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Researcher · Boğaziçi University · Türkiye

Bülent Sankur

Bülent Sankur publishes mostly in Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, on topics such as Face and Expression Recognition, Face recognition and analysis and Image Retrieval and Classification Techniques.

ORCID 0000-0001-5208-1533 OpenAlex
World rank
#649,055
of 7,710,434 ranked researchers
Rank in Türkiye
#1,944
of 117,622
Works
299
Citations
7.4k
Citations per work
24.9
h-index
46
i10-index 114Top 1.5% in Computer Vision and Pattern Recognition
Bülent Sankur

What does Bülent Sankur research?

Bülent Sankur's work is mostly in Computer Science (65%), Engineering (9%).

Physical Sciences: 221 works · 73.9% of their workComputer Science: 195 works · 65.2% of their workComputer Vision and Pattern Recognition: 134 works · 44.7% of their workSignal Processing: 36 works · 12.0% of their workArtificial Intelligence: 15 works · 5.1% of their workComputer Networks and Communications: 10 works · 3.4% of their workEngineering: 26 works · 8.7% of their workComputational Mechanics: 14 works · 4.8% of their workElectrical and Electronic Engineering: 12 works · 3.9% of their workEverything else: 78 works · 26.1% of their workTHEIR WORKBülent Sankur299works
Physical Sciences74%

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 Science19565.2%
    2. Engineering268.7%
  2. Everything else7826.1%
  1. 1Computer Vision and Pattern Recognition45% of their works
  2. 2Signal Processing12% of their works
  3. 3Artificial Intelligence5% of their works
  4. 4Computational Mechanics5% of their works
  5. 5Electrical and Electronic Engineering4% of their works
  6. 6Computer Networks and Communications3% of their works

Research topics

Which keywords describe Bülent Sankur's research?

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

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 20 words, with their numbers
  1. Deep Learning1505 topics
  2. Face Recognition952 topics
  3. Local Binary Patterns922 topics
  4. Convolutional Neural Networks672 topics
  5. Dimensionality Reduction541 topic
  6. Feature Selection541 topic
  7. Age Estimation411 topic
  8. Facial Landmark Detection411 topic
  9. Content-Based Image Retrieval381 topic
  10. Shape Matching381 topic
  11. Reversible Data Embedding331 topic
  12. Steganography331 topic
  13. Digital Forensics271 topic
  14. Image Forgery Detection271 topic
  15. Biometric Recognition261 topic
  16. Image Denoising261 topic
  17. Security261 topic
  18. Sparse Representations261 topic
  19. Feature Matching231 topic
  20. Local Descriptors231 topic

Where does Bülent Sankur work?

Bülent Sankur's main affiliation in the publication record is Boğaziçi University, Türkiye.

How many publications and citations does Bülent Sankur have?

OpenAlex counts 299 works and 7,441 citations for Bülent Sankur, an h-index of 46, ranking #649,055 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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