Tom Leonard
Tom Leonard publishes mostly in Statistics and Probability, Artificial Intelligence and Atmospheric Science, on topics such as Statistical Methods and Bayesian Inference, Advanced Statistical Methods and Models and Statistical Methods and Inference.
- World rank
- #886,551 of 7,710,434 ranked researchers
- Rank in United States
- #292,938 of 1,627,098
- Works
- 107
- Citations
- 4.2k
- Citations per work
- 39.5
What does Tom Leonard research?
Tom Leonard's work is mostly in Mathematics (30%), Computer Science (11%), Earth and Planetary 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 Sciences5652.2%
- Mathematics3229.6%
- Computer Science1110.7%
- Earth and Planetary Sciences76.3%
- Engineering65.6%
- Everything else4844.5%
- Social Sciences43.3%
- Decision Sciences43.3%
- 1Statistics and Probability30% of their works
- 2Artificial Intelligence11% of their works
- 3Atmospheric Science6% of their works
- 4Statistics, Probability and Uncertainty3% of their works
- 5Control and Systems Engineering3% of their works
- 6Aerospace Engineering3% of their works
Research topics
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
- Statistical Methods and Inference
- Bayesian Methods and Mixture Models
- Cryospheric studies and observations
- Statistical Distribution Estimation and Applications
- Bayesian Modeling and Causal Inference
- Advanced Statistical Process Monitoring
Which keywords describe Tom Leonard's research?
The keywords of their largest research topics: Bayesian Modeling, Multiple Imputation, Bayesian Inference, Multicollinearity, Regression Analysis, Regularization, Variable Selection and Clustering.
- Healthcare Improvement
- Bayesian Networks
- Glacier
- Climate Change
- Clustering
- Regularization
- Multicollinearity
- Multiple Imputation
- Bayesian Modeling
- Bayesian Inference
- Regression Analysis
- Variable Selection
- Mixture Models
- Generalized Exponential
- Skew Distributions
- Causal Inference
- Statistical Process Control
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 17 words, with their numbers
- Bayesian Modeling291 topic
- Multiple Imputation291 topic
- Bayesian Inference202 topics
- Multicollinearity181 topic
- Regression Analysis181 topic
- Regularization161 topic
- Variable Selection161 topic
- Clustering121 topic
- Mixture Models121 topic
- Climate Change81 topic
- Generalized Exponential81 topic
- Glacier81 topic
- Skew Distributions81 topic
- Bayesian Networks71 topic
- Causal Inference71 topic
- Healthcare Improvement61 topic
- Statistical Process Control61 topic
Where does Tom Leonard work?
Tom Leonard's main affiliation in the publication record is University of Wisconsin–Madison, United States.
How many publications and citations does Tom Leonard have?
OpenAlex counts 107 works and 4,228 citations for Tom Leonard, an h-index of 27, ranking #886,551 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.
Other researchers named Tom Leonard
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