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Researcher · University of Toronto · Canada

A.N. Venetsanopoulos

A.N. Venetsanopoulos publishes mostly in Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, on topics such as Image and Signal Denoising Methods, Image Retrieval and Classification Techniques and Neural Networks and Applications.

OpenAlex
World rank
#765,446
of 7,710,434 ranked researchers
Rank in Canada
#26,467
of 183,316
Works
515
Citations
15k
Citations per work
30.0
h-index
53
i10-index 168Top 1% in Computer Vision and Pattern Recognition
A.N. Venetsanopoulos

What does A.N. Venetsanopoulos research?

A.N. Venetsanopoulos's work is mostly in Computer Science (57%), Engineering (15%).

Physical Sciences: 372 works · 72.3% of their workComputer Science: 294 works · 57.1% of their workComputer Vision and Pattern Recognition: 207 works · 40.2% of their workSignal Processing: 49 works · 9.6% of their workArtificial Intelligence: 38 works · 7.3% of their workEngineering: 78 works · 15.2% of their workMedia Technology: 35 works · 6.7% of their workElectrical and Electronic Engineering: 28 works · 5.4% of their workComputational Mechanics: 16 works · 3.1% of their workEverything else: 143 works · 27.7% of their workTHEIR WORKA.N.Venetsanopoulos515works
Physical Sciences72%

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 Science29457.1%
    2. Engineering7815.2%
  2. Everything else14327.7%
  1. 1Computer Vision and Pattern Recognition40% of their works
  2. 2Signal Processing10% of their works
  3. 3Artificial Intelligence7% of their works
  4. 4Media Technology7% of their works
  5. 5Electrical and Electronic Engineering5% of their works
  6. 6Computational Mechanics3% of their works

Research topics

Which keywords describe A.N. Venetsanopoulos's research?

The keywords of their largest research topics: Deep Learning, Wavelet Transform, Hyperspectral Imaging, Image Denoising, Sparse Representations, Sparse Representation, Content-Based Image Retrieval and Shape Matching.

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 Learning3585 topics
  2. Wavelet Transform2132 topics
  3. Hyperspectral Imaging2102 topics
  4. Image Denoising1611 topic
  5. Sparse Representations1611 topic
  6. Sparse Representation992 topics
  7. Content-Based Image Retrieval811 topic
  8. Shape Matching811 topic
  9. Neural Networks551 topic
  10. Self-Organizing Maps551 topic
  11. Image Fusion521 topic
  12. Multispectral521 topic
  13. JPEG2000491 topic
  14. Wavelet Compression491 topic
  15. Feature Matching481 topic
  16. Local Descriptors481 topic
  17. Blind Separation471 topic
  18. Independent Component Analysis471 topic
  19. Image Segmentation451 topic
  20. Medical Image Analysis451 topic

Where does A.N. Venetsanopoulos work?

A.N. Venetsanopoulos's main affiliation in the publication record is University of Toronto, Canada.

How many publications and citations does A.N. Venetsanopoulos have?

OpenAlex counts 515 works and 15,440 citations for A.N. Venetsanopoulos, an h-index of 53, ranking #765,446 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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