Omar Elharrouss
Omar Elharrouss publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, on topics such as Video Surveillance and Tracking Methods, Anomaly Detection Techniques and Applications and Advanced Image and Video Retrieval Techniques.
- World rank
- #270,588 of 7,710,434 ranked researchers
- Rank in Qatar
- #210 of 3,423
- Works
- 100
- Citations
- 2.9k
- Citations per work
- 28.8
What does Omar Elharrouss research?
Omar Elharrouss's work is mostly in Computer Science (68%), Engineering (7%), Medicine (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 Sciences7474.2%
- Computer Science6867.5%
- Engineering76.7%
- Everything else2020.1%
- Health Sciences65.7%
- Medicine65.7%
- 1Computer Vision and Pattern Recognition53% of their works
- 2Artificial Intelligence11% of their works
- 3Radiology, Nuclear Medicine and Imaging6% of their works
- 4Media Technology4% of their works
- 5Aerospace Engineering3% of their works
- 6Signal Processing3% of their works
Research topics
- Video Surveillance and Tracking Methods
- Anomaly Detection Techniques and Applications
- Advanced Image and Video Retrieval Techniques
- Digital Media Forensic Detection
- COVID-19 diagnosis using AI
- Advanced Neural Network Applications
- Advanced Steganography and Watermarking Techniques
- Face recognition and analysis
Which keywords describe Omar Elharrouss's research?
The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Object Tracking, Visual Tracking, Anomaly Detection, Unsupervised, Feature Matching and Local Descriptors.
- Facial Landmark Detection
- Steganography
- Object Detection
- Medical Imaging
- Digital Forensics
- Local Descriptors
- Unsupervised
- Visual Tracking
- Convolutional Neural Networks
- Deep Learning
- Object Tracking
- Anomaly Detection
- Feature Matching
- COVID-19
- Image Forgery Detection
- Image Recognition
- Reversible Data Embedding
- Face Recognition
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 18 words, with their numbers
- Deep Learning1208 topics
- Convolutional Neural Networks654 topics
- Object Tracking351 topic
- Visual Tracking351 topic
- Anomaly Detection201 topic
- Unsupervised201 topic
- Feature Matching141 topic
- Local Descriptors141 topic
- COVID-19111 topic
- Digital Forensics111 topic
- Image Forgery Detection111 topic
- Medical Imaging111 topic
- Image Recognition101 topic
- Object Detection101 topic
- Reversible Data Embedding101 topic
- Steganography101 topic
- Face Recognition91 topic
- Facial Landmark Detection91 topic
Where does Omar Elharrouss work?
Omar Elharrouss's main affiliation in the publication record is Qatar University, Qatar.
How many publications and citations does Omar Elharrouss have?
OpenAlex counts 100 works and 2,879 citations for Omar Elharrouss, an h-index of 27, ranking #270,588 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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