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Researcher · Bilkent University · Türkiye

Hamdi Dibeklioğlu

Hamdi Dibeklioğlu publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology, on topics such as Face recognition and analysis, Face and Expression Recognition and Emotion and Mood Recognition.

ORCID 0000-0003-0851-7808 OpenAlex
World rank
#747,583
of 7,710,434 ranked researchers
Rank in Türkiye
#2,300
of 117,622
Works
81
Citations
2.7k
Citations per work
33.8
h-index
24
i10-index 35Top 8.9% in Computer Vision and Pattern Recognition
Hamdi Dibeklioğlu

What does Hamdi Dibeklioğlu research?

Hamdi Dibeklioğlu's work is mostly in Computer Science (57%), Psychology (14%), Neuroscience (3%).

Physical Sciences: 46 works · 57.3% of their workComputer Science: 46 works · 57.3% of their workComputer Vision and Pattern Recognition: 34 works · 41.5% of their workArtificial Intelligence: 10 works · 12.7% of their workHuman-Computer Interaction: 3 works · 3.1% of their workEverything else: 20 works · 25.2% of their workSocial Sciences: 12 works · 14.4% of their workPsychology: 12 works · 14.4% of their workExperimental and Cognitive Psychology: 7 works · 9.2% of their workSocial Psychology: 4 works · 5.2% of their workLife Sciences: 3 works · 3.1% of their workNeuroscience: 3 works · 3.1% of their workCognitive Neuroscience: 3 works · 3.1% of their workTHEIR WORKHamdi Dibeklioğlu81works
Life Sciences3%Physical Sciences57%Social Sciences14%

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 Science4657.3%
  2. Everything else2025.2%
    1. Psychology1214.4%
    1. Neuroscience33.1%
  1. 1Computer Vision and Pattern Recognition42% of their works
  2. 2Artificial Intelligence13% of their works
  3. 3Experimental and Cognitive Psychology9% of their works
  4. 4Social Psychology5% of their works
  5. 5Human-Computer Interaction3% of their works
  6. 6Cognitive Neuroscience3% of their works

Research topics

Which keywords describe Hamdi Dibeklioğlu's research?

The keywords of their largest research topics: Deep Learning, Face Recognition, Convolutional Neural Networks, Age Estimation, Facial Landmark Detection, Local Binary Patterns, Dimensionality Reduction and Feature Selection.

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 23 words, with their numbers
  1. Deep Learning634 topics
  2. Face Recognition572 topics
  3. Convolutional Neural Networks402 topics
  4. Age Estimation341 topic
  5. Facial Landmark Detection341 topic
  6. Local Binary Patterns282 topics
  7. Dimensionality Reduction231 topic
  8. Feature Selection231 topic
  9. Neural Networks172 topics
  10. Representation Learning162 topics
  11. Unsupervised Learning162 topics
  12. Emotion Recognition121 topic
  13. Multimodal Data121 topic
  14. Generative Adversarial Networks111 topic
  15. Image Synthesis111 topic
  16. Machine Translation61 topic
  17. Object Tracking61 topic
  18. Visual Tracking61 topic
  19. Word Representation61 topic
  20. Content-Based Image Retrieval51 topic
  21. Domain Adaptation51 topic
  22. Shape Matching51 topic
  23. Transfer Learning51 topic

Where does Hamdi Dibeklioğlu work?

Hamdi Dibeklioğlu's main affiliation in the publication record is Bilkent University, Türkiye.

How many publications and citations does Hamdi Dibeklioğlu have?

OpenAlex counts 81 works and 2,736 citations for Hamdi Dibeklioğlu, an h-index of 24, ranking #747,583 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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