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Researcher · Dolby (Netherlands) · Netherlands

Jaclyn Pytlarz

Jaclyn Pytlarz publishes mostly in Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Cognitive Neuroscience, on topics such as Color Science and Applications, Image Enhancement Techniques and Color perception and design.

ORCID 0000-0003-1940-0058 OpenAlex
World rank
#6,811,230
of 7,710,434 ranked researchers
Rank in Netherlands
#103,712
of 107,149
Works
40
Citations
141
Citations per work
3.5
h-index
7
i10-index 5Top 69% in Computer Vision and Pattern Recognition
Jaclyn Pytlarz

What does Jaclyn Pytlarz research?

Jaclyn Pytlarz's work is mostly in Computer Science (41%), Physics and Astronomy (17%), Neuroscience (7%).

Physical Sciences: 25 works · 61.7% of their workComputer Science: 16 works · 41.1% of their workComputer Vision and Pattern Recognition: 15 works · 37.5% of their workArtificial Intelligence: 1 works · 3.6% of their workPhysics and Astronomy: 7 works · 17.0% of their workAtomic and Molecular Physics, and Optics: 7 works · 17.0% of their workEnvironmental Science: 1 works · 3.6% of their workGlobal and Planetary Change: 1 works · 3.6% of their workEverything else: 10 works · 24.1% of their workLife Sciences: 3 works · 7.1% of their workNeuroscience: 3 works · 7.1% of their workCognitive Neuroscience: 3 works · 7.1% of their workSocial Sciences: 3 works · 7.1% of their workPsychology: 3 works · 7.1% of their workSocial Psychology: 3 works · 7.1% of their workTHEIR WORKJaclyn Pytlarz40works
Life Sciences7%Physical Sciences62%Social Sciences7%

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 Science1641.1%
    2. Physics and Astronomy717.0%
    3. Environmental Science13.6%
  2. Everything else1024.1%
    1. Neuroscience37.1%
    1. Psychology37.1%
  1. 1Computer Vision and Pattern Recognition38% of their works
  2. 2Atomic and Molecular Physics, and Optics17% of their works
  3. 3Cognitive Neuroscience7% of their works
  4. 4Social Psychology7% of their works
  5. 5Global and Planetary Change4% of their works
  6. 6Artificial Intelligence4% of their works

Research topics

Which keywords describe Jaclyn Pytlarz's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Color Constancy, Colorimetry, Contrast Enhancement, Dehazing, Color Psychology and Kansei Engineering.

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. Deep Learning263 topics
  2. Neural Networks222 topics
  3. Color Constancy191 topic
  4. Colorimetry191 topic
  5. Contrast Enhancement171 topic
  6. Dehazing171 topic
  7. Color Psychology81 topic
  8. Kansei Engineering81 topic
  9. Convolutional Networks62 topics
  10. Image Quality Assessment61 topic
  11. Neural Processing61 topic
  12. Perceptual Quality61 topic
  13. Visual Perception61 topic
  14. Economic Growth41 topic
  15. Nighttime Light Data41 topic
  16. Depth Estimation31 topic
  17. Image31 topic
  18. Stereo Vision31 topic
  19. Super-Resolution31 topic

Where does Jaclyn Pytlarz work?

Jaclyn Pytlarz's main affiliation in the publication record is Dolby (Netherlands), Netherlands.

How many publications and citations does Jaclyn Pytlarz have?

OpenAlex counts 40 works and 141 citations for Jaclyn Pytlarz, an h-index of 7, ranking #6,811,230 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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