Michael J. Box

2.9k citations
17 papers · 2.2k · h-index 12

Impact in

Papers in

Michael J. Box

17 papers receiving 1.9k citations

Peers

Michael J. Box
Comparison fields: 5 of 135
  • Numerical Analysis 203
  • Management Science and Operations Research 393
  • Statistics and Probability 176
  • Control and Systems Engineering 342
  • Applied Mathematics 144
Replace Yonathan Bard with:
Yonathan Bard United States
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Thomas A. Brubaker United States
Allan D. Waren United States
V. V. Fedorov United States
Luc Pronzato B France
Genyuan Li United States
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Anant M. Kshirsagar United States
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Michael J. Box relative to Yonathan Bard United States Yonathan Bard's profile →
Citations per field
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Yonathan Bard · 1×
Citations per year

Countries citing papers authored by Michael J. Box

Since Specialization
Citations

This map shows the geographic impact of Michael 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 Michael 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 Michael J. Box more than expected).

Fields of papers citing papers by Michael J. Box

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael 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 Michael J. Box. The network helps show where Michael J. Box may publish in the future.

Co-authors

The 2 scholars most cited alongside Michael J. Box, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael J. Box Line = papers co-authored together Michael J. Box links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 19651027
2 1966287
3 1971272
4
Non-linear optimization techniques;
1969171
5 1971171
6 197057
7 196854
8 197046
9 197442
10 197126
11 197226
12 197023
13 197112
14 19696
15 19714
16 19693
17
Techniques d'optimisation non linéaire
19712

About Michael J. Box

Michael J. Box is a scholar working on Management Science and Operations Research, Numerical Analysis, Statistics and Probability, Applied Mathematics and Nuclear Energy and Engineering, having authored 17 papers that have together received 2.2k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (8 papers), Advanced Optimization Algorithms Research (4 papers), Statistical and numerical algorithms (3 papers), Statistical Methods and Bayesian Inference (3 papers), Statistical Distribution Estimation and Applications (2 papers), Advanced Statistical Methods and Models (2 papers), Statistical Methods and Applications (1 paper) and Probability and Statistical Research (1 paper). The work is most often cited by research in Numerical Analysis (203 citations), Management Science and Operations Research (393 citations), Statistics and Probability (176 citations), Control and Systems Engineering (342 citations) and Applied Mathematics (144 citations). Michael J. Box has collaborated with scholars based in United States. Frequent co-authors include Norman R. Draper and William G. Hunter. Their work appears in journals such as Technometrics, Journal of the Royal Statistical Society Series C (Applied Statistics), The Computer Journal, 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.

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