M. J. Box
- Computational Theory and Mathematics top 1%
- Management Science and Operations Research top 1%
- Control and Systems Engineering top 2%
- Mechanical Engineering top 10%
- Statistics, Probability and Uncertainty top 1%
- Topics
- Optimal Experimental Design Methods (12 papers)Advanced Multi-Objective Optimization Algorithms (8 papers)Spectroscopy and Chemometric Analyses (5 papers)
- Cited by
- Management Science and Operations ResearchStatistics, Probability and UncertaintyNumerical Analysis
- Journals
- TechnometricsBiometrikaJournal of the Royal Statistical Society Series B (Statistical Methodology)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
M. J. Box
23 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Computational Theory and Mathematics 434
- Management Science and Operations Research 404
- Control and Systems Engineering 395
- Mechanical Engineering 264
- Statistics, Probability and Uncertainty 231
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-authorship network of co-authors of M. J. Box
This figure shows the co-authorship network connecting the top 25 collaborators of M. J. Box. A scholar is included among the top collaborators of M. J. Box 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 M. J. Box. M. J. Box is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 36 | |
| 3 | 14 | |
| 4 | 24 | |
| 5 | Techniques d'optimisation non linéaire | 2 |
| 6 | 169 | |
| 7 | 5 | |
| 8 | 27 | |
| 9 | 33 | |
| 10 | 271 | |
| 11 | 0 | |
| 12 | 20 | |
| 13 | 6 | |
| 14 | 14 | |
| 15 | 47 | |
| 16 | 47 | |
| 17 | 5 | |
| 18 | 3 | |
| 19 | 54 | |
| 20 | A New Method of Constrained Optimization and a Comparison With Other Methodsbreakdown → | 972 |
About M. J. Box
M. J. Box is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Analytical Chemistry, 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) and Spectroscopy and Chemometric Analyses (5 papers). The work is most often cited by research in Management Science and Operations Research (404 citations), Statistics, Probability and Uncertainty (231 citations) and Numerical Analysis (157 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, Alan Miller and David Griffiths. Their work appears in journals such as Technometrics, Biometrika and Journal of the Royal Statistical Society Series B (Statistical Methodology).
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.