John H. Skillings
- Statistics and Probability top 2%
- Health, Toxicology and Mutagenesis top 10%
- Management Science and Operations Research top 5%
- Ecology
- Pollution top 10%
- Co-authors
- Gregory A. MackRobert W. WinnerGregory CampbellDouglas A. WolfeDennis L. ClaussenRandall BruinsDavid J. GroggelMichael A. Romano
- Topics
- Optimal Experimental Design Methods (15 papers)Statistical Methods in Clinical Trials (14 papers)Statistical Methods and Bayesian Inference (4 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchHealth, Toxicology and Mutagenesis
- Partner nations
- United States
In The Last Decade
John H. Skillings
27 papers receiving 619 citations
Peers
Comparison fields: 5 of 167
- Statistics and Probability 149
- Health, Toxicology and Mutagenesis 130
- Management Science and Operations Research 117
- Ecology 86
- Pollution 67
Countries citing papers authored by John H. Skillings
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 13 | |
| 4 | 6 | |
| 5 | 56 | |
| 6 | 77 | |
| 7 | 8 | |
| 8 | 6 | |
| 9 | 57 | |
| 10 | 138 | |
| 11 | 12 | |
| 12 | 17 | |
| 13 | 2 | |
| 14 | 20 | |
| 15 | 109 | |
| 16 | 6 | |
| 17 | 3 | |
| 18 | 22 | |
| 19 | 12 | |
| 20 | Distribution-free tests for ordered alternatives in block designs | 2 |
About John H. Skillings
John H. Skillings is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 29 papers that have together received 683 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (15 papers), Statistical Methods in Clinical Trials (14 papers) and Statistical Methods and Bayesian Inference (4 papers). The work is most often cited by research in Statistics and Probability (149 citations), Management Science and Operations Research (117 citations) and Health, Toxicology and Mutagenesis (130 citations). John H. Skillings has collaborated with scholars based in United States. Frequent 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. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and The American Naturalist.
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.