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Researcher · Universitat Pompeu Fabra · Spain

Vicent Caselles

Vicent Caselles publishes mostly in Computer Vision and Pattern Recognition, Applied Mathematics and Computational Mechanics, on topics such as Medical Image Segmentation Techniques, Image and Signal Denoising Methods and Advanced Vision and Imaging.

ORCID 0000-0002-8697-3692 OpenAlex
World rank
#82,976
of 7,710,434 ranked researchers
Rank in Spain
#1,003
of 204,306
Works
192
Citations
16k
Citations per work
84.3
h-index
49
i10-index 109Top 1.2% in Computer Vision and Pattern Recognition
Vicent Caselles

What does Vicent Caselles research?

Vicent Caselles's work is mostly in Computer Science (56%), Mathematics (15%), Engineering (9%).

Physical Sciences: 154 works · 80.4% of their workComputer Science: 108 works · 56.4% of their workComputer Vision and Pattern Recognition: 87 works · 45.3% of their workComputational Theory and Mathematics: 13 works · 6.9% of their workComputer Graphics and Computer-Aided Design: 8 works · 4.2% of their workMathematics: 29 works · 14.9% of their workApplied Mathematics: 21 works · 10.7% of their workMathematical Physics: 8 works · 4.2% of their workEngineering: 17 works · 9.1% of their workComputational Mechanics: 17 works · 9.1% of their workEverything else: 38 works · 19.6% of their workTHEIR WORKVicent Caselles192works
Physical Sciences80%

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 Science10856.4%
    2. Mathematics2914.9%
    3. Engineering179.1%
  2. Everything else3819.6%
  1. 1Computer Vision and Pattern Recognition45% of their works
  2. 2Applied Mathematics11% of their works
  3. 3Computational Mechanics9% of their works
  4. 4Computational Theory and Mathematics7% of their works
  5. 5Computer Graphics and Computer-Aided Design4% of their works
  6. 6Mathematical Physics4% of their works

Research topics

Which keywords describe Vicent Caselles's research?

The keywords of their largest research topics: Deep Learning, Convolutional Networks, Image Segmentation, Medical Image Analysis, Image Denoising, Sparse Representations, Depth Estimation and Image.

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 18 words, with their numbers
  1. Deep Learning1263 topics
  2. Convolutional Networks682 topics
  3. Image Segmentation501 topic
  4. Medical Image Analysis501 topic
  5. Image Denoising421 topic
  6. Sparse Representations421 topic
  7. Depth Estimation341 topic
  8. Image341 topic
  9. Stereo Vision341 topic
  10. Super-Resolution341 topic
  11. Heterogeneous291 topic
  12. Multiscale Methods291 topic
  13. Finite Elements251 topic
  14. Fractional Laplacian251 topic
  15. NURBS251 topic
  16. Sobolev Spaces251 topic
  17. Computer Graphics231 topic
  18. Visualization231 topic

Where does Vicent Caselles work?

Vicent Caselles's main affiliation in the publication record is Universitat Pompeu Fabra, Spain.

How many publications and citations does Vicent Caselles have?

OpenAlex counts 192 works and 16,182 citations for Vicent Caselles, an h-index of 49, ranking #82,976 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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