Tom Leonard

65 papers and 2.7k indexed citations i.

About

Tom Leonard is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Tom Leonard has authored 65 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Statistics and Probability, 14 papers in Artificial Intelligence and 7 papers in Statistics, Probability and Uncertainty. Recurrent topics in Tom Leonard’s work include Statistical Methods and Bayesian Inference (22 papers), Advanced Statistical Methods and Models (14 papers) and Statistical Methods and Inference (11 papers). Tom Leonard is often cited by papers focused on Statistical Methods and Bayesian Inference (22 papers), Advanced Statistical Methods and Models (14 papers) and Statistical Methods and Inference (11 papers). Tom Leonard collaborates with scholars based in United Kingdom, United States and Canada. Tom Leonard's co-authors include Thomas A. Louis, Orestis Papasouliotis, Anthony O’Hagan, John A. Rice, J.S. Hsu, Laura A. Saunders, Kam‐Wah Tsui, Richard L. Brown, Jürgen Pilz and Frank Lad and has published in prestigious journals such as The Journal of Chemical Physics, Journal of the American Statistical Association and Technometrics.

In The Last Decade

Co-authorship network of co-authors of Tom Leonard i

Fields of papers citing papers by Tom Leonard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom Leonard. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tom Leonard. The network helps show where Tom Leonard may publish in the future.

Countries citing papers authored by Tom Leonard

Since Specialization
Citations

This map shows the geographic impact of Tom Leonard's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tom Leonard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Leonard more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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