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Researcher · Başkent University · Türkiye

Çağatay Berke Erdaş

Çağatay Berke Erdaş publishes mostly in Computer Vision and Pattern Recognition, Neurology and Radiology, Nuclear Medicine and Imaging, on topics such as Context-Aware Activity Recognition Systems, Parkinson's Disease Mechanisms and Treatments and Retinal Imaging and Analysis.

ORCID 0000-0003-3467-9923 OpenAlex
World rank
#1,735,720
of 7,710,434 ranked researchers
Rank in Türkiye
#7,796
of 117,622
Works
52
Citations
598
Citations per work
11.5
h-index
14
i10-index 17Top 27% in Computer Vision and Pattern Recognition
Çağatay Berke Erdaş

What does Çağatay Berke Erdaş research?

Çağatay Berke Erdaş's work is mostly in Medicine (22%), Computer Science (21%), Engineering (12%).

Everything else: 23 works · 44.2% of their workPhysical Sciences: 18 works · 33.8% of their workComputer Science: 11 works · 21.4% of their workComputer Vision and Pattern Recognition: 6 works · 12.4% of their workArtificial Intelligence: 5 works · 9.0% of their workEngineering: 6 works · 12.4% of their workBiomedical Engineering: 5 works · 9.0% of their workCivil and Structural Engineering: 2 works · 3.4% of their workHealth Sciences: 11 works · 22.0% of their workMedicine: 11 works · 22.0% of their workNeurology: 6 works · 11.0% of their workRadiology, Nuclear Medicine and Imaging: 6 works · 11.0% of their workTHEIR WORKÇağatay BerkeErdaş52works
Physical Sciences34%Health Sciences22%

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. Everything else2344.2%
    1. Computer Science1121.4%
    2. Engineering612.4%
    1. Medicine1122.0%
  1. 1Computer Vision and Pattern Recognition12% of their works
  2. 2Neurology11% of their works
  3. 3Radiology, Nuclear Medicine and Imaging11% of their works
  4. 4Biomedical Engineering9% of their works
  5. 5Artificial Intelligence9% of their works
  6. 6Civil and Structural Engineering3% of their works

Research topics

Which keywords describe Çağatay Berke Erdaş's research?

The keywords of their largest research topics: Deep Learning, Parkinson's Disease, Convolutional Neural Networks, Medical Image Analysis, a-Synuclein, Activity Recognition, Neurodegeneration and Pervasive Computing.

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 20 words, with their numbers
  1. Deep Learning325 topics
  2. Parkinson's Disease132 topics
  3. Convolutional Neural Networks102 topics
  4. Medical Image Analysis102 topics
  5. Activity Recognition81 topic
  6. Neurodegeneration81 topic
  7. Pervasive Computing81 topic
  8. a-Synuclein81 topic
  9. Diabetic Retinopathy71 topic
  10. Retinal Disease71 topic
  11. Computer-Aided Detection61 topic
  12. Gait Recognition61 topic
  13. Histopathology Images61 topic
  14. Human Identification61 topic
  15. Anomaly Detection51 topic
  16. Deep Brain Stimulation51 topic
  17. Subthalamic Nucleus51 topic
  18. Unsupervised51 topic
  19. Leukemia Classification41 topic
  20. Malaria Parasite Detection41 topic

Where does Çağatay Berke Erdaş work?

Çağatay Berke Erdaş's main affiliation in the publication record is Başkent University, Türkiye.

How many publications and citations does Çağatay Berke Erdaş have?

OpenAlex counts 52 works and 598 citations for Çağatay Berke Erdaş, an h-index of 14, ranking #1,735,720 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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