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Researcher · Turgut Özal University · Türkiye

Muhammed A. Yıldırım

Muhammed A. Yıldırım publishes mostly in Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, on topics such as AI in cancer detection, COVID-19 diagnosis using AI and Brain Tumor Detection and Classification.

ORCID 0000-0003-1866-4721 OpenAlex
World rank
#651,083
of 7,710,434 ranked researchers
Rank in Türkiye
#1,952
of 117,622
Works
138
Citations
2.3k
Citations per work
16.9
h-index
24
i10-index 46Top 8.5% in Artificial Intelligence
Muhammed A. Yıldırım

What does Muhammed A. Yıldırım research?

Muhammed A. Yıldırım's work is mostly in Computer Science (21%), Medicine (15%), Engineering (4%).

Everything else: 79 works · 57.3% of their workPhysical Sciences: 34 works · 24.7% of their workComputer Science: 29 works · 20.8% of their workArtificial Intelligence: 17 works · 12.1% of their workComputer Vision and Pattern Recognition: 12 works · 8.7% of their workEngineering: 5 works · 3.9% of their workBiomedical Engineering: 5 works · 3.9% of their workHealth Sciences: 20 works · 14.8% of their workMedicine: 20 works · 14.8% of their workRadiology, Nuclear Medicine and Imaging: 15 works · 11.1% of their workPulmonary and Respiratory Medicine: 5 works · 3.7% of their workLife Sciences: 4 works · 3.2% of their workAgricultural and Biological Sciences: 4 works · 3.2% of their workPlant Science: 4 works · 3.2% of their workTHEIR WORKMuhammed A.Yıldırım138works
Life Sciences3%Physical Sciences25%Health Sciences15%

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 else7957.3%
    1. Computer Science2920.8%
    2. Engineering53.9%
    1. Medicine2014.8%
    1. Agricultural and Biological Sciences43.2%
  1. 1Artificial Intelligence12% of their works
  2. 2Radiology, Nuclear Medicine and Imaging11% of their works
  3. 3Computer Vision and Pattern Recognition9% of their works
  4. 4Biomedical Engineering4% of their works
  5. 5Pulmonary and Respiratory Medicine4% of their works
  6. 6Plant Science3% of their works

Research topics

Which keywords describe Muhammed A. Yıldırım's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Convolutional Neural Networks, Medical Imaging, Medical Image Analysis, Feature Extraction, Transfer Learning and Computer-Aided 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. 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 24 words, with their numbers
  1. Deep Learning776 topics
  2. Machine Learning635 topics
  3. Convolutional Neural Networks534 topics
  4. Medical Imaging353 topics
  5. Medical Image Analysis312 topics
  6. Feature Extraction283 topics
  7. Transfer Learning262 topics
  8. Computer-Aided Detection241 topic
  9. Histopathology Images241 topic
  10. Image Processing182 topics
  11. COVID-19141 topic
  12. Chest X-Ray141 topic
  13. Brain Tumor121 topic
  14. MRI121 topic
  15. Plant Disease Detection111 topic
  16. Smart Farming111 topic
  17. Quantitative Analysis91 topic
  18. Radiomics91 topic
  19. Image Recognition81 topic
  20. Magnetic Resonance Imaging81 topic
  21. Object Detection81 topic
  22. Perfusion Imaging81 topic
  23. Leukemia Classification71 topic
  24. Malaria Parasite Detection71 topic

Where does Muhammed A. Yıldırım work?

Muhammed A. Yıldırım's main affiliation in the publication record is Turgut Özal University, Türkiye.

How many publications and citations does Muhammed A. Yıldırım have?

OpenAlex counts 138 works and 2,339 citations for Muhammed A. Yıldırım, an h-index of 24, ranking #651,083 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.

Discussion

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