John H. Skillings

953 total citations
29 papers, 683 citations indexed

About

John H. Skillings is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty. According to data from OpenAlex, John H. Skillings has authored 29 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistics and Probability, 15 papers in Management Science and Operations Research and 5 papers in Statistics, Probability and Uncertainty. Recurrent topics in John H. Skillings's work include Optimal Experimental Design Methods (15 papers), Statistical Methods in Clinical Trials (14 papers) and Statistical Methods and Bayesian Inference (4 papers). John H. Skillings is often cited by papers focused on Optimal Experimental Design Methods (15 papers), Statistical Methods in Clinical Trials (14 papers) and Statistical Methods and Bayesian Inference (4 papers). John H. Skillings collaborates with scholars based in United States. John H. Skillings's co-authors include Gregory A. Mack, Robert W. Winner, Gregory Campbell, Douglas A. Wolfe, Dennis L. Claussen, Randall Bruins, David J. Groggel, Michael A. Romano, Sheldon I. Guttman and Douglas E. Critchlow and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and The American Naturalist.

In The Last Decade

John H. Skillings

27 papers receiving 619 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John H. Skillings United States 13 149 130 117 86 67 29 683
Arnold L. van den Wollenberg Netherlands 8 195 1.3× 31 0.2× 203 1.7× 165 1.9× 22 0.3× 9 902
Solomon W. Harrar United States 16 289 1.9× 99 0.8× 121 1.0× 62 0.7× 44 0.7× 52 907
L. N. Balaam Australia 9 115 0.8× 19 0.1× 77 0.7× 43 0.5× 30 0.4× 25 842
José A. Vilar Spain 18 66 0.4× 34 0.3× 56 0.5× 112 1.3× 81 1.2× 56 1.0k
S. G. Carmer United States 17 139 0.9× 27 0.2× 83 0.7× 169 2.0× 112 1.7× 57 1.8k
Donald R. Porter United States 9 66 0.4× 15 0.1× 45 0.4× 118 1.4× 13 0.2× 13 900
Jérôme Saracco France 18 302 2.0× 44 0.3× 49 0.4× 51 0.6× 9 0.1× 74 959
Natalya Pya Kazakhstan 5 105 0.7× 35 0.3× 20 0.2× 118 1.4× 14 0.2× 8 611
Fernanda De Bastiani Brazil 11 191 1.3× 21 0.2× 57 0.5× 83 1.0× 9 0.1× 34 798
Steffen Möritz Germany 3 29 0.2× 48 0.4× 41 0.4× 80 0.9× 13 0.2× 4 628

Countries citing papers authored by John H. Skillings

Since Specialization
Citations

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

Fields of papers citing papers by John H. Skillings

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John H. Skillings

This figure shows the co-authorship network connecting the top 25 collaborators of John H. Skillings. A scholar is included among the top collaborators of John H. Skillings 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 John H. Skillings. John H. Skillings 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
1.
Groggel, David J., Robert L. Schaefer, & John H. Skillings. (1987). Procedures for analyzing block designs with censored data. Communication in Statistics- Theory and Methods. 16(2). 431–444.
2.
Groggel, David J., Robert L. Schaefer, & John H. Skillings. (1987). The effect of withdrawal censoring on two-sample tests. Journal of Statistical Computation and Simulation. 28(4). 275–302.
3.
Groggel, David J. & John H. Skillings. (1986). Distribution-Free Tests for Main Effects in Multifactor Designs. The American Statistician. 40(2). 99–102. 13 indexed citations
4.
Groggel, David J. & John H. Skillings. (1986). Distribution-Free Tests for Main Effects in Multifactor Designs. The American Statistician. 40(2). 99–99. 6 indexed citations
5.
Campbell, Gregory & John H. Skillings. (1985). Nonparametric Stepwise Multiple Comparison Procedures. Journal of the American Statistical Association. 80(392). 998–1003. 56 indexed citations
6.
Winner, Robert W., et al.. (1985). Acute toxicity of copper to three life stages of Chironomus tentans as affected by water hardness-alkalinity. Environmental Pollution Series A Ecological and Biological. 37(2). 149–157. 77 indexed citations
7.
Skillings, John H.. (1983). Nonparametric approaches to testing and multiple comparisons in a one-way anova. Communications in Statistics - Simulation and Computation. 12(4). 373–387. 8 indexed citations
8.
Skillings, John H., et al.. (1983). Distribution-Free Statistical Methods. Technometrics. 25(2). 208–208. 6 indexed citations
9.
Bruins, Randall, et al.. (1982). Filtration and phototactic behavior as indices of chronic copper stress inDaphnia magna straus. Archives of Environmental Contamination and Toxicology. 11(4). 457–463. 57 indexed citations
10.
Skillings, John H. & Gregory A. Mack. (1981). On the Use of a Friedman-Type Statistic in Balanced and Unbalanced Block Designs. Technometrics. 23(2). 171–177. 138 indexed citations
11.
Davis, Thomas Seth, et al.. (1981). Uptake of polychlorobiphenyls present in trace amounts from dried municipal sewage sludge through an old field ecosystem. Bulletin of Environmental Contamination and Toxicology. 27-27(1). 689–694. 12 indexed citations
12.
Skillings, John H. & Gregory A. Mack. (1981). On the Use of a Friedman-Type Statistic in Balanced and Unbalanced Block Designs. Technometrics. 23(2). 171–171. 17 indexed citations
13.
Skillings, John H.. (1980). On the Null Distribution of Jonckheere's Statistic Used in Two-Way Models for Ordered Alternatives. Technometrics. 22(3). 431–431. 2 indexed citations
14.
Mack, Gregory A. & John H. Skillings. (1980). A Friedman-Type Rank Test for Main Effects in a Two-Factor ANOVA. Journal of the American Statistical Association. 75(372). 947–947. 20 indexed citations
15.
Mack, Gregory A. & John H. Skillings. (1980). A Friedman-Type Rank Test for Main Effects in a Two-Factor ANOVA. Journal of the American Statistical Association. 75(372). 947–951. 109 indexed citations
16.
Skillings, John H.. (1980). On the Null Distribution of Jonckheere's Statistic Used in Two-Way Models for Ordered Alternatives. Technometrics. 22(3). 431–436. 6 indexed citations
17.
Skillings, John H.. (1978). Adaptively combining independent jonckheere statistics in a randomized block design with unequal scales. Communication in Statistics- Theory and Methods. 7(11). 1027–1039. 3 indexed citations
18.
Skillings, John H. & Douglas A. Wolfe. (1978). Distribution-Free Tests for Ordered Alternatives in a Randomized Block Design. Journal of the American Statistical Association. 73(362). 427–431. 22 indexed citations
19.
Skillings, John H. & Douglas A. Wolfe. (1977). Testing for ordered alternatives by combining independent distribution-free block statistics. Communication in Statistics- Theory and Methods. 6(15). 1453–1463. 12 indexed citations
20.
Skillings, John H.. (1975). Distribution-free tests for ordered alternatives in block designs. OhioLink ETD Center (Ohio Library and Information Network). 2 indexed citations

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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