Nouar AlDahoul
Nouar AlDahoul publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Artificial Intelligence in Healthcare and Education, Hate Speech and Cyberbullying Detection and Video Surveillance and Tracking Methods.
- World rank
- #397,884 of 7,710,434 ranked researchers
- Rank in Malaysia
- #1,174 of 41,196
- Works
- 139
- Citations
- 1.3k
- Citations per work
- 9.7
What does Nouar AlDahoul research?
Nouar AlDahoul's work is mostly in Computer Science (46%), Social Sciences (4%), Medicine (3%).
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 else6647.3%
- Physical Sciences6345.6%
- Computer Science6345.6%
- Social Sciences53.7%
- Social Sciences53.7%
- Health Sciences53.4%
- Medicine53.4%
- 1Artificial Intelligence19% of their works
- 2Computer Vision and Pattern Recognition19% of their works
- 3Information Systems4% of their works
- 4Sociology and Political Science4% of their works
- 5Computer Networks and Communications3% of their works
- 6Health Informatics3% of their works
Research topics
- Artificial Intelligence in Healthcare and Education
- Hate Speech and Cyberbullying Detection
- Video Surveillance and Tracking Methods
- Misinformation and Its Impacts
- Anomaly Detection Techniques and Applications
- Network Security and Intrusion Detection
- Advanced Neural Network Applications
- Digital Imaging for Blood Diseases
Which keywords describe Nouar AlDahoul's research?
The keywords of their largest research topics: Deep Learning, Machine Learning, Convolutional Neural Networks, Social Media, Anomaly Detection, Artificial Intelligence, Healthcare and Detection.
- Malaria Parasite Detection
- Image Recognition
- Outlier Detection
- Intrusion Detection
- Fake News
- Object Tracking
- Detection
- Artificial Intelligence
- Social Media
- Machine Learning
- Deep Learning
- Convolutional Neural Networks
- Anomaly Detection
- Healthcare
- Hate Speech
- Visual Tracking
- Misinformation
- Network Security
- Unsupervised
- Leukemia Classification
- Object Detection
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 Learning485 topics
- Machine Learning414 topics
- Convolutional Neural Networks273 topics
- Social Media212 topics
- Anomaly Detection182 topics
- Artificial Intelligence131 topic
- Healthcare131 topic
- Detection111 topic
- Hate Speech111 topic
- Object Tracking111 topic
- Visual Tracking111 topic
- Fake News101 topic
- Misinformation101 topic
- Intrusion Detection91 topic
- Network Security91 topic
- Outlier Detection91 topic
- Unsupervised91 topic
- Image Recognition81 topic
- Leukemia Classification81 topic
- Malaria Parasite Detection81 topic
- Object Detection81 topic
Where does Nouar AlDahoul work?
Nouar AlDahoul's main affiliation in the publication record is Multimedia University, Malaysia.
How many publications and citations does Nouar AlDahoul have?
OpenAlex counts 139 works and 1,342 citations for Nouar AlDahoul, an h-index of 22, ranking #397,884 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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