Jock MacKay
Impact in
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- Probabilistic and Robust Engineering Design
- Advanced Statistical Process Monitoring
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- Optimal Experimental Design Methods
Papers in
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- Advanced Statistical Methods and Models 3
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- Advanced Statistical Process Monitoring 3
- Meta-analysis and systematic reviews 2
- Scientific Measurement and Uncertainty Evaluation 2
- Co-authors
- Christian GenestBovas AbrahamRaymond H. MyersAnne C. ShoemakerVijayan N. NairThomas J. LorenzenG. Geoffrey ViningRaghu N. Kacker
- Journals
- Technometrics (6 papers)The American Statistician (2 papers)Journal of Quality Technology (2 papers)International Statistical Review (2 papers)New England Journal of Medicine (1 paper)
- Partner nations
- CanadaUnited StatesEgypt
In The Last Decade
Jock MacKay
20 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 140
- Statistics, Probability and Uncertainty 396
- Management Science and Operations Research 625
- Statistics and Probability 311
- Finance 259
- Industrial and Manufacturing Engineering 254
Countries citing papers authored by Jock MacKay
This map shows the geographic impact of Jock MacKay'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 Jock MacKay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jock MacKay more than expected).
Fields of papers citing papers by Jock MacKay
This network shows the impact of papers produced by Jock MacKay. 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 Jock MacKay. The network helps show where Jock MacKay may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jock MacKay, 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 | 2016 | 1 | |
| 2 | 2015 | 1 | |
| 3 | Leveraged Gauge R&R Studies - Supplementary Material | 2010 | 1 |
| 4 | LEARNING TO APPLY STATISTICS USING A VIRTUAL ENVIRONMENT | 2010 | 0 |
| 5 | 2010 | 12 | |
| 6 | 2001 | 1 | |
| 7 | Six Sigma Black Belts: What Do They Need to Know? And Subsequent Discussions and Response | 2001 | 5 |
| 8 | 2000 | 2 | |
| 9 | 1993 | 9 | |
| 10 | 1992 | 309 | |
| 11 | 1992 | 414 | |
| 12 | 1990 | 2 | |
| 13 | 1990 | 1 | |
| 14 | 1986 | 183 | |
| 15 | 1975 | 5 | |
| 16 | 1972 | 4 | |
| 17 | 1972 | 7 | |
| 18 | 1969 | 108 | |
| 19 | 1968 | 6 | |
| 20 | 1960 | 1 |
About Jock MacKay
Jock MacKay is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Family Practice, Management Science and Operations Research and Industrial and Manufacturing Engineering, having authored 21 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (3 papers), Advanced Statistical Process Monitoring (3 papers), Optimal Experimental Design Methods (3 papers), Manufacturing Process and Optimization (2 papers), Meta-analysis and systematic reviews (2 papers), Financial Risk and Volatility Modeling (2 papers), Clinical Laboratory Practices and Quality Control (2 papers) and Scientific Measurement and Uncertainty Evaluation (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (396 citations), Management Science and Operations Research (625 citations), Statistics and Probability (311 citations), Finance (259 citations) and Industrial and Manufacturing Engineering (254 citations). Jock MacKay has collaborated with scholars based in Canada, United States and Egypt. Frequent co-authors include Christian Genest, Bovas Abraham, Raymond H. Myers, Anne C. Shoemaker, Vijayan N. Nair, Thomas J. Lorenzen, G. Geoffrey Vining, Raghu N. Kacker, J. A. Nelder and M. S. Phadke. Their work appears in journals such as Technometrics, The American Statistician, Journal of Quality Technology, International Statistical Review and New England Journal of Medicine.
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.