M. J. Box
Impact in
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- Optimal Experimental Design Methods
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- Probabilistic and Robust Engineering Design
Papers in
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- Optimal Experimental Design Methods 12
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- Advanced Multi-Objective Optimization Algorithms 8
- Co-authors
- Norman R. Draper (8 shared papers)David Davies (2 shared papers)William G. Hunter (2 shared papers)David Griffiths (1 shared paper)Alan Miller (1 shared paper)
- Journals
- Technometrics (13 papers)The Computer Journal (3 papers)Journal of the Royal Statistical Society Series C (Applied Statistics) (3 papers)Journal of the Royal Statistical Society Series B (Statistical Methodology) (2 papers)Biometrika (1 paper)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
M. J. Box
23 papers receiving 1.9k citations
M. J. Box's Hit Papers
Peers
Comparison fields: 5 of 149
- Management Science and Operations Research 404
- Statistics, Probability and Uncertainty 231
- Numerical Analysis 157
- Statistics and Probability 229
- Computational Theory and Mathematics 434
Countries citing papers authored by M. J. Box
This map shows the geographic impact of M. J. Box'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 M. J. Box with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. J. Box more than expected).
Fields of papers citing papers by M. J. Box
This network shows the impact of papers produced by M. J. Box. 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 M. J. Box. The network helps show where M. J. Box may publish in the future.
Co-authors
The 5 scholars most cited alongside M. J. Box, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A New Method of Constrained Optimization and a Comparison With Other Methods Hit paper breakdown → | 1965 | 972 |
| 2 | 1971 | 271 | |
| 3 | 1966 | 265 | |
| 4 | 1971 | 169 | |
| 5 | Non-linear optimization techniques; | 1969 | 144 |
| 6 | 1968 | 54 | |
| 7 | 1970 | 47 | |
| 8 | 1970 | 47 | |
| 9 | 1974 | 36 | |
| 10 | 1970 | 35 | |
| 11 | 1971 | 33 | |
| 12 | 1971 | 27 | |
| 13 | 1972 | 24 | |
| 14 | 1970 | 20 | |
| 15 | 1970 | 14 | |
| 16 | 1974 | 14 | |
| 17 | 1971 | 8 | |
| 18 | 1970 | 6 | |
| 19 | 1969 | 5 | |
| 20 | 1971 | 5 |
About M. J. Box
M. J. Box is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics, Analytical Chemistry, Statistics, Probability and Uncertainty and Numerical Analysis, having authored 24 papers that have together received 2.2k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (12 papers), Advanced Multi-Objective Optimization Algorithms (8 papers), Spectroscopy and Chemometric Analyses (5 papers), Advanced Statistical Methods and Models (2 papers), graph theory and CDMA systems (2 papers), Probabilistic and Robust Engineering Design (2 papers), Advanced Optimization Algorithms Research (2 papers) and Control Systems and Identification (2 papers). The work is most often cited by research in Management Science and Operations Research (404 citations), Statistics, Probability and Uncertainty (231 citations), Numerical Analysis (157 citations), Statistics and Probability (229 citations) and Computational Theory and Mathematics (434 citations). M. J. Box has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Norman R. Draper, David Davies, William G. Hunter, David Griffiths and Alan Miller. Their work appears in journals such as Technometrics, The Computer Journal, Journal of the Royal Statistical Society Series C (Applied Statistics), Journal of the Royal Statistical Society Series B (Statistical Methodology) and Biometrika.
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.