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Researcher · Aselsan (Turkey) · Türkiye

Toygar Akgün

Toygar Akgün publishes mostly in Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Signal Processing, on topics such as Advanced Vision and Imaging, Image and Signal Denoising Methods and Advanced Image Processing Techniques.

ORCID 0000-0001-9674-938X OpenAlex
World rank
#5,838,717
of 7,710,434 ranked researchers
Rank in Türkiye
#64,468
of 117,622
Works
42
Citations
465
Citations per work
11.1
h-index
8
i10-index 5Top 60% in Computer Vision and Pattern Recognition
Toygar Akgün

What does Toygar Akgün research?

Toygar Akgün's work is mostly in Computer Science (44%), Engineering (26%).

Physical Sciences: 29 works · 69.2% of their workComputer Science: 18 works · 43.6% of their workComputer Vision and Pattern Recognition: 13 works · 30.8% of their workSignal Processing: 3 works · 7.7% of their workArtificial Intelligence: 2 works · 5.1% of their workEngineering: 11 works · 25.6% of their workElectrical and Electronic Engineering: 7 works · 16.2% of their workMedia Technology: 2 works · 5.1% of their workComputational Mechanics: 2 works · 4.3% of their workEverything else: 13 works · 30.8% of their workTHEIR WORKToygar Akgün42works
Physical Sciences69%

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 Science1843.6%
    2. Engineering1125.6%
  2. Everything else1330.8%
  1. 1Computer Vision and Pattern Recognition31% of their works
  2. 2Electrical and Electronic Engineering16% of their works
  3. 3Signal Processing8% of their works
  4. 4Artificial Intelligence5% of their works
  5. 5Media Technology5% of their works
  6. 6Computational Mechanics4% of their works

Research topics

Which keywords describe Toygar Akgün's research?

The keywords of their largest research topics: Deep Learning, Convolutional Networks, Neural Networks, Sparse Representation, Wavelet Transform, Convolutional Neural Networks, Depth Estimation and Image.

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 22 words, with their numbers
  1. Deep Learning285 topics
  2. Convolutional Networks162 topics
  3. Neural Networks132 topics
  4. Sparse Representation132 topics
  5. Wavelet Transform132 topics
  6. Convolutional Neural Networks112 topics
  7. Depth Estimation81 topic
  8. Image81 topic
  9. Image Denoising81 topic
  10. Sparse Representations81 topic
  11. Stereo Vision81 topic
  12. Super-Resolution81 topic
  13. Fiber Optic Sensors61 topic
  14. Optical Fiber61 topic
  15. Audio-Visual Speech Recognition51 topic
  16. Image Fusion51 topic
  17. Multispectral51 topic
  18. Speech Enhancement51 topic
  19. Contrast Enhancement41 topic
  20. Dehazing41 topic
  21. Object Tracking31 topic
  22. Visual Tracking31 topic

Where does Toygar Akgün work?

Toygar Akgün's main affiliation in the publication record is Aselsan (Turkey), Türkiye.

How many publications and citations does Toygar Akgün have?

OpenAlex counts 42 works and 465 citations for Toygar Akgün, an h-index of 8, ranking #5,838,717 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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