Ümit Budak
Ümit Budak publishes mostly in Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, on topics such as Retinal Imaging and Analysis, AI in cancer detection and Digital Imaging for Blood Diseases.
- World rank
- #583,088 of 7,710,434 ranked researchers
- Rank in Türkiye
- #1,683 of 117,622
- Works
- 56
- Citations
- 2.2k
- Citations per work
- 40.0
What does Ümit Budak research?
Ümit Budak's work is mostly in Computer Science (27%), Medicine (19%), Engineering (11%).
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 else2443.0%
- Physical Sciences2138.2%
- Computer Science1526.9%
- Engineering611.3%
- Health Sciences1118.8%
- Medicine1118.8%
- 1Computer Vision and Pattern Recognition20% of their works
- 2Radiology, Nuclear Medicine and Imaging12% of their works
- 3Artificial Intelligence7% of their works
- 4Biomedical Engineering7% of their works
- 5Ophthalmology6% of their works
- 6Electrical and Electronic Engineering4% of their works
Research topics
Which keywords describe Ümit Budak's research?
The keywords of their largest research topics: Machine Learning, Deep Learning, Feature Extraction, Glaucoma, Optic Nerve, Convolutional Neural Networks, Medical Image Analysis and Diabetic Retinopathy.
- Shape Matching
- Content-Based Image Retrieval
- Radiomics
- Retinal Ganglion Cells
- Intraocular Pressure
- Malaria Parasite Detection
- Histopathology Images
- Medical Imaging
- Diabetic Retinopathy
- Convolutional Neural Networks
- Glaucoma
- Deep Learning
- Machine Learning
- Feature Extraction
- Optic Nerve
- Medical Image Analysis
- Retinal Disease
- Computer-Aided Detection
- Leukemia Classification
- Brain Tumor
- MRI
- Quantitative Analysis
- Brain-Computer Interfaces
- EEG Analysis
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 Learning315 topics
- Deep Learning273 topics
- Feature Extraction193 topics
- Glaucoma192 topics
- Optic Nerve192 topics
- Convolutional Neural Networks162 topics
- Medical Image Analysis162 topics
- Diabetic Retinopathy131 topic
- Retinal Disease131 topic
- Medical Imaging112 topics
- Computer-Aided Detection81 topic
- Histopathology Images81 topic
- Leukemia Classification81 topic
- Malaria Parasite Detection81 topic
- Brain Tumor61 topic
- Intraocular Pressure61 topic
- MRI61 topic
- Retinal Ganglion Cells61 topic
- Quantitative Analysis51 topic
- Radiomics51 topic
- Brain-Computer Interfaces41 topic
- Content-Based Image Retrieval41 topic
- EEG Analysis41 topic
- Shape Matching41 topic
Where does Ümit Budak work?
Ümit Budak's main affiliation in the publication record is Bitlis Eren University, Türkiye.
How many publications and citations does Ümit Budak have?
OpenAlex counts 56 works and 2,242 citations for Ümit Budak, an h-index of 24, ranking #583,088 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.
Other researchers named Ümit Budak
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