Khadija Rais
Khadija Rais publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, on topics such as AI in cancer detection, Generative Adversarial Networks and Image Synthesis and Advanced Malware Detection Techniques.
- World rank
- #1,756,693 of 7,710,434 ranked researchers
- Rank in Algeria
- #587 of 10,068
- Works
- 22
- Citations
- 66
- Citations per work
- 3.0
What does Khadija Rais research?
Khadija Rais's work is mostly in Computer Science (61%), Medicine (13%), Neuroscience (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
- Physical Sciences1361.1%
- Computer Science1361.1%
- Everything else420.3%
- Health Sciences313.0%
- Medicine313.0%
- Life Sciences15.6%
- Neuroscience15.6%
- 1Artificial Intelligence32% of their works
- 2Computer Vision and Pattern Recognition15% of their works
- 3Radiology, Nuclear Medicine and Imaging13% of their works
- 4Signal Processing7% of their works
- 5Computer Networks and Communications7% of their works
- 6Neurology6% of their works
Research topics
- AI in cancer detection
- Generative Adversarial Networks and Image Synthesis
- Advanced Malware Detection Techniques
- Brain Tumor Detection and Classification
- Anomaly Detection Techniques and Applications
- Software System Performance and Reliability
- Advanced Neural Network Applications
- Radiomics and Machine Learning in Medical Imaging
Which keywords describe Khadija Rais's research?
The keywords of their largest research topics: Deep Learning, Machine Learning, Convolutional Neural Networks, Histopathology Images, Medical Image Analysis, Neural Networks, Anomaly Detection and Feature Extraction.
- Radiomics
- Performance Prediction
- Object Detection
- Log Analysis
- Brain Tumor
- Generative Adversarial Networks
- Android Malware
- Feature Extraction
- Neural Networks
- Histopathology Images
- Machine Learning
- Deep Learning
- Convolutional Neural Networks
- Medical Image Analysis
- Anomaly Detection
- Medical Imaging
- Detection
- Image Synthesis
- Image Recognition
- MRI
- Outlier Detection
- Quantitative Analysis
- Unsupervised
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.
All 23 words, with their numbers
- Deep Learning246 topics
- Machine Learning174 topics
- Convolutional Neural Networks102 topics
- Histopathology Images71 topic
- Medical Image Analysis71 topic
- Neural Networks72 topics
- Anomaly Detection62 topics
- Feature Extraction62 topics
- Medical Imaging62 topics
- Android Malware41 topic
- Detection41 topic
- Generative Adversarial Networks41 topic
- Image Synthesis41 topic
- Brain Tumor31 topic
- Image Recognition31 topic
- Log Analysis31 topic
- MRI31 topic
- Object Detection31 topic
- Outlier Detection31 topic
- Performance Prediction31 topic
- Quantitative Analysis31 topic
- Radiomics31 topic
- Unsupervised31 topic
Where does Khadija Rais work?
Khadija Rais's main affiliation in the publication record is Université Larbi Tébessi, Algeria.
How many publications and citations does Khadija Rais have?
OpenAlex counts 22 works and 66 citations for Khadija Rais, an h-index of 5, ranking #1,756,693 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised 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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