Eugene S. Edgington

4.2k total citations · 1 hit paper
65 papers, 3.2k citations indexed

About

Eugene S. Edgington is a scholar working on Statistics and Probability, Management Science and Operations Research and Developmental and Educational Psychology. According to data from OpenAlex, Eugene S. Edgington has authored 65 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistics and Probability, 11 papers in Management Science and Operations Research and 6 papers in Developmental and Educational Psychology. Recurrent topics in Eugene S. Edgington's work include Optimal Experimental Design Methods (10 papers), Statistical Methods in Clinical Trials (9 papers) and Advanced Statistical Methods and Models (7 papers). Eugene S. Edgington is often cited by papers focused on Optimal Experimental Design Methods (10 papers), Statistical Methods in Clinical Trials (9 papers) and Advanced Statistical Methods and Models (7 papers). Eugene S. Edgington collaborates with scholars based in Canada, United States and Belgium. Eugene S. Edgington's co-authors include Patrick Onghena, L. R. Linton, Ronald W. Davies, Brian H. Bland, William F. J. Parsons, Bonnie J. Kaplan, Jane E. Raymond, Oscar Kempthorne, Stephen G. Sápp and Bert F. Green and has published in prestigious journals such as Psychological Bulletin, Journal of the American Statistical Association and American Psychologist.

In The Last Decade

Eugene S. Edgington

60 papers receiving 2.8k citations

Hit Papers

Randomization Tests 1964 2026 1984 2005 1964 500 1000 1.5k

Peers

Eugene S. Edgington
Comparison fields: 5 of 202
  • Statistics and Probability 729
  • Developmental and Educational Psychology 663
  • Cognitive Neuroscience 613
  • Management Science and Operations Research 450
  • Social Psychology 231
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Citations per field, relative to Eugene S. Edgington
Eugene S. Edgington · 1×
Citations per year, relative to Eugene S. Edgington
Eugene S. Edgington · 1×

Countries citing papers authored by Eugene S. Edgington

Since Specialization
Citations

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

Fields of papers citing papers by Eugene S. Edgington

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eugene S. Edgington. 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 Eugene S. Edgington. The network helps show where Eugene S. Edgington may publish in the future.

Co-authorship network of co-authors of Eugene S. Edgington

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 139
3 68
4 71
5 9
6 2
7 2
8
Nonparametric tests for single-subject multiple schedule experiments.
18
9 2
10 5
11 45
12 177
13 1
14
Statistical inference : the distribution-free approach
69
15 129
16 63
17 21
18 1
19 15
20 1

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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