R. L. Prentice

2.8k citations
33 papers · 1.7k · h-index 16

Impact in

Papers in

    • Statistical Methods and Bayesian Inference 7
    • Statistical Methods and Inference 7
    • Statistical Distribution Estimation and Applications 6
    • Advanced Causal Inference Techniques 4
    • Advanced Statistical Methods and Models 4
    • Statistical Methods in Clinical Trials 3
    • Cancer Risks and Factors 4

R. L. Prentice

32 papers receiving 1.6k citations

Peers

R. L. Prentice
Comparison fields: 5 of 140
  • Statistics and Probability 822
  • Public Health, Environmental and Occupational Health 290
  • Statistics, Probability and Uncertainty 66
  • Oncology 193
  • Management Science and Operations Research 86
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Citations per field
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Citations per year

Countries citing papers authored by R. L. Prentice

Since Specialization
Citations

This map shows the geographic impact of R. L. Prentice'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 R. L. Prentice with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. L. Prentice more than expected).

Fields of papers citing papers by R. L. Prentice

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. L. Prentice. 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 R. L. Prentice. The network helps show where R. L. Prentice may publish in the future.

Co-authors

The 25 scholars most cited alongside R. L. Prentice, 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 R. L. Prentice Line = papers co-authored together R. L. Prentice links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991360
2 1992170
3 1973156
4 1990147
5 1996141
6 1997123
7 1994120
8 200975
9
Radiation exposure and thyroid cancer incidence among Hiroshima and Nagasaki residents.
198257
10 198655
11 198647
12 199142
13 198035
14 199333
15 197833
16 200032
17 198214
18 200013
19 201010
20 19739

About R. L. Prentice

R. L. Prentice is a scholar working on Statistics and Probability, Oncology, Public Health, Environmental and Occupational Health, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 33 papers that have together received 1.7k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (7 papers), Statistical Methods and Inference (7 papers), Statistical Distribution Estimation and Applications (6 papers), Advanced Causal Inference Techniques (4 papers), Nutritional Studies and Diet (4 papers), Cancer Risks and Factors (4 papers), Advanced Statistical Methods and Models (4 papers) and Statistical Methods in Clinical Trials (3 papers). The work is most often cited by research in Statistics and Probability (822 citations), Public Health, Environmental and Occupational Health (290 citations), Statistics, Probability and Uncertainty (66 citations), Oncology (193 citations) and Management Science and Operations Research (86 citations). R. L. Prentice has collaborated with scholars based in United States, South Africa and Australia. Frequent co-authors include Lue Ping Zhao, Jianwen Cai, Ziding Feng, C. Y. Wang, Li Hsu, Margaret S. Pepe, Thomas R. Fleming, David V. Glidden, S. L. Gorbach and David M. Thompson. Their work appears in journals such as Biometrika, JNCI Journal of the National Cancer Institute, Statistics in Medicine, Journal of the American Statistical Association and Biometrics.

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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