Frank Wilcoxon

28.9k citations
12 papers · 263 indexed · h-index 8
Topics
Advanced Statistical Methods and Models (5 papers)Statistical Methods in Clinical Trials (2 papers)Multi-Criteria Decision Making (2 papers)
Partner nations
United States

In The Last Decade

Frank Wilcoxon

11 papers receiving 237 citations

Peers

Frank Wilcoxon
Comparison fields: 5 of 106
  • Management Science and Operations Research 78
  • Statistics and Probability 77
  • Global and Planetary Change 47
  • Computational Theory and Mathematics 41
  • Statistics, Probability and Uncertainty 36
Replace William V. Harper with:
William V. Harper United States
Tetsuhisa Miwa Japan
Hans Nyquist Sweden
Yang Kang United States
Sri Nurdiati Indonesia
J.T. LITCHFIELD United States
Mohammed M. A. Almazah Saudi Arabia
Diego I. Gallardo Chile
F. Garwood United Kingdom
Paul Gilbert Canada
Frank Wilcoxon relative to William V. Harper United States William V. Harper's profile →
Citations per field
00.5×
William V. Harper · 1×
Citations per year

Countries citing papers authored by Frank Wilcoxon

Since Specialization
Citations

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

Fields of papers citing papers by Frank Wilcoxon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank Wilcoxon. 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 Frank Wilcoxon. The network helps show where Frank Wilcoxon may publish in the future.

Co-authorship network of co-authors of Frank Wilcoxon

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Wilcoxon. A scholar is included among the top collaborators of Frank Wilcoxon 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 Frank Wilcoxon. Frank Wilcoxon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 0
2 7
3 36
4 16
5 24
6 3
7 9
8 4
9 29
10
The importance of wetting agents as affecting the toxicity of certain insecticides.
2
11 115
12 18

About Frank Wilcoxon

Frank Wilcoxon is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 12 papers that have together received 263 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (5 papers), Statistical Methods in Clinical Trials (2 papers) and Multi-Criteria Decision Making (2 papers). The work is most often cited by research in Statistics and Probability (77 citations), Management Science and Operations Research (78 citations) and Statistics, Probability and Uncertainty (36 citations). Frank Wilcoxon has collaborated with scholars based in United States. Frequent co-authors include J.T. LITCHFIELD, Cuthbert Daniel, Ralph A. Bradley, Lora Rhodes and Donald C. Martin. Their work appears in journals such as Analytical Chemistry, Technometrics 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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