Thorsteinn Rögnvaldsson
Thorsteinn Rögnvaldsson publishes mostly in Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition, on topics such as Fault Detection and Control Systems, Neural Networks and Applications and Anomaly Detection Techniques and Applications.
- World rank
- #1,451,460 of 7,710,434 ranked researchers
- Rank in Sweden
- #18,763 of 71,437
- Works
- 124
- Citations
- 2.3k
- Citations per work
- 18.9
What does Thorsteinn Rögnvaldsson research?
Thorsteinn Rögnvaldsson's work is mostly in Computer Science (30%), Engineering (17%), Biochemistry, Genetics and Molecular Biology (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 Sciences6350.5%
- Computer Science3729.7%
- Engineering2217.5%
- Physics and Astronomy43.3%
- Everything else5443.3%
- Life Sciences86.2%
- 1Artificial Intelligence22% of their works
- 2Control and Systems Engineering14% of their works
- 3Computer Vision and Pattern Recognition8% of their works
- 4Molecular Biology6% of their works
- 5Nuclear and High Energy Physics3% of their works
- 6Automotive Engineering3% of their works
Research topics
Which keywords describe Thorsteinn Rögnvaldsson's research?
The keywords of their largest research topics: Deep Learning, Machine Learning, Neural Networks, Fault Detection, Process Monitoring, Backpropagation Learning, Self-Organizing Maps and Anomaly Detection.
- Fault Diagnosis
- Eco-Driving
- Mass Spectrometry
- Protein
- Electronic Health Records
- Anomaly Detection
- Backpropagation Learning
- Fault Detection
- Machine Learning
- Deep Learning
- Neural Networks
- Process Monitoring
- Self-Organizing Maps
- Unsupervised
- Healthcare
- Subcellular Localization
- Proteomics
- Empirical Mode Decomposition
- Fuel Consumption
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 19 words, with their numbers
- Deep Learning434 topics
- Machine Learning403 topics
- Neural Networks343 topics
- Fault Detection241 topic
- Process Monitoring241 topic
- Backpropagation Learning141 topic
- Self-Organizing Maps141 topic
- Anomaly Detection131 topic
- Unsupervised131 topic
- Electronic Health Records91 topic
- Healthcare91 topic
- Protein91 topic
- Subcellular Localization91 topic
- Mass Spectrometry81 topic
- Proteomics81 topic
- Eco-Driving71 topic
- Empirical Mode Decomposition71 topic
- Fault Diagnosis71 topic
- Fuel Consumption71 topic
Where does Thorsteinn Rögnvaldsson work?
Thorsteinn Rögnvaldsson's main affiliation in the publication record is Halmstad University, Sweden.
How many publications and citations does Thorsteinn Rögnvaldsson have?
OpenAlex counts 124 works and 2,340 citations for Thorsteinn Rögnvaldsson, an h-index of 24, ranking #1,451,460 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.
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