Thomas E. Bradstreet

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

Impact in

Papers in

    • Statistics Education and Methodologies 9
    • Statistical Methods in Clinical Trials 3
    • Statistical Methods and Bayesian Inference 2
    • Nausea and vomiting management 4

Thomas E. Bradstreet

31 papers receiving 999 citations

Peers

Thomas E. Bradstreet
Comparison fields: 5 of 149
  • Statistics and Probability 165
  • Cardiology and Cardiovascular Medicine 232
  • Endocrinology, Diabetes and Metabolism 117
  • Pharmaceutical Science 45
  • Pharmacology 58
Replace Richard Anziano with:
Richard Anziano United States
Dieter Hauschke Germany
Sandra A. G. Visser United States
JA Wagner United States
Tomas Salmonson Sweden
Adam S. Darwich United Kingdom
Jennifer Ng United States
Gordon Pledger United States
Rebekka Sterchi Switzerland
Richard Peck United Kingdom
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Citations per field
00.5×3.3×
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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 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004152
2 1993118
3 1995110
4 199694
5 200489
6 200685
7 200878
8 202169
9 201035
10 199635
11 199132
12 199132
13 200523
14 199522
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, Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition and Small Animals, having authored 34 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 (3 papers), Statistical Methods in Clinical Trials (3 papers), Blood Pressure and Hypertension Studies (2 papers), Heart Failure Treatment and Management (2 papers), Computational Drug Discovery Methods (2 papers) and Statistical Methods and Bayesian Inference (2 papers). The work is most often cited by research in Statistics and Probability (165 citations), Cardiology and Cardiovascular Medicine (232 citations), Endocrinology, Diabetes and Metabolism (117 citations), Pharmaceutical Science (45 citations) and Pharmacology (58 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, Ming Lo, Cynthia Gargano, Robert A. Blum, M.L. Constanzer, Aaron Barchowsky and T D Bjornsson. Their work appears in journals such as The American Statistician, Pharmaceutical Statistics, Hypertension, Journal of Magnetic Resonance Imaging 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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