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
- Statistical Methods and Inference 2
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- Advanced Statistical Process Monitoring 4
- Meta-analysis and systematic reviews 2
- Scientific Measurement and Uncertainty Evaluation 2
- Co-authors
- Christian Genest (2 shared papers)Bovas Abraham (5 shared papers)Kwok‐Leung Tsui (2 shared papers)Thomas J. Lorenzen (2 shared papers)Changbao Wu (2 shared papers)Shin Taguchi (2 shared papers)George E. P. Box (2 shared papers)G. Geoffrey Vining (2 shared papers)
- Journals
- Technometrics (6 papers)Journal of Quality Technology (2 papers)The American Statistician (2 papers)International Statistical Review (2 papers)The Lancet (1 paper)
- Partner nations
- CanadaUnited StatesEgypt
In The Last Decade
Jock MacKay
21 papers receiving 1.5k citations
Jock MacKay's Hit Papers
Peers
Comparison fields: 5 of 141
- Statistics, Probability and Uncertainty 434
- Management Science and Operations Research 684
- Statistics and Probability 358
- Finance 282
- Industrial and Manufacturing Engineering 273
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-authors
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
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Joy of Copulas: Bivariate Distributions with Uniform Marginals Hit paper breakdown → | 1986 | 546 |
| 2 | 1992 | 445 | |
| 3 | 1992 | 342 | |
| 4 | 1986 | 195 | |
| 5 | 1969 | 114 | |
| 6 | 2010 | 12 | |
| 7 | 1993 | 9 | |
| 8 | 1968 | 7 | |
| 9 | 1972 | 7 | |
| 10 | 1975 | 7 | |
| 11 | Six Sigma Black Belts: What Do They Need to Know? And Subsequent Discussions and Response | 2001 | 5 |
| 12 | 1972 | 4 | |
| 13 | 2000 | 2 | |
| 14 | 1990 | 2 | |
| 15 | Leveraged Gauge R&R Studies - Supplementary Material | 2010 | 1 |
| 16 | 1960 | 1 | |
| 17 | 2001 | 1 | |
| 18 | 1990 | 1 | |
| 19 | 2015 | 1 | |
| 20 | 1976 | 1 |
About Jock MacKay
Jock MacKay is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Management Science and Operations Research, Finance and Artificial Intelligence, having authored 22 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (4 papers), Optimal Experimental Design Methods (3 papers), Advanced Statistical Methods and Models (3 papers), Meta-analysis and systematic reviews (2 papers), Clinical Laboratory Practices and Quality Control (2 papers), Manufacturing Process and Optimization (2 papers), Scientific Measurement and Uncertainty Evaluation (2 papers) and Statistical Methods and Inference (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (434 citations), Management Science and Operations Research (684 citations), Statistics and Probability (358 citations), Finance (282 citations) and Industrial and Manufacturing Engineering (273 citations). Jock MacKay has collaborated with scholars based in Canada, United States and Egypt. Frequent co-authors include Christian Genest, Bovas Abraham, Kwok‐Leung Tsui, Thomas J. Lorenzen, Changbao Wu, Shin Taguchi, George E. P. Box, G. Geoffrey Vining, James M. Lucas and J. A. Nelder. Their work appears in journals such as Technometrics, Journal of Quality Technology, The American Statistician, International Statistical Review and The Lancet.
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.