Solve Sæbø
Solve Sæbø publishes mostly in Analytical Chemistry, Statistics and Probability and Artificial Intelligence, on topics such as Spectroscopy and Chemometric Analyses, Advanced Statistical Methods and Models and Sensory Analysis and Statistical Methods.
- World rank
- #497,929 of 1,633,909 ranked researchers
- Rank in Norway
- #2,398 of 6,482
- Works
- 18
- Citations
- 113
- Citations per work
- 6.3
What does Solve Sæbø research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Analytical Chemistry17% of their works
- 2Statistics and Probability13% of their works
- 3Artificial Intelligence13% of their works
- 4Food Science13% of their works
- 5Ecology9% of their works
- 6Molecular Biology4% of their works
Research topics
- Spectroscopy and Chemometric Analyses
- Advanced Statistical Methods and Models
- Sensory Analysis and Statistical Methods
- Pesticide Residue Analysis and Safety
- Genetic and phenotypic traits in livestock
- Gene expression and cancer classification
- Adversarial Robustness in Machine Learning
- Explainable Artificial Intelligence (XAI)
Which keywords describe Solve Sæbø's research?
The keywords of their largest research topics: Principal Component Analysis, Multivariate Calibration, Near-Infrared Spectroscopy, Multicollinearity, Regression Analysis, Consumer Perception, Machine Learning and Sensory Analysis.
- Plant Breeding
- Microarray
- Liquid Chromatography
- Genomic Selection
- Deep Learning
- Sensory Analysis
- Consumer Perception
- Multicollinearity
- Multivariate Calibration
- Principal Component Analysis
- Near-Infrared Spectroscopy
- Regression Analysis
- Machine Learning
- Adversarial Examples
- Gene Expression
- Interpretable Models
- Machine Learning Interpretability
- Pesticide Residues
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 18 words, with their numbers
- Principal Component Analysis72 topics
- Multivariate Calibration41 topic
- Near-Infrared Spectroscopy41 topic
- Multicollinearity31 topic
- Regression Analysis31 topic
- Consumer Perception21 topic
- Machine Learning22 topics
- Sensory Analysis21 topic
- Adversarial Examples11 topic
- Deep Learning11 topic
- Gene Expression11 topic
- Genomic Selection11 topic
- Interpretable Models11 topic
- Liquid Chromatography11 topic
- Machine Learning Interpretability11 topic
- Microarray11 topic
- Pesticide Residues11 topic
- Plant Breeding11 topic
Where does Solve Sæbø work?
Solve Sæbø's main affiliation in the publication record is Norwegian University of Life Sciences, Norway.
How many publications and citations does Solve Sæbø have?
Science Explorer counts 18 works and 113 citations for Solve Sæbø, ranking #497,929 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.