Thomas E. Bradstreet

1.3k citations
37 papers · 1.1k · h-index 14

Impact in

Papers in

    • Statistics Education and Methodologies 9
    • Statistical Methods in Clinical Trials 4
    • Statistical Methods and Bayesian Inference 3
    • Nausea and vomiting management 4

Thomas E. Bradstreet

36 papers receiving 1.0k citations

Peers

Thomas E. Bradstreet
Comparison fields: 5 of 149
  • Statistics and Probability 173
  • Cardiology and Cardiovascular Medicine 246
  • Endocrinology, Diabetes and Metabolism 123
  • Pharmaceutical Science 45
  • Pharmacology 60
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Citations per year

Countries citing papers authored by Thomas E. Bradstreet

Since Specialization
Citations

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

Fields of papers citing papers by Thomas E. Bradstreet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas E. Bradstreet. 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 Thomas E. Bradstreet. The network helps show where Thomas E. Bradstreet may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004164
2 1993123
3 1995114
4 199694
5 200493
6 200889
7 200685
8 202169
9 201038
10 199135
11 199635
12 199133
13 199523
14 200523
15 200013
16 199711
17 200611
18 20129
19 19969
20 19936

About Thomas E. Bradstreet

Thomas E. Bradstreet is a scholar working on Statistics and Probability, Surgery, Computer Vision and Pattern Recognition, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Statistics Education and Methodologies (9 papers), Nausea and vomiting management (4 papers), Data Visualization and Analytics (4 papers), Statistical Methods in Clinical Trials (4 papers), Computational Drug Discovery Methods (3 papers), Statistical Methods and Bayesian Inference (3 papers), Optimal Experimental Design Methods (3 papers) and Blood Pressure and Hypertension Studies (2 papers). The work is most often cited by research in Statistics and Probability (173 citations), Cardiology and Cardiovascular Medicine (246 citations), Endocrinology, Diabetes and Metabolism (123 citations), Pharmaceutical Science (45 citations) and Pharmacology (60 citations). Thomas E. Bradstreet has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Michael R. Goldberg, Kevin J. Petty, Anup Majumdar, Wesley Tanaka, Cynthia Gargano, Ming Lo, Robert A. Blum, M.L. Constanzer, T D Bjornsson and Jacqueline B. McCrea. Their work appears in journals such as The American Statistician, Pharmaceutical Statistics, Journal of Magnetic Resonance Imaging, Hypertension and Journal of the American Statistical Association.

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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