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Researcher · KU Leuven · Belgium

Wim Sweldens

Wim Sweldens publishes mostly in Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design, on topics such as Image and Signal Denoising Methods, Advanced Numerical Analysis Techniques and Computer Graphics and Visualization Techniques.

OpenAlex
World rank
#76,624
of 7,710,434 ranked researchers
Rank in Belgium
#435
of 67,186
Works
76
Citations
20k
Citations per work
264.7
h-index
41
i10-index 48Top 2.1% in Computer Vision and Pattern Recognition
Wim Sweldens

What does Wim Sweldens research?

Wim Sweldens's work is mostly in Computer Science (44%), Engineering (19%), Mathematics (8%).

Physical Sciences: 54 works · 71.3% of their workComputer Science: 34 works · 44.1% of their workComputer Vision and Pattern Recognition: 22 works · 28.6% of their workComputer Graphics and Computer-Aided Design: 7 works · 9.4% of their workComputer Networks and Communications: 5 works · 6.1% of their workEngineering: 15 works · 19.2% of their workComputational Mechanics: 9 works · 12.2% of their workElectrical and Electronic Engineering: 5 works · 7.0% of their workMathematics: 6 works · 8.0% of their workApplied Mathematics: 6 works · 8.0% of their workEverything else: 22 works · 28.7% of their workTHEIR WORKWim Sweldens76works
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 Science3444.1%
    2. Engineering1519.2%
    3. Mathematics68.0%
  2. Everything else2228.7%
  1. 1Computer Vision and Pattern Recognition29% of their works
  2. 2Computational Mechanics12% of their works
  3. 3Computer Graphics and Computer-Aided Design9% of their works
  4. 4Applied Mathematics8% of their works
  5. 5Electrical and Electronic Engineering7% of their works
  6. 6Computer Networks and Communications6% of their works

Research topics

Which keywords describe Wim Sweldens's research?

The keywords of their largest research topics: Deep Learning, Wavelet Transform, Hyperspectral Imaging, Image Denoising, Sparse Representations, Finite Elements, NURBS and Computer Graphics.

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 Learning593 topics
  2. Wavelet Transform512 topics
  3. Hyperspectral Imaging492 topics
  4. Image Denoising401 topic
  5. Sparse Representations401 topic
  6. Finite Elements161 topic
  7. NURBS161 topic
  8. Computer Graphics141 topic
  9. Visualization141 topic
  10. Frames121 topic
  11. Wavelets121 topic
  12. Image Fusion111 topic
  13. Multispectral111 topic
  14. 3D Reconstruction101 topic
  15. Point Clouds101 topic
  16. FFT91 topic
  17. Filter Banks91 topic
  18. JPEG200091 topic
  19. Wavelet Compression91 topic

Where does Wim Sweldens work?

Wim Sweldens's main affiliation in the publication record is KU Leuven, Belgium.

How many publications and citations does Wim Sweldens have?

OpenAlex counts 76 works and 20,117 citations for Wim Sweldens, an h-index of 41, ranking #76,624 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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