Hammam A. Alshazly
Hammam A. Alshazly publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, on topics such as Face recognition and analysis, Biometric Identification and Security and COVID-19 diagnosis using AI.
- World rank
- #111,415 of 7,710,434 ranked researchers
- Rank in Egypt
- #302 of 36,277
- Works
- 51
- Citations
- 2.5k
- Citations per work
- 49.4
What does Hammam A. Alshazly research?
Hammam A. Alshazly's work is mostly in Computer Science (60%), Medicine (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 Sciences3160.0%
- Computer Science3160.0%
- Everything else1732.7%
- Health Sciences47.3%
- Medicine47.3%
- 1Computer Vision and Pattern Recognition25% of their works
- 2Artificial Intelligence16% of their works
- 3Signal Processing7% of their works
- 4Radiology, Nuclear Medicine and Imaging7% of their works
- 5Computer Networks and Communications6% of their works
- 6Information Systems6% of their works
Research topics
- Face recognition and analysis
- Biometric Identification and Security
- COVID-19 diagnosis using AI
- Anomaly Detection Techniques and Applications
- Advanced Neural Network Applications
- Reconstructive Facial Surgery Techniques
- Brain Tumor Detection and Classification
- Metaheuristic Optimization Algorithms Research
Which keywords describe Hammam A. Alshazly's research?
The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Feature Extraction, Face Recognition, Facial Landmark Detection, Biometric Recognition, Security and Medical Imaging.
- MRI
- Brain Tumor
- Object Detection
- Craniofacial
- Anomaly Detection
- COVID-19
- Medical Imaging
- Biometric Recognition
- Face Recognition
- Convolutional Neural Networks
- Deep Learning
- Feature Extraction
- Facial Landmark Detection
- Security
- Transfer Learning
- Chest X-Ray
- Unsupervised
- Image Recognition
- Reconstruction
- Differential Evolution
- Particle Swarm Optimization
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 Learning325 topics
- Convolutional Neural Networks233 topics
- Feature Extraction142 topics
- Face Recognition121 topic
- Facial Landmark Detection121 topic
- Biometric Recognition111 topic
- Security111 topic
- Medical Imaging102 topics
- Transfer Learning102 topics
- COVID-1971 topic
- Chest X-Ray71 topic
- Anomaly Detection61 topic
- Unsupervised61 topic
- Craniofacial41 topic
- Image Recognition41 topic
- Object Detection41 topic
- Reconstruction41 topic
- Brain Tumor31 topic
- Differential Evolution31 topic
- MRI31 topic
- Particle Swarm Optimization31 topic
Where does Hammam A. Alshazly work?
Hammam A. Alshazly's main affiliation in the publication record is South Valley University, Egypt.
How many publications and citations does Hammam A. Alshazly have?
OpenAlex counts 51 works and 2,521 citations for Hammam A. Alshazly, an h-index of 30, ranking #111,415 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.
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