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Researcher · École Polytechnique Fédérale de Lausanne · Switzerland

Martin Vetterli

Martin Vetterli publishes mostly in Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications, on topics such as Image and Signal Denoising Methods, Advanced Data Compression Techniques and Digital Filter Design and Implementation.

ORCID 0000-0002-6122-1216 OpenAlex
World rank
#121,801
of 7,710,434 ranked researchers
Rank in Switzerland
#2,535
of 80,918
Works
808
Citations
53k
Citations per work
66.1
h-index
97
i10-index 380Top 0.1% in Computer Vision and Pattern Recognition
Martin Vetterli

What does Martin Vetterli research?

Martin Vetterli's work is mostly in Computer Science (49%), Engineering (20%).

Physical Sciences: 562 works · 69.5% of their workComputer Science: 399 works · 49.4% of their workComputer Vision and Pattern Recognition: 212 works · 26.2% of their workSignal Processing: 109 works · 13.5% of their workComputer Networks and Communications: 78 works · 9.7% of their workEngineering: 162 works · 20.1% of their workElectrical and Electronic Engineering: 70 works · 8.7% of their workComputational Mechanics: 57 works · 7.0% of their workMedia Technology: 36 works · 4.4% of their workEverything else: 246 works · 30.5% of their workTHEIR WORKMartin Vetterli808works
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 Science39949.4%
    2. Engineering16220.1%
  2. Everything else24630.5%
  1. 1Computer Vision and Pattern Recognition26% of their works
  2. 2Signal Processing14% of their works
  3. 3Computer Networks and Communications10% of their works
  4. 4Electrical and Electronic Engineering9% of their works
  5. 5Computational Mechanics7% of their works
  6. 6Media Technology4% of their works

Research topics

Which keywords describe Martin Vetterli's research?

The keywords of their largest research topics: Deep Learning, Hyperspectral Imaging, Wavelet Transform, Image Denoising, Sparse Representations, Video Coding, Sparse Representation and JPEG2000.

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 21 words, with their numbers
  1. Deep Learning4643 topics
  2. Hyperspectral Imaging3872 topics
  3. Wavelet Transform2912 topics
  4. Image Denoising2421 topic
  5. Sparse Representations2421 topic
  6. Video Coding1962 topics
  7. Sparse Representation1582 topics
  8. JPEG20001451 topic
  9. Wavelet Compression1451 topic
  10. FFT1241 topic
  11. Filter Banks1241 topic
  12. Compressed Sensing1091 topic
  13. Signal Recovery1091 topic
  14. Frames881 topic
  15. Wavelets881 topic
  16. Audio-Visual Speech Recognition771 topic
  17. Speech Enhancement771 topic
  18. H.264/AVC511 topic
  19. High Efficiency Video Coding (HEVC)511 topic
  20. Image Fusion491 topic
  21. Multispectral491 topic

Where does Martin Vetterli work?

Martin Vetterli's main affiliation in the publication record is École Polytechnique Fédérale de Lausanne, Switzerland.

How many publications and citations does Martin Vetterli have?

OpenAlex counts 808 works and 53,413 citations for Martin Vetterli, an h-index of 97, ranking #121,801 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.

Discussion

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