Question 1

What does Tom Leonard research?

Accepted Answer

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.

Question 2

Which keywords describe Tom Leonard's research?

Accepted Answer

The keywords of their largest research topics: Bayesian Modeling, Multiple Imputation, Bayesian Inference, Multicollinearity, Regression Analysis, Regularization, Variable Selection and Clustering.

Question 3

Where does Tom Leonard work?

Accepted Answer

Tom Leonard's main affiliation in the publication record is University of Wisconsin–Madison, United States.

Question 4

How many publications and citations does Tom Leonard have?

Accepted Answer

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.

Question 5

Is Tom Leonard's h-index high?

Accepted Answer

An h-index of 27 is at or above that of 88% of the 14,819 ranked researchers whose main subfield is Statistics and Probability, which is in the top 13%.