Warda M. Shaban
Warda M. Shaban publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, on topics such as AI in cancer detection, Artificial Intelligence in Healthcare and COVID-19 diagnosis using AI.
- World rank
- #290,078 of 7,710,434 ranked researchers
- Rank in Egypt
- #713 of 36,277
- Works
- 41
- Citations
- 975
- Citations per work
- 23.8
What does Warda M. Shaban research?
Warda M. Shaban's work is mostly in Computer Science (27%), Medicine (8%), Energy (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 else1844.7%
- Physical Sciences1741.0%
- Computer Science1126.8%
- Energy37.1%
- Engineering37.1%
- Health Sciences614.3%
- Medicine38.0%
- Health Professions36.3%
- 1Artificial Intelligence19% of their works
- 2Computer Vision and Pattern Recognition8% of their works
- 3Radiology, Nuclear Medicine and Imaging8% of their works
- 4Electrical and Electronic Engineering7% of their works
- 5Renewable Energy, Sustainability and the Environment7% of their works
- 6Health Information Management6% of their works
Research topics
Which keywords describe Warda M. Shaban's research?
The keywords of their largest research topics: Machine Learning, Deep Learning, Convolutional Neural Networks, Renewable Energy, Medical Imaging, Neural Networks, Big Data Analytics and Healthcare.
- Forecasting
- Radiomics
- Photovoltaic Arrays
- Load Forecasting
- Anomaly Detection
- COVID-19
- Medical Image Analysis
- Healthcare
- Neural Networks
- Renewable Energy
- Deep Learning
- Machine Learning
- Convolutional Neural Networks
- Medical Imaging
- Big Data Analytics
- Histopathology Images
- Solar Energy
- Chest X-Ray
- Electricity Price Forecasting
- Maximum Power Point Tracking
- Quantitative Analysis
- Unsupervised
- Solar Radiation
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
- Machine Learning214 topics
- Deep Learning204 topics
- Convolutional Neural Networks122 topics
- Renewable Energy113 topics
- Medical Imaging92 topics
- Neural Networks82 topics
- Big Data Analytics71 topic
- Healthcare71 topic
- Histopathology Images71 topic
- Medical Image Analysis71 topic
- Solar Energy72 topics
- COVID-1951 topic
- Chest X-Ray51 topic
- Anomaly Detection41 topic
- Electricity Price Forecasting41 topic
- Load Forecasting41 topic
- Maximum Power Point Tracking41 topic
- Photovoltaic Arrays41 topic
- Quantitative Analysis41 topic
- Radiomics41 topic
- Unsupervised41 topic
- Forecasting31 topic
- Solar Radiation31 topic
Where does Warda M. Shaban work?
Warda M. Shaban's main affiliation in the publication record is Higher Institute of Engineering, Egypt.
How many publications and citations does Warda M. Shaban have?
OpenAlex counts 41 works and 975 citations for Warda M. Shaban, an h-index of 14, ranking #290,078 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.
Discussion
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