Mohammad Subhi Al-Batah
Mohammad Subhi Al-Batah publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Health Information Management, on topics such as Artificial Intelligence in Healthcare, AI in cancer detection and Brain Tumor Detection and Classification.
- World rank
- #127,919 of 7,710,434 ranked researchers
- Rank in Jordan
- #85 of 5,764
- Works
- 87
- Citations
- 1.5k
- Citations per work
- 17.2
What does Mohammad Subhi Al-Batah research?
Mohammad Subhi Al-Batah's work is mostly in Computer Science (32%), Health Professions (8%), Engineering (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 else4349.2%
- Physical Sciences3438.9%
- Computer Science2832.3%
- Engineering66.6%
- Health Sciences1011.9%
- Health Professions77.5%
- Medicine44.4%
- 1Artificial Intelligence16% of their works
- 2Computer Vision and Pattern Recognition12% of their works
- 3Health Information Management8% of their works
- 4Aerospace Engineering7% of their works
- 5Radiology, Nuclear Medicine and Imaging4% of their works
- 6Information Systems4% of their works
Research topics
Which keywords describe Mohammad Subhi Al-Batah's research?
The keywords of their largest research topics: Machine Learning, Deep Learning, Healthcare, Big Data Analytics, Convolutional Neural Networks, Medical Diagnosis, Histopathology Images and Medical Image Analysis.
- Predictive Modeling
- Landslide
- Hazard
- Wireless Communications
- MRI
- Brain Tumor
- Precision Medicine
- Medical Image Analysis
- Medical Diagnosis
- Big Data Analytics
- Deep Learning
- Machine Learning
- Healthcare
- Convolutional Neural Networks
- Histopathology Images
- Medical Imaging
- Artificial Intelligence
- Clinical Decision Support
- UAV Networks
- Electronic Health Records
- Image Recognition
- 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 22 words, with their numbers
- Machine Learning414 topics
- Deep Learning284 topics
- Healthcare283 topics
- Big Data Analytics171 topic
- Convolutional Neural Networks172 topics
- Medical Diagnosis171 topic
- Histopathology Images121 topic
- Medical Image Analysis121 topic
- Medical Imaging122 topics
- Precision Medicine112 topics
- Artificial Intelligence61 topic
- Brain Tumor61 topic
- Clinical Decision Support61 topic
- MRI61 topic
- UAV Networks61 topic
- Wireless Communications61 topic
- Electronic Health Records51 topic
- Hazard51 topic
- Image Recognition51 topic
- Landslide51 topic
- Object Detection51 topic
- Predictive Modeling51 topic
Where does Mohammad Subhi Al-Batah work?
Mohammad Subhi Al-Batah's main affiliation in the publication record is Jadara University, Jordan.
How many publications and citations does Mohammad Subhi Al-Batah have?
OpenAlex counts 87 works and 1,500 citations for Mohammad Subhi Al-Batah, an h-index of 25, ranking #127,919 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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