John H. Sheesley
Impact in
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- Advanced Statistical Process Monitoring
- Probabilistic and Robust Engineering Design
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- Manufacturing Process and Optimization
Papers in
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- Advanced Statistical Process Monitoring 6
- Scientific Measurement and Uncertainty Evaluation 2
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- Manufacturing Process and Optimization 2
- Co-authors
- Genichi Taguchi (1 shared paper)Tom Hsiang (1 shared paper)Peter R. Nelson (1 shared paper)Edward G. Schilling (2 shared papers)Henry Schultz (1 shared paper)
- Journals
- Journal of Quality Technology (9 papers)Technometrics (2 papers)Quality Engineering (1 paper)Plant/Operations Progress (1 paper)
- Partner nations
- United States
In The Last Decade
John H. Sheesley
13 papers receiving 677 citations
John H. Sheesley's Hit Papers
Peers
Comparison fields: 5 of 102
- Statistics, Probability and Uncertainty 261
- Industrial and Manufacturing Engineering 266
- Management Science and Operations Research 201
- Management of Technology and Innovation 98
- Management Information Systems 95
Countries citing papers authored by John H. Sheesley
This map shows the geographic impact of John H. Sheesley'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. Sheesley 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. Sheesley more than expected).
Fields of papers citing papers by John H. Sheesley
This network shows the impact of papers produced by John H. Sheesley. 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. Sheesley. The network helps show where John H. Sheesley may publish in the future.
Co-authors
The 5 scholars most cited alongside John H. Sheesley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Quality Engineering in Production Systems Hit paper breakdown → | 1990 | 673 |
| 2 | 1978 | 15 | |
| 3 | 1978 | 8 | |
| 4 | 1990 | 8 | |
| 5 | 1978 | 8 | |
| 6 | 1977 | 7 | |
| 7 | 1977 | 6 | |
| 8 | 1980 | 6 | |
| 9 | 1980 | 6 | |
| 10 | 1981 | 3 | |
| 11 | 1992 | 2 | |
| 12 | 1984 | 1 | |
| 13 | 2002 | 1 |
About John H. Sheesley
John H. Sheesley is a scholar working on Statistics, Probability and Uncertainty, Industrial and Manufacturing Engineering, Control and Systems Engineering, Nature and Landscape Conservation and Management Information Systems, having authored 13 papers that have together received 744 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (6 papers), Manufacturing Process and Optimization (2 papers), Scientific Measurement and Uncertainty Evaluation (2 papers), Aerospace, Electronics, Mathematical Modeling (1 paper), Reliability and Maintenance Optimization (1 paper), Quality and Supply Management (1 paper), Wind and Air Flow Studies (1 paper) and Engineering and Test Systems (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (261 citations), Industrial and Manufacturing Engineering (266 citations), Management Science and Operations Research (201 citations), Management of Technology and Innovation (98 citations) and Management Information Systems (95 citations). John H. Sheesley has collaborated with scholars based in United States. Frequent co-authors include Genichi Taguchi, Tom Hsiang, Peter R. Nelson, Edward G. Schilling and Henry Schultz. Their work appears in journals such as Journal of Quality Technology, Technometrics, Quality Engineering and Plant/Operations Progress.
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.