Tom Leonard

4.2k citations
73 papers · 2.9k · 1 hit paper · h-index 23

Impact in

Papers in

    • Statistical Methods and Bayesian Inference 21
    • Advanced Statistical Methods and Models 13
    • Statistical Methods and Inference 10
    • Statistical Distribution Estimation and Applications 7
    • Bayesian Methods and Mixture Models 6

Tom Leonard

68 papers receiving 2.7k citations

Tom Leonard's Hit Papers

Bayes and Empirical Bayes Methods for Data Analysis. 1997 · 657 citations
6570+9+19Years since publication200400600

Peers

Tom Leonard
Comparison fields: 5 of 192
  • Statistics and Probability 1.1k
  • Statistics, Probability and Uncertainty 231
  • Management Science and Operations Research 330
  • Artificial Intelligence 624
  • General Decision Sciences 25
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Tom Leonard relative to George Casella United States George Casella's profile →
Citations per field
00.5×10×20×32×
George Casella · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Tom Leonard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tom Leonard Line = papers co-authored together Tom Leonard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Bayes and Empirical Bayes Methods for Data Analysis.
Hit paper breakdown →
1997657
2 1976200
3 1989191
4
A two-item conjoint screen for alcohol and other drug problems.
2001157
5 1996137
6 1998134
7 1978121
8 1992107
9 1992100
10 199898
11 199781
12 199977
13 197574
14 199764
15
A two-item screening test for alcohol and other drug problems.
199762
16 198939
17 197533
18 197733
19 200030
20 198230

About Tom Leonard

Tom Leonard is a scholar working on Statistics and Probability, Artificial Intelligence, Atmospheric Science, Statistics, Probability and Uncertainty and Management, Monitoring, Policy and Law, having authored 73 papers that have together received 2.9k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (21 papers), Advanced Statistical Methods and Models (13 papers), Statistical Methods and Inference (10 papers), Statistical Distribution Estimation and Applications (7 papers), Bayesian Methods and Mixture Models (6 papers), Cryospheric studies and observations (6 papers), Landslides and related hazards (5 papers) and Advanced Statistical Process Monitoring (5 papers). The work is most often cited by research in Statistics and Probability (1.1k citations), Statistics, Probability and Uncertainty (231 citations), Management Science and Operations Research (330 citations), Artificial Intelligence (624 citations) and General Decision Sciences (25 citations). Tom Leonard has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Thomas A. Louis, Orestis Papasouliotis, Anthony O’Hagan, Laura A. Saunders, J.S. Hsu, Kam‐Wah Tsui, Richard L. Brown, Jürgen Pilz, Frank Lad and A. P. Dawid. Their work appears in journals such as Journal of the American Statistical Association, Biometrika, Biometrics, Journal of the Royal Statistical Society Series B (Statistical Methodology) and Psychometrika.

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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