Cavit Kerem Kayhan
Cavit Kerem Kayhan publishes mostly in Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Oncology, on topics such as AI in cancer detection, Radiomics and Machine Learning in Medical Imaging and Animal Virus Infections Studies.
- World rank
- #3,373,199 of 7,710,434 ranked researchers
- Rank in Türkiye
- #22,462 of 117,622
- Works
- 22
- Citations
- 154
- Citations per work
- 7.0
What does Cavit Kerem Kayhan research?
Cavit Kerem Kayhan's work is mostly in Medicine (36%), Computer Science (14%), Biochemistry, Genetics and Molecular Biology (5%).
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
- Everything else1044.8%
- Health Sciences836.2%
- Medicine836.2%
- Physical Sciences313.8%
- Computer Science313.8%
- Life Sciences15.2%
- 1Artificial Intelligence14% of their works
- 2Radiology, Nuclear Medicine and Imaging12% of their works
- 3Oncology9% of their works
- 4Pulmonary and Respiratory Medicine9% of their works
- 5Infectious Diseases7% of their works
- 6Molecular Biology5% of their works
Research topics
Which keywords describe Cavit Kerem Kayhan's research?
The keywords of their largest research topics: Machine Learning, Deep Learning, Medical Image Analysis, Computer-Aided Detection, Feature Extraction, Histopathology Images, Medical Imaging and Radiomics.
- spike protein
- Rotavirus
- Norovirus
- Leukemia Classification
- Circovirus
- CAR T Cells
- Image Processing
- Coronavirus
- Radiomics
- Histopathology Images
- Computer-Aided Detection
- Deep Learning
- Machine Learning
- Medical Image Analysis
- Feature Extraction
- Medical Imaging
- Vaccine
- Epidemiology
- Bioimage Analysis
- Chimeric Antigen Receptor
- High-Content Screening
- Malaria Parasite Detection
- Porcine Reproductive and Respiratory Syndrome Virus
- SARS-CoV-2
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 24 words, with their numbers
- Machine Learning184 topics
- Deep Learning102 topics
- Medical Image Analysis102 topics
- Computer-Aided Detection81 topic
- Feature Extraction82 topics
- Histopathology Images81 topic
- Medical Imaging61 topic
- Radiomics61 topic
- Vaccine63 topics
- Coronavirus42 topics
- Epidemiology42 topics
- Image Processing42 topics
- Bioimage Analysis21 topic
- CAR T Cells21 topic
- Chimeric Antigen Receptor21 topic
- Circovirus21 topic
- High-Content Screening21 topic
- Leukemia Classification21 topic
- Malaria Parasite Detection21 topic
- Norovirus21 topic
- Porcine Reproductive and Respiratory Syndrome Virus21 topic
- Rotavirus21 topic
- SARS-CoV-221 topic
- spike protein21 topic
Where does Cavit Kerem Kayhan work?
Cavit Kerem Kayhan's main affiliation in the publication record is Acıbadem University, Türkiye.
How many publications and citations does Cavit Kerem Kayhan have?
OpenAlex counts 22 works and 154 citations for Cavit Kerem Kayhan, an h-index of 6, ranking #3,373,199 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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