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Researcher · Kazakh-British Technical University · Kazakhstan

Pakizar Shamoi

Pakizar Shamoi publishes mostly in Social Psychology, Computer Vision and Pattern Recognition and Artificial Intelligence, on topics such as Color perception and design, Image Retrieval and Classification Techniques and Color Science and Applications.

ORCID 0000-0001-9682-0203 OpenAlex
World rank
#1,174,575
of 7,710,434 ranked researchers
Rank in Kazakhstan
#183
of 6,463
Works
75
Citations
451
Citations per work
6.0
h-index
11
i10-index 16Top 44% in Social Psychology
Pakizar Shamoi

What does Pakizar Shamoi research?

Pakizar Shamoi's work is mostly in Psychology (26%), Computer Science (26%), Physics and Astronomy (8%).

Everything else: 27 works · 35.5% of their workPhysical Sciences: 25 works · 33.6% of their workComputer Science: 19 works · 25.5% of their workComputer Vision and Pattern Recognition: 11 works · 14.5% of their workArtificial Intelligence: 8 works · 11.0% of their workPhysics and Astronomy: 6 works · 8.1% of their workAtomic and Molecular Physics, and Optics: 6 works · 8.1% of their workSocial Sciences: 20 works · 26.2% of their workPsychology: 20 works · 26.2% of their workSocial Psychology: 14 works · 19.2% of their workExperimental and Cognitive Psychology: 5 works · 7.0% of their workLife Sciences: 4 works · 4.7% of their workNeuroscience: 4 works · 4.7% of their workCognitive Neuroscience: 4 works · 4.7% of their workTHEIR WORKPakizar Shamoi75works
Life Sciences5%Physical Sciences34%Social Sciences26%

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. Everything else2735.5%
    1. Computer Science1925.5%
    2. Physics and Astronomy68.1%
    1. Psychology2026.2%
    1. Neuroscience44.7%
  1. 1Social Psychology19% of their works
  2. 2Computer Vision and Pattern Recognition14% of their works
  3. 3Artificial Intelligence11% of their works
  4. 4Atomic and Molecular Physics, and Optics8% of their works
  5. 5Experimental and Cognitive Psychology7% of their works
  6. 6Cognitive Neuroscience5% of their works

Research topics

Which keywords describe Pakizar Shamoi's research?

The keywords of their largest research topics: Color Psychology, Kansei Engineering, Machine Learning, Neural Networks, Content-Based Image Retrieval, Shape Matching, Color Constancy and Colorimetry.

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 19 words, with their numbers
  1. Color Psychology311 topic
  2. Kansei Engineering311 topic
  3. Machine Learning202 topics
  4. Neural Networks182 topics
  5. Content-Based Image Retrieval161 topic
  6. Shape Matching161 topic
  7. Color Constancy141 topic
  8. Colorimetry141 topic
  9. Social Media92 topics
  10. Aesthetic Perception81 topic
  11. Neuroaesthetics81 topic
  12. Cognition71 topic
  13. Language71 topic
  14. Consumer Engagement51 topic
  15. Electronic Word-of-Mouth51 topic
  16. Automatic41 topic
  17. Extraction41 topic
  18. Opinion Mining41 topic
  19. Sentiment Analysis41 topic

Where does Pakizar Shamoi work?

Pakizar Shamoi's main affiliation in the publication record is Kazakh-British Technical University, Kazakhstan.

How many publications and citations does Pakizar Shamoi have?

OpenAlex counts 75 works and 451 citations for Pakizar Shamoi, an h-index of 11, ranking #1,174,575 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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