Aki Vehtari
Aki Vehtari publishes mostly in Artificial Intelligence, Statistics and Probability and Molecular Biology, on topics such as Gaussian Processes and Bayesian Inference, Statistical Methods and Inference and Statistical Methods and Bayesian Inference.
- World rank
- #149,866 of 7,710,434 ranked researchers
- Rank in Finland
- #809 of 37,370
- Works
- 392
- Citations
- 36k
- Citations per work
- 91.7
What does Aki Vehtari research?
Aki Vehtari's work is mostly in Computer Science (26%), Mathematics (24%), Decision Sciences (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 Sciences21053.6%
- Computer Science10125.8%
- Mathematics9524.3%
- Engineering143.5%
- Everything else14236.1%
- Social Sciences256.4%
- Decision Sciences256.4%
- Life Sciences153.9%
- 1Artificial Intelligence26% of their works
- 2Statistics and Probability24% of their works
- 3Molecular Biology4% of their works
- 4Control and Systems Engineering4% of their works
- 5Statistics, Probability and Uncertainty3% of their works
- 6Management Science and Operations Research3% of their works
Research topics
Which keywords describe Aki Vehtari's research?
The keywords of their largest research topics: Bayesian Inference, Variational Inference, Big Data, Machine Learning, Gaussian Processes, Model Selection, Sparse Regression and Regularization.
- R language
- Markov Chain
- Bayesian Monte Carlo
- Bayesian Networks
- Clustering
- Bayesian Modeling
- Regularization
- Model Selection
- Machine Learning
- Variational Inference
- Bayesian Inference
- Big Data
- Gaussian Processes
- Sparse Regression
- Variable Selection
- Multiple Imputation
- Mixture Models
- Causal Inference
- Evolutionary Algorithms
- Multiobjective Optimization
- Statistical Analysis
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 21 words, with their numbers
- Bayesian Inference1502 topics
- Variational Inference1502 topics
- Big Data1312 topics
- Machine Learning1312 topics
- Gaussian Processes1081 topic
- Model Selection1082 topics
- Sparse Regression1081 topic
- Regularization841 topic
- Variable Selection841 topic
- Bayesian Modeling781 topic
- Multiple Imputation781 topic
- Clustering421 topic
- Mixture Models421 topic
- Bayesian Networks261 topic
- Causal Inference261 topic
- Bayesian Monte Carlo241 topic
- Evolutionary Algorithms241 topic
- Markov Chain241 topic
- Multiobjective Optimization241 topic
- R language231 topic
- Statistical Analysis231 topic
Where does Aki Vehtari work?
Aki Vehtari's main affiliation in the publication record is Aalto University, Finland.
How many publications and citations does Aki Vehtari have?
OpenAlex counts 392 works and 35,960 citations for Aki Vehtari, an h-index of 53, ranking #149,866 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.
Discussion
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