John D. Cook

1.1k citations
25 papers · 752 · h-index 14

Impact in

Papers in

John D. Cook

25 papers receiving 721 citations

Peers

John D. Cook
Comparison fields: 5 of 105
  • Statistics and Probability 451
  • Management Science and Operations Research 260
  • Cancer Research 88
  • Hematology 56
  • Economics and Econometrics 131
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Citations per year

Countries citing papers authored by John D. Cook

Since Specialization
Citations

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

Fields of papers citing papers by John D. Cook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John D. Cook. 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 John D. Cook. The network helps show where John D. Cook may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004327
2 201366
3 200737
4 200637
5 200631
6 200729
7 200929
8 198829
9 200324
10 200824
11 200923
12 197922
13 199617
14 200814
15
Exact Calculation of Beta Inequalities
200613
16 20177
17 20066
18
Skeptical and Optimistic Robust Priors for Clinical Trials
20114
19 19973
20
Power and Bias in Adaptively Randomized Clinical Trials Technical Report UTMDABTR-002-06
20063

About John D. Cook

John D. Cook is a scholar working on Statistics and Probability, Management Science and Operations Research, Economics and Econometrics, Molecular Biology and Statistics, Probability and Uncertainty, having authored 25 papers that have together received 752 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (13 papers), Advanced Causal Inference Techniques (5 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Optimal Experimental Design Methods (4 papers), Statistical Methods and Bayesian Inference (3 papers), Advanced Statistical Process Monitoring (2 papers), Advanced Bandit Algorithms Research (2 papers) and Statistical Methods and Inference (2 papers). The work is most often cited by research in Statistics and Probability (451 citations), Management Science and Operations Research (260 citations), Cancer Research (88 citations), Hematology (56 citations) and Economics and Econometrics (131 citations). John D. Cook has collaborated with scholars based in United States, Puerto Rico and Canada. Frequent co-authors include Peter F. Thall, Elihu H. Estey, Valen E. Johnson, Robert W. Thompson, Luis R. Pericchi, J. Kyle Wathen, Howard B. Latourette, Hui Cheng, Bruce A. Smith and William L. McGinnis. Their work appears in journals such as Journal of Biopharmaceutical Statistics, Statistics in Medicine, Cancer, Clinical Cancer Research and JNCI Journal of the National Cancer Institute.

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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