Sezgin Er
Sezgin Er publishes mostly in Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, on topics such as AI in cancer detection, Radiomics and Machine Learning in Medical Imaging and Multimodal Machine Learning Applications.
- World rank
- #1,010,563 of 7,710,434 ranked researchers
- Rank in Türkiye
- #3,518 of 117,622
- Works
- 33
- Citations
- 359
- Citations per work
- 10.9
What does Sezgin Er research?
Sezgin Er's work is mostly in Computer Science (37%), Medicine (27%), Biochemistry, Genetics and Molecular Biology (6%).
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 Sciences1441.9%
- Computer Science1237.0%
- Engineering24.9%
- Health Sciences927.2%
- Medicine927.2%
- Everything else824.7%
- Life Sciences26.2%
- 1Artificial Intelligence22% of their works
- 2Radiology, Nuclear Medicine and Imaging20% of their works
- 3Computer Vision and Pattern Recognition15% of their works
- 4Health Informatics7% of their works
- 5Molecular Biology6% of their works
- 6Biomedical Engineering5% of their works
Research topics
Which keywords describe Sezgin Er's research?
The keywords of their largest research topics: Deep Learning, Machine Learning, Medical Imaging, Convolutional Neural Networks, Precision Medicine, Artificial Intelligence, Medical Image Analysis and Computer-Aided Detection.
- Word Representation
- Spine Segmentation
- Machine Translation
- Chest X-Ray
- Visual Question Answering
- Healthcare
- Radiomics
- Neural Networks
- Computer-Aided Detection
- Artificial Intelligence
- Convolutional Neural Networks
- Machine Learning
- Deep Learning
- Medical Imaging
- Precision Medicine
- Medical Image Analysis
- Histopathology Images
- Quantitative Analysis
- Clinical Decision Support
- Image Captioning
- COVID-19
- Image Recognition
- Object Detection
- Vertebrae 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 Learning285 topics
- Machine Learning263 topics
- Medical Imaging203 topics
- Convolutional Neural Networks183 topics
- Precision Medicine162 topics
- Artificial Intelligence143 topics
- Medical Image Analysis142 topics
- Computer-Aided Detection101 topic
- Histopathology Images101 topic
- Neural Networks102 topics
- Quantitative Analysis101 topic
- Radiomics101 topic
- Clinical Decision Support61 topic
- Healthcare61 topic
- Image Captioning61 topic
- Visual Question Answering61 topic
- COVID-1941 topic
- Chest X-Ray41 topic
- Image Recognition41 topic
- Machine Translation41 topic
- Object Detection41 topic
- Spine Segmentation41 topic
- Vertebrae Detection41 topic
- Word Representation41 topic
Where does Sezgin Er work?
Sezgin Er's main affiliation in the publication record is Istanbul Medipol University, Türkiye.
How many publications and citations does Sezgin Er have?
OpenAlex counts 33 works and 359 citations for Sezgin Er, an h-index of 10, ranking #1,010,563 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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