Samuel Kaski
Samuel Kaski publishes mostly in Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition, on topics such as Neural Networks and Applications, Gene expression and cancer classification and Gaussian Processes and Bayesian Inference.
- World rank
- #371,869 of 7,710,434 ranked researchers
- Rank in Finland
- #2,170 of 37,370
- Works
- 635
- Citations
- 15k
- Citations per work
- 24.1
What does Samuel Kaski research?
Samuel Kaski's work is mostly in Computer Science (45%), Biochemistry, Genetics and Molecular Biology (16%), Mathematics (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 Sciences32350.9%
- Computer Science28845.3%
- Mathematics365.6%
- Everything else18929.7%
- Life Sciences12319.4%
- Biochemistry, Genetics and Molecular Biology10015.7%
- Neuroscience233.7%
- 1Artificial Intelligence32% of their works
- 2Molecular Biology16% of their works
- 3Computer Vision and Pattern Recognition10% of their works
- 4Statistics and Probability6% of their works
- 5Information Systems4% of their works
- 6Cognitive Neuroscience4% of their works
Research topics
Which keywords describe Samuel Kaski's research?
The keywords of their largest research topics: Machine Learning, Deep Learning, Clustering, Bayesian Inference, Variational Inference, Gaussian Processes, Neural Networks and Self-Organizing Maps.
- Shape Matching
- Virtual Screening
- Molecular Docking
- Mixture Models
- Protein-Protein Interaction Networks
- Sparse Regression
- Microarray
- Self-Organizing Maps
- Gaussian Processes
- Bayesian Inference
- Deep Learning
- Machine Learning
- Clustering
- Variational Inference
- Neural Networks
- Gene Expression
- Probabilistic Models
- Gene Set Enrichment Analysis
- Dirichlet Process
- Active Learning
- Semi-Supervised Learning
- Content-Based Image Retrieval
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 22 words, with their numbers
- Machine Learning2765 topics
- Deep Learning2063 topics
- Clustering1422 topics
- Bayesian Inference1272 topics
- Variational Inference1272 topics
- Gaussian Processes1142 topics
- Neural Networks921 topic
- Self-Organizing Maps921 topic
- Gene Expression891 topic
- Microarray891 topic
- Probabilistic Models741 topic
- Sparse Regression741 topic
- Gene Set Enrichment Analysis571 topic
- Protein-Protein Interaction Networks571 topic
- Dirichlet Process531 topic
- Mixture Models531 topic
- Active Learning401 topic
- Molecular Docking401 topic
- Semi-Supervised Learning401 topic
- Virtual Screening401 topic
- Content-Based Image Retrieval331 topic
- Shape Matching331 topic
Where does Samuel Kaski work?
Samuel Kaski's main affiliation in the publication record is Aalto University, Finland.
How many publications and citations does Samuel Kaski have?
OpenAlex counts 635 works and 15,306 citations for Samuel Kaski, an h-index of 58, ranking #371,869 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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