Roy R. Kuebler

2.1k citations
6 papers · 1.5k indexed · 1 hit paper · h-index 6
Topics
Survey Sampling and Estimation Techniques (3 papers)Meta-analysis and systematic reviews (1 paper)Statistical Methods in Clinical Trials (1 paper)
Partner nations
United States

In The Last Decade

Roy R. Kuebler

6 papers receiving 1.3k citations

Hit Papers

The Importance of Beta, the Type II Error and Sample Size...197820261994201019782505007501000

Peers

Roy R. Kuebler
Comparison fields: 5 of 166
  • Statistics and Probability 478
  • Statistics, Probability and Uncertainty 313
  • Economics and Econometrics 226
  • Surgery 154
  • Public Health, Environmental and Occupational Health 147
Replace John D. Emerson with:
John D. Emerson United States
Byron Wm. Brown United States
Jonathan P. Myles United Kingdom
Jayne Berrier United States
Bucknam McPeek United States
Vance W. Berger United States
Dinah Reitman United States
Gernot Wassmer Germany
Kristan A. L'Abbé Canada
Christopher Bartlett United Kingdom
Roy R. Kuebler relative to John D. Emerson United States John D. Emerson's profile →
Citations per field
00.5×2.7×
John D. Emerson · 1×
Citations per year

Countries citing papers authored by Roy R. Kuebler

Since Specialization
Citations

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

Fields of papers citing papers by Roy R. Kuebler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roy R. Kuebler

This figure shows the co-authorship network connecting the top 25 collaborators of Roy R. Kuebler. A scholar is included among the top collaborators of Roy R. Kuebler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Roy R. Kuebler. Roy R. Kuebler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 6
2 48
3
The Importance of Beta, the Type II Error and Sample Size in the Design and Interpretation of the Randomized Control Trialbreakdown →
1163
4 24
5 224
6 24

About Roy R. Kuebler

Roy R. Kuebler is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Economics and Econometrics, having authored 6 papers that have together received 1.5k indexed citations. Recurring topics across this work include Survey Sampling and Estimation Techniques (3 papers), Meta-analysis and systematic reviews (1 paper) and Statistical Methods in Clinical Trials (1 paper). The work is most often cited by research in Statistics and Probability (478 citations), Statistics, Probability and Uncertainty (313 citations) and Economics and Econometrics (226 citations). Roy R. Kuebler has collaborated with scholars based in United States. Frequent co-authors include Thomas C. Chalmers, Harry Smith, Bernard Greenberg, Daniel G. Horvitz, James R. Abernathy, David G. Kleinbaum and Harry Smith. Their work appears in journals such as New England Journal of Medicine, Journal of the American Statistical Association and The American Statistician.

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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