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Researcher · Pamukkale University · Türkiye

Muhammet Üsame Özıç

Muhammet Üsame Özıç publishes mostly in Computer Vision and Pattern Recognition, Oral Surgery and Radiology, Nuclear Medicine and Imaging, on topics such as Dental Radiography and Imaging, Brain Tumor Detection and Classification and Medical Image Segmentation Techniques.

ORCID 0000-0002-3037-2687 OpenAlex
World rank
#2,382,726
of 7,710,434 ranked researchers
Rank in Türkiye
#12,545
of 117,622
Works
41
Citations
329
Citations per work
8.0
h-index
11
i10-index 11Top 39% in Computer Vision and Pattern Recognition
Muhammet Üsame Özıç

What does Muhammet Üsame Özıç research?

Muhammet Üsame Özıç's work is mostly in Computer Science (22%), Dentistry (12%), Medicine (11%).

Everything else: 16 works · 39.0% of their workPhysical Sciences: 13 works · 30.5% of their workComputer Science: 9 works · 22.0% of their workComputer Vision and Pattern Recognition: 7 works · 17.8% of their workArtificial Intelligence: 2 works · 4.2% of their workEngineering: 3 works · 8.5% of their workBiomedical Engineering: 3 works · 8.5% of their workHealth Sciences: 9 works · 22.9% of their workDentistry: 5 works · 11.9% of their workOral Surgery: 5 works · 11.9% of their workMedicine: 5 works · 11.0% of their workRadiology, Nuclear Medicine and Imaging: 5 works · 11.0% of their workLife Sciences: 3 works · 7.6% of their workNeuroscience: 3 works · 7.6% of their workNeurology: 3 works · 7.6% of their workTHEIR WORKMuhammet ÜsameÖzıç41works
Life Sciences8%Physical Sciences30%Health Sciences23%

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 else1639.0%
    1. Computer Science922.0%
    2. Engineering38.5%
    1. Dentistry511.9%
    2. Medicine511.0%
    1. Neuroscience37.6%
  1. 1Computer Vision and Pattern Recognition18% of their works
  2. 2Oral Surgery12% of their works
  3. 3Radiology, Nuclear Medicine and Imaging11% of their works
  4. 4Biomedical Engineering8% of their works
  5. 5Neurology8% of their works
  6. 6Artificial Intelligence4% of their works

Research topics

Which keywords describe Muhammet Üsame Özıç's research?

The keywords of their largest research topics: Deep Learning, Artificial Intelligence, Medical Image Analysis, Image Segmentation, Machine Learning, Cone-Beam CT, Dental Imaging and Feature Extraction.

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 Learning294 topics
  2. Artificial Intelligence202 topics
  3. Medical Image Analysis203 topics
  4. Image Segmentation182 topics
  5. Machine Learning173 topics
  6. Cone-Beam CT131 topic
  7. Dental Imaging131 topic
  8. Feature Extraction132 topics
  9. Medical Imaging132 topics
  10. Texture Analysis132 topics
  11. Active Contours91 topic
  12. Brain Tumor91 topic
  13. Graph Cuts91 topic
  14. MRI91 topic
  15. Spine Segmentation71 topic
  16. Vertebrae Detection71 topic
  17. Diffusion MRI51 topic
  18. White Matter51 topic
  19. Computer-Aided Detection41 topic
  20. Histopathology Images41 topic
  21. Orthodontic Tooth Movement41 topic
  22. Orthognathic Surgery41 topic
  23. Quantitative Analysis41 topic
  24. Radiomics41 topic

Where does Muhammet Üsame Özıç work?

Muhammet Üsame Özıç's main affiliation in the publication record is Pamukkale University, Türkiye.

How many publications and citations does Muhammet Üsame Özıç have?

OpenAlex counts 41 works and 329 citations for Muhammet Üsame Özıç, an h-index of 11, ranking #2,382,726 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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