Robert W. Mee

2.1k citations
72 papers · 1.5k · h-index 22

Impact in

Papers in

Robert W. Mee

68 papers receiving 1.4k citations

Peers

Robert W. Mee
Comparison fields: 5 of 160
  • Statistics and Probability 532
  • Statistics, Probability and Uncertainty 279
  • Management Science and Operations Research 478
  • Computational Theory and Mathematics 286
  • Agronomy and Crop Science 105
Replace J. A. John with:
J. A. John United Kingdom
Walter T. Fédérer United States
J. A. Eccleston Australia
Steven G. Gilmour United Kingdom
Eric D. Schoen Belgium
Ray A. Waller United States
R. Daniel Meyer United States
M. F. Franklin United Kingdom
Ravindra Khattree United States
Robert W. Mee relative to J. A. John United Kingdom J. A. John's profile →
Citations per field
00.5×3.8×
J. A. John · 1×
Citations per year

Countries citing papers authored by Robert W. Mee

Since Specialization
Citations

This map shows the geographic impact of Robert W. Mee'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 Robert W. Mee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert W. Mee more than expected).

Fields of papers citing papers by Robert W. Mee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert W. Mee. 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 Robert W. Mee. The network helps show where Robert W. Mee may publish in the future.

Co-authors

The 25 scholars most cited alongside Robert W. Mee, 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 Robert W. Mee Line = papers co-authored together Robert W. Mee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984360
2 2009127
3 1984110
4 199156
5 200242
6 198341
7 201236
8 198436
9 199034
10 201833
11 199133
12 199132
13 200031
14 200327
15 201426
16 198926
17 201125
18 199825
19 199123
20 200423

About Robert W. Mee

Robert W. Mee is a scholar working on Management Science and Operations Research, Statistics and Probability, Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Aerospace Engineering, having authored 72 papers that have together received 1.5k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (36 papers), Advanced Multi-Objective Optimization Algorithms (23 papers), Statistical Methods in Clinical Trials (20 papers), Advanced Statistical Methods and Models (14 papers), Nuclear Engineering Thermal-Hydraulics (9 papers), Advanced Statistical Process Monitoring (9 papers), Statistical Methods and Bayesian Inference (7 papers) and Manufacturing Process and Optimization (6 papers). The work is most often cited by research in Statistics and Probability (532 citations), Statistics, Probability and Uncertainty (279 citations), Management Science and Operations Research (478 citations), Computational Theory and Mathematics (286 citations) and Agronomy and Crop Science (105 citations). Robert W. Mee has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include David A. Harville, Keith R. Eberhardt, D. B. Owen, Li Huo, Eric D. Schoen, T. A. Short, David Edwards, Paul D. Frymier, Shijin Ren and Cristian I. Contescu. Their work appears in journals such as Technometrics, Journal of Quality Technology, Journal of the American Statistical Association, Quality Engineering and Statistica Sinica.

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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