Kjersti Engan
Kjersti Engan publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, on topics such as AI in cancer detection, Image and Signal Denoising Methods and Sparse and Compressive Sensing Techniques.
- World rank
- #1,394,624 of 7,710,434 ranked researchers
- Rank in Norway
- #8,866 of 33,005
- Works
- 179
- Citations
- 6.5k
- Citations per work
- 36.5
What does Kjersti Engan research?
Kjersti Engan's work is mostly in Computer Science (29%), Medicine (23%), Engineering (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 else7642.7%
- Physical Sciences6134.2%
- Computer Science5128.6%
- Engineering105.6%
- Health Sciences4123.1%
- Medicine4123.1%
- 1Computer Vision and Pattern Recognition16% of their works
- 2Artificial Intelligence13% of their works
- 3Radiology, Nuclear Medicine and Imaging12% of their works
- 4Surgery6% of their works
- 5Biomedical Engineering6% of their works
- 6Cardiology and Cardiovascular Medicine5% of their works
Research topics
Which keywords describe Kjersti Engan's research?
The keywords of their largest research topics: Convolutional Neural Networks, Machine Learning, Deep Learning, Medical Image Analysis, Computer-Aided Detection, Histopathology Images, Feature Extraction and Image Denoising.
- Preterm Infants
- Malaria Parasite Detection
- Bronchopulmonary Dysplasia
- Cardiac Imaging
- Photoplethysmography
- Compressed Sensing
- Image Denoising
- Histopathology Images
- Medical Image Analysis
- Machine Learning
- Convolutional Neural Networks
- Deep Learning
- Computer-Aided Detection
- Feature Extraction
- Sparse Representations
- Sparse Representation
- Remote Monitoring
- Coronary Artery Disease
- Leukemia Classification
- Medical Imaging
- Radiomics
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 21 words, with their numbers
- Convolutional Neural Networks833 topics
- Machine Learning773 topics
- Deep Learning672 topics
- Medical Image Analysis612 topics
- Computer-Aided Detection451 topic
- Histopathology Images451 topic
- Feature Extraction322 topics
- Image Denoising221 topic
- Sparse Representations221 topic
- Compressed Sensing191 topic
- Sparse Representation191 topic
- Photoplethysmography181 topic
- Remote Monitoring181 topic
- Cardiac Imaging171 topic
- Coronary Artery Disease171 topic
- Bronchopulmonary Dysplasia161 topic
- Leukemia Classification161 topic
- Malaria Parasite Detection161 topic
- Medical Imaging161 topic
- Preterm Infants161 topic
- Radiomics161 topic
Where does Kjersti Engan work?
Kjersti Engan's main affiliation in the publication record is University of Stavanger, Norway.
How many publications and citations does Kjersti Engan have?
OpenAlex counts 179 works and 6,540 citations for Kjersti Engan, an h-index of 25, ranking #1,394,624 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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