Roohallah Alizadehsani
Roohallah Alizadehsani publishes mostly in Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine, on topics such as Artificial Intelligence in Healthcare, COVID-19 diagnosis using AI and Machine Learning in Healthcare.
- World rank
- #16,518 of 7,710,434 ranked researchers
- Rank in Australia
- #427 of 140,210
- Works
- 250
- Citations
- 9k
- Citations per work
- 36.0
What does Roohallah Alizadehsani research?
Roohallah Alizadehsani's work is mostly in Computer Science (22%), Medicine (16%), Health Professions (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
- Everything else12650.3%
- Health Sciences5522.1%
- Medicine4116.3%
- Health Professions145.8%
- Physical Sciences5521.9%
- Computer Science5521.9%
- Life Sciences145.7%
- Neuroscience145.7%
- 1Artificial Intelligence16% of their works
- 2Radiology, Nuclear Medicine and Imaging9% of their works
- 3Cardiology and Cardiovascular Medicine8% of their works
- 4Health Information Management6% of their works
- 5Computer Vision and Pattern Recognition6% of their works
- 6Cognitive Neuroscience6% of their works
Research topics
Which keywords describe Roohallah Alizadehsani's research?
The keywords of their largest research topics: Deep Learning, Machine Learning, Healthcare, Medical Imaging, Transfer Learning, Convolutional Neural Networks, Big Data Analytics and Medical Diagnosis.
- Histopathology Images
- ECG Signal
- Arrhythmia Detection
- Anomaly Detection
- Brain-Computer Interfaces
- Electronic Health Records
- COVID-19
- Medical Diagnosis
- Convolutional Neural Networks
- Medical Imaging
- Machine Learning
- Deep Learning
- Healthcare
- Transfer Learning
- Big Data Analytics
- Classification
- Chest X-Ray
- Predictive Modeling
- EEG Analysis
- Unsupervised
- Brain Tumor
- MRI
- Medical Image Analysis
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 23 words, with their numbers
- Deep Learning1126 topics
- Machine Learning703 topics
- Healthcare612 topics
- Medical Imaging422 topics
- Transfer Learning422 topics
- Convolutional Neural Networks412 topics
- Big Data Analytics391 topic
- Medical Diagnosis391 topic
- Classification322 topics
- COVID-19261 topic
- Chest X-Ray261 topic
- Electronic Health Records221 topic
- Predictive Modeling221 topic
- Brain-Computer Interfaces201 topic
- EEG Analysis201 topic
- Anomaly Detection171 topic
- Unsupervised171 topic
- Arrhythmia Detection161 topic
- Brain Tumor161 topic
- ECG Signal161 topic
- MRI161 topic
- Histopathology Images151 topic
- Medical Image Analysis151 topic
Where does Roohallah Alizadehsani work?
Roohallah Alizadehsani's main affiliation in the publication record is Deakin University, Australia.
How many publications and citations does Roohallah Alizadehsani have?
OpenAlex counts 250 works and 9,011 citations for Roohallah Alizadehsani, an h-index of 49, ranking #16,518 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.
Other researchers named Roohallah Alizadehsani
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