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Researcher · Aselsan (Turkey) · Türkiye

İbrahim Batuhan Akkaya

İbrahim Batuhan Akkaya publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, on topics such as Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications and Video Surveillance and Tracking Methods.

ORCID 0000-0003-2663-846X OpenAlex
World rank
#3,457,886
of 7,710,434 ranked researchers
Rank in Türkiye
#23,520
of 117,622
Works
18
Citations
188
Citations per work
10.4
h-index
4
i10-index 3Top 94% in Computer Vision and Pattern Recognition
İbrahim Batuhan Akkaya

What does İbrahim Batuhan Akkaya research?

İbrahim Batuhan Akkaya's work is mostly in Computer Science (74%), Engineering (11%), Medicine (7%).

Physical Sciences: 15 works · 85.2% of their workComputer Science: 13 works · 74.1% of their workComputer Vision and Pattern Recognition: 8 works · 46.3% of their workArtificial Intelligence: 4 works · 22.2% of their workSignal Processing: 1 works · 3.7% of their workInformation Systems: 0 works · 1.9% of their workEngineering: 2 works · 11.1% of their workElectrical and Electronic Engineering: 2 works · 11.1% of their workHealth Sciences: 1 works · 7.4% of their workMedicine: 1 works · 7.4% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 7.4% of their workEverything else: 1 works · 7.4% of their workTHEIR WORKİbrahim BatuhanAkkaya18works
Physical Sciences85%Health 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 Science1374.1%
    2. Engineering211.1%
    1. Medicine17.4%
  3. Everything else17.4%
  1. 1Computer Vision and Pattern Recognition46% of their works
  2. 2Artificial Intelligence22% of their works
  3. 3Electrical and Electronic Engineering11% of their works
  4. 4Radiology, Nuclear Medicine and Imaging7% of their works
  5. 5Signal Processing4% of their works
  6. 6Information Systems2% of their works

Research topics

Which keywords describe İbrahim Batuhan Akkaya's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Transfer Learning, Face Recognition, Neural Networks, COVID-19, Dimensionality Reduction and Domain Adaptation.

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 21 words, with their numbers
  1. Deep Learning185 topics
  2. Convolutional Neural Networks154 topics
  3. Transfer Learning82 topics
  4. Face Recognition72 topics
  5. Neural Networks62 topics
  6. COVID-1941 topic
  7. Dimensionality Reduction41 topic
  8. Domain Adaptation41 topic
  9. Feature Selection41 topic
  10. Few-Shot Learning41 topic
  11. Image Recognition41 topic
  12. Medical Imaging41 topic
  13. Object Detection41 topic
  14. Object Tracking41 topic
  15. Visual Tracking41 topic
  16. Adversarial Examples31 topic
  17. Age Estimation31 topic
  18. Facial Landmark Detection31 topic
  19. Memristor31 topic
  20. Neuromorphic Computing31 topic
  21. Robustness31 topic

Where does İbrahim Batuhan Akkaya work?

İbrahim Batuhan Akkaya's main affiliation in the publication record is Aselsan (Turkey), Türkiye.

How many publications and citations does İbrahim Batuhan Akkaya have?

OpenAlex counts 18 works and 188 citations for İbrahim Batuhan Akkaya, an h-index of 4, ranking #3,457,886 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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