Ahed Abugabah
Ahed Abugabah publishes mostly in Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Health Informatics, on topics such as COVID-19 diagnosis using AI, Artificial Intelligence in Healthcare and Education and AI in cancer detection.
- World rank
- #4,513,450 of 7,710,434 ranked researchers
- Rank in United Arab Emirates
- #4,421 of 6,273
- Works
- 26
- Citations
- 220
- Citations per work
- 8.5
What does Ahed Abugabah research?
Ahed Abugabah's work is mostly in Medicine (29%), Computer Science (18%), Health Professions (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
- Everything else1141.1%
- Health Sciences935.6%
- Medicine728.8%
- Health Professions26.8%
- Physical Sciences517.8%
- Computer Science517.8%
- Life Sciences15.5%
- Neuroscience15.5%
- 1Radiology, Nuclear Medicine and Imaging19% of their works
- 2Artificial Intelligence12% of their works
- 3Health Informatics10% of their works
- 4General Health Professions7% of their works
- 5Neurology6% of their works
- 6Computer Networks and Communications6% of their works
Research topics
- COVID-19 diagnosis using AI
- Artificial Intelligence in Healthcare and Education
- AI in cancer detection
- Brain Tumor Detection and Classification
- Patient Satisfaction in Healthcare
- Artificial Intelligence in Healthcare
- Radiomics and Machine Learning in Medical Imaging
- Job Satisfaction and Organizational Behavior
Which keywords describe Ahed Abugabah's research?
The keywords of their largest research topics: Medical Imaging, Machine Learning, Deep Learning, Artificial Intelligence, Convolutional Neural Networks, Transfer Learning, Chest X-Ray and COVID-19.
- Radiomics
- Patient Satisfaction
- Medical Diagnosis
- Healthcare Quality
- Big Data Analytics
- Histopathology Images
- Ethical Challenges
- Precision Medicine
- Chest X-Ray
- Transfer Learning
- Artificial Intelligence
- Machine Learning
- Medical Imaging
- Deep Learning
- Convolutional Neural Networks
- COVID-19
- Healthcare
- Clinical Decision Support
- Feature Extraction
- Medical Image Analysis
- Brain Tumor
- MRI
- Organizational Behavior
- Quantitative Analysis
- Work Engagement
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 25 words, with their numbers
- Medical Imaging234 topics
- Machine Learning225 topics
- Deep Learning193 topics
- Artificial Intelligence172 topics
- Convolutional Neural Networks162 topics
- Transfer Learning132 topics
- COVID-19101 topic
- Chest X-Ray101 topic
- Healthcare102 topics
- Precision Medicine102 topics
- Clinical Decision Support71 topic
- Ethical Challenges71 topic
- Feature Extraction62 topics
- Histopathology Images61 topic
- Medical Image Analysis61 topic
- Big Data Analytics31 topic
- Brain Tumor31 topic
- Healthcare Quality31 topic
- MRI31 topic
- Medical Diagnosis31 topic
- Organizational Behavior31 topic
- Patient Satisfaction31 topic
- Quantitative Analysis31 topic
- Radiomics31 topic
- Work Engagement31 topic
Where does Ahed Abugabah work?
Ahed Abugabah's main affiliation in the publication record is Zayed University, United Arab Emirates.
How many publications and citations does Ahed Abugabah have?
OpenAlex counts 26 works and 220 citations for Ahed Abugabah, an h-index of 9, ranking #4,513,450 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.
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