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Researcher · Iğdır Üniversitesi · Türkiye

İshak Paçal

İshak Paçal publishes mostly in Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition, on topics such as AI in cancer detection, Brain Tumor Detection and Classification and Radiomics and Machine Learning in Medical Imaging.

ORCID 0000-0001-6670-2169 OpenAlex
World rank
#16,303
of 7,710,434 ranked researchers
Rank in Türkiye
#43
of 117,622
Works
86
Citations
3.8k
Citations per work
44.7
h-index
36
i10-index 53Top 6.4% in Radiology, Nuclear Medicine and Imaging
İshak Paçal

What does İshak Paçal research?

İshak Paçal's work is mostly in Computer Science (28%), Medicine (22%), Agricultural and Biological Sciences (8%).

Everything else: 29 works · 33.4% of their workPhysical Sciences: 24 works · 28.1% of their workComputer Science: 24 works · 28.1% of their workArtificial Intelligence: 13 works · 14.6% of their workComputer Vision and Pattern Recognition: 12 works · 13.5% of their workHealth Sciences: 19 works · 21.9% of their workMedicine: 19 works · 21.9% of their workRadiology, Nuclear Medicine and Imaging: 13 works · 15.0% of their workOncology: 6 works · 6.9% of their workLife Sciences: 14 works · 16.6% of their workAgricultural and Biological Sciences: 7 works · 8.5% of their workPlant Science: 7 works · 8.5% of their workNeuroscience: 7 works · 8.1% of their workNeurology: 7 works · 8.1% of their workTHEIR WORKİshak Paçal86works
Life Sciences17%Physical Sciences28%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 else2933.4%
    1. Computer Science2428.1%
    1. Medicine1921.9%
    1. Agricultural and Biological Sciences78.5%
    2. Neuroscience78.1%
  1. 1Radiology, Nuclear Medicine and Imaging15% of their works
  2. 2Artificial Intelligence15% of their works
  3. 3Computer Vision and Pattern Recognition14% of their works
  4. 4Plant Science8% of their works
  5. 5Neurology8% of their works
  6. 6Oncology7% of their works

Research topics

Which keywords describe İshak Paçal's research?

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

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 22 words, with their numbers
  1. Deep Learning936 topics
  2. Machine Learning794 topics
  3. Convolutional Neural Networks563 topics
  4. Medical Imaging483 topics
  5. Feature Extraction382 topics
  6. Histopathology Images311 topic
  7. Medical Image Analysis311 topic
  8. Transfer Learning302 topics
  9. Brain Tumor201 topic
  10. MRI201 topic
  11. Quantitative Analysis181 topic
  12. Radiomics181 topic
  13. Image Recognition151 topic
  14. Object Detection151 topic
  15. Colorectal Cancer111 topic
  16. Screening111 topic
  17. COVID-19101 topic
  18. Chest X-Ray101 topic
  19. Plant Disease Detection101 topic
  20. Smart Farming101 topic
  21. Dermoscopy71 topic
  22. Melanoma71 topic

Where does İshak Paçal work?

İshak Paçal's main affiliation in the publication record is Iğdır Üniversitesi, Türkiye.

How many publications and citations does İshak Paçal have?

OpenAlex counts 86 works and 3,843 citations for İshak Paçal, an h-index of 36, ranking #16,303 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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