Mohamed Aouf
Mohamed Aouf publishes mostly in Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Molecular Biology, on topics such as Retinal Imaging and Analysis, Brain Tumor Detection and Classification and AI in cancer detection.
- World rank
- #4,961,094 of 7,710,434 ranked researchers
- Rank in Egypt
- #18,902 of 36,277
- Works
- 20
- Citations
- 241
- Citations per work
- 12.1
What does Mohamed Aouf research?
Mohamed Aouf's work is mostly in Computer Science (20%), Medicine (15%), Biochemistry, Genetics and Molecular Biology (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 else840.7%
- Physical Sciences627.8%
- Computer Science420.4%
- Engineering17.4%
- Life Sciences316.7%
- Health Sciences314.8%
- Medicine314.8%
- 1Radiology, Nuclear Medicine and Imaging15% of their works
- 2Computer Vision and Pattern Recognition15% of their works
- 3Molecular Biology11% of their works
- 4Biomedical Engineering7% of their works
- 5Artificial Intelligence6% of their works
- 6Neurology6% of their works
Research topics
Which keywords describe Mohamed Aouf's research?
The keywords of their largest research topics: Deep Learning, Machine Learning, Diabetic Retinopathy, Macular Degeneration, Convolutional Neural Network, Retinal Disease, Vessel Segmentation and Brain Tumor.
- Retinal Pigment Epithelium
- Oxidative Stress
- Microarray
- Gene Expression
- Contrast Enhancement
- MRI
- Brain Tumor
- Retinal Disease
- Macular Degeneration
- Machine Learning
- Deep Learning
- Diabetic Retinopathy
- Convolutional Neural Network
- Vessel Segmentation
- Histopathology Images
- Medical Image Analysis
- Dehazing
- Image Fusion
- Multispectral
- Photoacoustic Imaging
- Tomography
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 21 words, with their numbers
- Deep Learning124 topics
- Machine Learning83 topics
- Diabetic Retinopathy62 topics
- Macular Degeneration62 topics
- Convolutional Neural Network52 topics
- Retinal Disease41 topic
- Vessel Segmentation41 topic
- Brain Tumor31 topic
- Histopathology Images31 topic
- MRI31 topic
- Medical Image Analysis31 topic
- Contrast Enhancement21 topic
- Dehazing21 topic
- Gene Expression21 topic
- Image Fusion21 topic
- Microarray21 topic
- Multispectral21 topic
- Oxidative Stress21 topic
- Photoacoustic Imaging21 topic
- Retinal Pigment Epithelium21 topic
- Tomography21 topic
Where does Mohamed Aouf work?
Mohamed Aouf's main affiliation in the publication record is Higher Technological Institute, Egypt.
How many publications and citations does Mohamed Aouf have?
OpenAlex counts 20 works and 241 citations for Mohamed Aouf, an h-index of 4, ranking #4,961,094 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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