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Researcher · Moscow Technical University of Communication and Informatics · Russia

Igor V. Vlasuyk

Igor V. Vlasuyk publishes mostly in Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Media Technology, on topics such as Image and Video Quality Assessment, Color Science and Applications and Advanced Image Fusion Techniques.

ORCID 0000-0002-4795-1845 OpenAlex
World rank
#6,139,920
of 7,710,434 ranked researchers
Rank in Russia
#66,319
of 179,717
Works
29
Citations
144
Citations per work
5.0
h-index
6
i10-index 4Top 78% in Computer Vision and Pattern Recognition
Igor V. Vlasuyk

What does Igor V. Vlasuyk research?

Igor V. Vlasuyk's work is mostly in Computer Science (51%), Physics and Astronomy (14%), Engineering (9%).

Physical Sciences: 22 works · 74.3% of their workComputer Science: 15 works · 51.2% of their workComputer Vision and Pattern Recognition: 14 works · 47.4% of their workInformation Systems: 1 works · 3.8% of their workPhysics and Astronomy: 4 works · 14.1% of their workAtomic and Molecular Physics, and Optics: 4 works · 14.1% of their workEngineering: 3 works · 9.0% of their workMedia Technology: 3 works · 9.0% of their workEverything else: 6 works · 20.5% of their workLife Sciences: 2 works · 5.2% of their workAgricultural and Biological Sciences: 1 works · 2.6% of their workFood Science: 1 works · 2.6% of their workNeuroscience: 1 works · 2.6% of their workCognitive Neuroscience: 1 works · 2.6% of their workTHEIR WORKIgor V. Vlasuyk29works
Life Sciences5%Physical Sciences74%

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 Science1551.2%
    2. Physics and Astronomy414.1%
    3. Engineering39.0%
  2. Everything else620.5%
    1. Agricultural and Biological Sciences12.6%
    2. Neuroscience12.6%
  1. 1Computer Vision and Pattern Recognition47% of their works
  2. 2Atomic and Molecular Physics, and Optics14% of their works
  3. 3Media Technology9% of their works
  4. 4Information Systems4% of their works
  5. 5Cognitive Neuroscience3% of their works
  6. 6Food Science3% of their works

Research topics

Which keywords describe Igor V. Vlasuyk's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Color Constancy, Colorimetry, Image Quality Assessment, Perceptual Quality, Sparse Representation and Convolutional Networks.

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 Learning245 topics
  2. Neural Networks142 topics
  3. Color Constancy101 topic
  4. Colorimetry101 topic
  5. Image Quality Assessment101 topic
  6. Perceptual Quality101 topic
  7. Sparse Representation92 topics
  8. Convolutional Networks72 topics
  9. Image Fusion51 topic
  10. Multispectral51 topic
  11. Image41 topic
  12. JPEG200041 topic
  13. Super-Resolution41 topic
  14. Wavelet Compression41 topic
  15. Contrast Enhancement31 topic
  16. Dehazing31 topic
  17. Depth Estimation31 topic
  18. Digital Forensics31 topic
  19. Image Forgery Detection31 topic
  20. Stereo Vision31 topic

Where does Igor V. Vlasuyk work?

Igor V. Vlasuyk's main affiliation in the publication record is Moscow Technical University of Communication and Informatics, Russia.

How many publications and citations does Igor V. Vlasuyk have?

OpenAlex counts 29 works and 144 citations for Igor V. Vlasuyk, an h-index of 6, ranking #6,139,920 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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