Tom Leonard

4.2k total citations · 1 hit paper
73 papers, 2.9k citations indexed

About

Tom Leonard is a scholar working on Statistics and Probability, Artificial Intelligence and Atmospheric Science. According to data from OpenAlex, Tom Leonard has authored 73 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Statistics and Probability, 13 papers in Artificial Intelligence and 9 papers in Atmospheric Science. Recurrent topics in Tom Leonard's work include Statistical Methods and Bayesian Inference (21 papers), Advanced Statistical Methods and Models (13 papers) and Statistical Methods and Inference (10 papers). Tom Leonard is often cited by papers focused on Statistical Methods and Bayesian Inference (21 papers), Advanced Statistical Methods and Models (13 papers) and Statistical Methods and Inference (10 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, Laura A. Saunders, J.S. Hsu, Kam‐Wah Tsui, Richard L. Brown, Jürgen Pilz and Frank Lad and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Geophysical Research Letters.

In The Last Decade

Tom Leonard

68 papers receiving 2.7k citations

Hit Papers

Bayes and Empirical Bayes Methods for Data Analysis. 1997 2026 2006 2016 1997 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Bayes and Empirical Bayes Methods for Data Analysis.
    1997 656 citations Tom Leonard et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tom Leonard United Kingdom 23 1.1k 626 332 311 234 73 2.9k
Mary Kathryn Cowles United States 22 1.0k 1.0× 653 1.0× 208 0.6× 344 1.1× 176 0.8× 45 3.3k
Karen Kafadar United States 25 915 0.9× 604 1.0× 255 0.8× 405 1.3× 390 1.7× 118 4.4k
Robert J. Beaver United States 19 1.1k 1.0× 409 0.7× 462 1.4× 297 1.0× 369 1.6× 50 4.4k
Ronald Christensen United States 29 1.5k 1.4× 712 1.1× 559 1.7× 445 1.4× 287 1.2× 128 4.5k
George Casella United States 3 992 0.9× 638 1.0× 392 1.2× 328 1.1× 428 1.8× 4 3.9k
A. N. Pettitt Australia 36 1.7k 1.6× 1.0k 1.7× 504 1.5× 392 1.3× 496 2.1× 150 7.6k
John Hinde Ireland 25 1.1k 1.0× 528 0.8× 214 0.6× 354 1.1× 118 0.5× 68 3.8k
B. S. Everitt United Kingdom 17 714 0.7× 706 1.1× 238 0.7× 173 0.6× 529 2.3× 23 2.9k
Brian D. Marx United States 29 1.7k 1.6× 531 0.8× 231 0.7× 473 1.5× 214 0.9× 82 5.2k
David Cox United Kingdom 14 1.2k 1.1× 344 0.5× 267 0.8× 224 0.7× 298 1.3× 30 3.2k

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).

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.

Co-authorship network of co-authors of Tom Leonard

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Leonard. A scholar is included among the top collaborators of Tom Leonard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tom Leonard. Tom Leonard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Leonard, Tom, et al.. (2025). Multiscale high-throughput screening of ionic liquid solvents for mixed-refrigerant separation. Computers & Chemical Engineering. 199. 109138–109138. 2 indexed citations
2.
Leonard, Tom, et al.. (2024). Integrating different fidelity models for process optimization: A case of equilibrium and rate-based extractive distillation using ionic liquids. Computers & Chemical Engineering. 192. 108890–108890. 5 indexed citations
3.
Hendrikx, Jordy, et al.. (2012). EXAMINING THE DRIVERS THAT CONTROL THE SPATIAL VARIABILITY OF SURFACE HOAR AND NEAR-SURFACE FACETS. 1005–1010.
4.
Leonard, Tom, et al.. (2011). 94-GHz Tarsier radar measurements of wind waves and small targets. European Radar Conference. 73–76. 15 indexed citations
5.
Adams, Edward, et al.. (2009). Modeling Variation of Surface Hoar and Radiation Recrystallization Across a Slope. 97–101. 5 indexed citations
6.
Slaughter, Andrew E., et al.. (2008). Laboratory Simulations of Radiation-Recrystallization Events in Southwest Montana. 139. 5 indexed citations
7.
Delcenserie, Véronique, et al.. (2004). Discrimination between Bifidobacterium Species from Human and Animal Origin by PCR–Restriction Fragment Length Polymorphism. Journal of Food Protection. 67(6). 1284–1288. 14 indexed citations
8.
Orr, Mark J. L., et al.. (2000). COMBINING REGRESSION TREES AND RADIAL BASIS FUNCTION NETWORKS. International Journal of Neural Systems. 10(6). 453–465. 30 indexed citations
9.
Leonard, Tom, et al.. (1998). The Prevalence and Detection of Substance Use Disorders among Inpatients Ages 18 to 49: An Opportunity for Prevention. Preventive Medicine. 27(1). 101–110. 97 indexed citations
10.
Leonard, Robert, et al.. (1997). Tamoxifen toleration and toxicity. Endocrine Related Cancer. 4(3). 245–249. 1 indexed citations
11.
Aitken, Colin, Johan Bring, Tom Leonard, & Orestis Papasouliotis. (1997). Estimation of Quantities of Drugs Handled and the Burden of Proof. Journal of the Royal Statistical Society Series A (Statistics in Society). 160(2). 333–350. 8 indexed citations
12.
Cameron, David, et al.. (1996). A pilot study of infusional CMF (CMF-inf): Active and well tolerated in breast cancer. Annals of Oncology. 7(4). 409–411. 3 indexed citations
13.
Kim, Seock‐Ho, Allan S. Cohen, Frank B. Baker, Michael J. Subkoviak, & Tom Leonard. (1994). An Investigation of Hierarchical Bayes Procedures in Item Response Theory. Psychometrika. 59(3). 405–421. 20 indexed citations
14.
Leonard, Tom, J.S. Hsu, & Kam‐Wah Tsui. (1989). Bayesian Marginal Inference. Journal of the American Statistical Association. 84(408). 1051–1058. 39 indexed citations
15.
Leonard, Tom, R. A. Tapia, & James R. Thompson. (1981). Non-Parametric Probability Density Estimation.. Journal of the Royal Statistical Society Series D (The Statistician). 30(4). 309–309. 19 indexed citations
16.
Leonard, Tom. (1980). The roles of inductive modelling and coherence in Bayesian statistics. Trabajos de Estadistica y de Investigacion Operativa. 31(1). 537–555.
17.
Leonard, Tom. (1977). Bayesiam simultaneous estimation for several multinomial distributions. Communication in Statistics- Theory and Methods. 6(7). 619–630. 19 indexed citations
18.
Leonard, Tom. (1976). Some Alternative Approaches to Multiparameter Estimation. Biometrika. 63(1). 69–69. 1 indexed citations
19.
Leonard, Tom. (1974). A modification to the Bayes estimate for the mean of a normal distribution. Biometrika. 61(3). 627–628. 4 indexed citations
20.
Leonard, Tom. (1973). A Bayesian Method for Historgrams. Biometrika. 60(2). 297–297. 3 indexed citations

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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