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Researcher · Iğdır Üniversitesi · Türkiye

Yiğitcan Çakmak

Yiğitcan Çakmak publishes mostly in Radiology, Nuclear Medicine and Imaging, Plant Science and Artificial Intelligence, on topics such as AI in cancer detection, Radiomics and Machine Learning in Medical Imaging and Smart Agriculture and AI.

ORCID 0009-0008-7227-9182 OpenAlex
World rank
#615,408
of 7,710,434 ranked researchers
Rank in Türkiye
#1,821
of 117,622
Works
15
Citations
135
Citations per work
9.0
h-index
8
i10-index 8Top 69% in Radiology, Nuclear Medicine and Imaging
Yiğitcan Çakmak

What does Yiğitcan Çakmak research?

Yiğitcan Çakmak's work is mostly in Medicine (27%), Computer Science (25%), Agricultural and Biological Sciences (16%).

Everything else: 4 works · 27.3% of their workHealth Sciences: 4 works · 27.3% of their workMedicine: 4 works · 27.3% of their workRadiology, Nuclear Medicine and Imaging: 3 works · 20.5% of their workPulmonary and Respiratory Medicine: 1 works · 6.8% of their workPhysical Sciences: 4 works · 25.0% of their workComputer Science: 4 works · 25.0% of their workArtificial Intelligence: 2 works · 15.9% of their workComputer Vision and Pattern Recognition: 1 works · 9.1% of their workLife Sciences: 3 works · 20.4% of their workAgricultural and Biological Sciences: 2 works · 15.9% of their workPlant Science: 2 works · 15.9% of their workNeuroscience: 1 works · 4.5% of their workNeurology: 1 works · 4.5% of their workTHEIR WORKYiğitcan Çakmak15works
Life Sciences20%Physical Sciences25%Health Sciences27%

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 else427.3%
    1. Medicine427.3%
    1. Computer Science425.0%
    1. Agricultural and Biological Sciences215.9%
    2. Neuroscience14.5%
  1. 1Radiology, Nuclear Medicine and Imaging20% of their works
  2. 2Plant Science16% of their works
  3. 3Artificial Intelligence16% of their works
  4. 4Computer Vision and Pattern Recognition9% of their works
  5. 5Pulmonary and Respiratory Medicine7% of their works
  6. 6Neurology4% of their works

Research topics

Which keywords describe Yiğitcan Çakmak's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Convolutional Neural Networks, Feature Extraction, Medical Image Analysis, Medical Imaging, Computer-Aided Detection and Histopathology Images.

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. Machine Learning185 topics
  2. Deep Learning134 topics
  3. Convolutional Neural Networks103 topics
  4. Feature Extraction93 topics
  5. Medical Image Analysis82 topics
  6. Medical Imaging72 topics
  7. Computer-Aided Detection61 topic
  8. Histopathology Images61 topic
  9. Image Processing52 topics
  10. Quantitative Analysis51 topic
  11. Radiomics51 topic
  12. Plant Disease Detection31 topic
  13. Smart Farming31 topic
  14. Brain Tumor21 topic
  15. Breast Cancer21 topic
  16. Grafting21 topic
  17. Image Recognition21 topic
  18. Leukemia Classification21 topic
  19. MRI21 topic
  20. Malaria Parasite Detection21 topic
  21. Mammography21 topic
  22. Object Detection21 topic
  23. Soilborne Pathogens21 topic

Where does Yiğitcan Çakmak work?

Yiğitcan Çakmak's main affiliation in the publication record is Iğdır Üniversitesi, Türkiye.

How many publications and citations does Yiğitcan Çakmak have?

OpenAlex counts 15 works and 135 citations for Yiğitcan Çakmak, an h-index of 8, ranking #615,408 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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