their works

Research topics

Which keywords describe Juil Sock's research?

The keywords of their largest research topics: Deep Learning, 3D Mapping, SLAM, Convolutional Networks, Computer Vision, Depth Estimation, Grasping and Robot Learning.

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 19 words, with their numbers
  1. Deep Learning174 topics
  2. 3D Mapping151 topic
  3. SLAM151 topic
  4. Convolutional Networks102 topics
  5. Computer Vision82 topics
  6. Depth Estimation71 topic
  7. Grasping71 topic
  8. Robot Learning71 topic
  9. Stereo Vision71 topic
  10. Convolutional Neural Networks41 topic
  11. Hough Transform41 topic
  12. Image Recognition41 topic
  13. Line Detection41 topic
  14. Action Recognition31 topic
  15. Crowdsourcing31 topic
  16. Feature Matching31 topic
  17. Local Descriptors31 topic
  18. Mechanical Turk31 topic
  19. Pose Estimation31 topic

Where does Juil Sock work?

Juil Sock's main affiliation in the publication record is Imperial College London, United Kingdom.

How many publications and citations does Juil Sock have?

OpenAlex counts 25 works and 554 citations for Juil Sock, an h-index of 11, ranking #1,165,331 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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