İbrahim Ethem Hamamcı
İbrahim Ethem Hamamcı publishes mostly in Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence, on topics such as AI in cancer detection, Multimodal Machine Learning Applications and Radiomics and Machine Learning in Medical Imaging.
- World rank
- #851,219 of 7,710,434 ranked researchers
- Rank in Türkiye
- #2,758 of 117,622
- Works
- 35
- Citations
- 340
- Citations per work
- 9.7
What does İbrahim Ethem Hamamcı research?
İbrahim Ethem Hamamcı's work is mostly in Computer Science (39%), Medicine (36%), Engineering (7%).
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
- Physical Sciences1645.1%
- Computer Science1338.5%
- Engineering26.6%
- Health Sciences1336.3%
- Medicine1336.3%
- Everything else718.6%
- 1Radiology, Nuclear Medicine and Imaging21% of their works
- 2Computer Vision and Pattern Recognition20% of their works
- 3Artificial Intelligence19% of their works
- 4Surgery9% of their works
- 5Biomedical Engineering7% of their works
- 6Health Informatics7% of their works
Research topics
Which keywords describe İbrahim Ethem Hamamcı's research?
The keywords of their largest research topics: Deep Learning, Machine Learning, Medical Imaging, Convolutional Neural Networks, Artificial Intelligence, Precision Medicine, Medical Image Analysis and Neural Networks.
- Word Representation
- Machine Translation
- Vertebrae Detection
- Healthcare
- Chest X-Ray
- Visual Question Answering
- Quantitative Analysis
- Histopathology Images
- Neural Networks
- Precision Medicine
- Convolutional Neural Networks
- Machine Learning
- Deep Learning
- Medical Imaging
- Artificial Intelligence
- Medical Image Analysis
- Computer-Aided Detection
- Image Captioning
- Radiomics
- COVID-19
- Clinical Decision Support
- Spine Segmentation
- Image Recognition
- Object 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
- Deep Learning345 topics
- Machine Learning243 topics
- Medical Imaging223 topics
- Convolutional Neural Networks203 topics
- Artificial Intelligence183 topics
- Precision Medicine152 topics
- Medical Image Analysis142 topics
- Neural Networks132 topics
- Computer-Aided Detection91 topic
- Histopathology Images91 topic
- Image Captioning91 topic
- Quantitative Analysis91 topic
- Radiomics91 topic
- Visual Question Answering91 topic
- COVID-1971 topic
- Chest X-Ray71 topic
- Clinical Decision Support61 topic
- Healthcare61 topic
- Spine Segmentation51 topic
- Vertebrae Detection51 topic
- Image Recognition41 topic
- Machine Translation41 topic
- Object Detection41 topic
- Word Representation41 topic
Where does İbrahim Ethem Hamamcı work?
İbrahim Ethem Hamamcı's main affiliation in the publication record is Istanbul Medipol University, Türkiye.
How many publications and citations does İbrahim Ethem Hamamcı have?
OpenAlex counts 35 works and 340 citations for İbrahim Ethem Hamamcı, an h-index of 8, ranking #851,219 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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