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Researcher · Netflix (United States) · United States

Andrey Norkin

Andrey Norkin publishes mostly in Computer Vision and Pattern Recognition, Signal Processing and Media Technology, on topics such as Video Coding and Compression Technologies, Advanced Data Compression Techniques and Image and Video Quality Assessment.

ORCID 0000-0002-2417-1635 OpenAlex
World rank
#3,249,921
of 7,710,434 ranked researchers
Rank in United States
#921,105
of 1,627,098
Works
48
Citations
1.2k
Citations per work
24.5
h-index
9
i10-index 9Top 52% in Computer Vision and Pattern Recognition
Andrey Norkin

What does Andrey Norkin research?

Andrey Norkin's work is mostly in Computer Science (86%), Engineering (4%), Social Sciences (2%).

Physical Sciences: 43 works · 89.6% of their workComputer Science: 41 works · 85.8% of their workComputer Vision and Pattern Recognition: 28 works · 57.9% of their workSignal Processing: 11 works · 22.6% of their workComputer Graphics and Computer-Aided Design: 1 works · 3.0% of their workComputer Networks and Communications: 1 works · 2.3% of their workEngineering: 2 works · 3.8% of their workMedia Technology: 2 works · 3.8% of their workEverything else: 4 works · 8.1% of their workSocial Sciences: 1 works · 2.3% of their workSocial Sciences: 1 works · 2.3% of their workSociology and Political Science: 1 works · 2.3% of their workTHEIR WORKAndrey Norkin48works
Physical Sciences90%Social Sciences2%

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 Science4185.8%
    2. Engineering23.8%
  2. Everything else48.1%
    1. Social Sciences12.3%
  1. 1Computer Vision and Pattern Recognition58% of their works
  2. 2Signal Processing23% of their works
  3. 3Media Technology4% of their works
  4. 4Computer Graphics and Computer-Aided Design3% of their works
  5. 5Computer Networks and Communications2% of their works
  6. 6Sociology and Political Science2% of their works

Research topics

Which keywords describe Andrey Norkin's research?

The keywords of their largest research topics: Deep Learning, Video Coding, H.264/AVC, High Efficiency Video Coding (HEVC), Hyperspectral Imaging, Image Quality Assessment, JPEG2000 and Perceptual Quality.

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 20 words, with their numbers
  1. Deep Learning595 topics
  2. Video Coding492 topics
  3. H.264/AVC291 topic
  4. High Efficiency Video Coding (HEVC)291 topic
  5. Hyperspectral Imaging282 topics
  6. Image Quality Assessment201 topic
  7. JPEG2000201 topic
  8. Perceptual Quality201 topic
  9. Wavelet Compression201 topic
  10. Convolutional Networks182 topics
  11. Depth Estimation111 topic
  12. Stereo Vision111 topic
  13. Image Denoising81 topic
  14. Sparse Representations81 topic
  15. Image71 topic
  16. Super-Resolution71 topic
  17. Computer Graphics41 topic
  18. Contrast Enhancement41 topic
  19. Dehazing41 topic
  20. Visualization41 topic

Where does Andrey Norkin work?

Andrey Norkin's main affiliation in the publication record is Netflix (United States), United States.

How many publications and citations does Andrey Norkin have?

OpenAlex counts 48 works and 1,174 citations for Andrey Norkin, an h-index of 9, ranking #3,249,921 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.

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