William G. Hunter
Impact in
- Filtration and Separation top 0.5%
-
- Advanced Statistical Process Monitoring
- Probabilistic and Robust Engineering Design
Papers in
-
- Optimal Experimental Design Methods 26
-
- Advanced Statistical Methods and Models 9
- Statistical Methods and Bayesian Inference 4
- Co-authors
- George E. P. BoxJ. Stuart HunterR. A. GriegerWilliam J. HillArthur FriesNorman R. DraperDavid M. SteinbergRavi Parameswaran
- Journals
- Technometrics (39 papers)The American Statistician (7 papers)Biometrika (6 papers)AIChE Journal (4 papers)Journal of Marketing Research (3 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
William G. Hunter
88 papers receiving 8.6k citations
Hit Papers
Peers
Comparison fields: 5 of 212
- Filtration and Separation 374
- Statistics, Probability and Uncertainty 1.2k
- Management Science and Operations Research 1.9k
- Statistics and Probability 945
- Computational Theory and Mathematics 1.2k
Countries citing papers authored by William G. Hunter
This map shows the geographic impact of William G. Hunter'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 William G. Hunter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William G. Hunter more than expected).
Fields of papers citing papers by William G. Hunter
This network shows the impact of papers produced by William G. Hunter. 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 William G. Hunter. The network helps show where William G. Hunter may publish in the future.
Co-authors
The 25 scholars most cited alongside William G. Hunter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 8 | |
| 2 | 1988 | 76 | |
| 3 | 1985 | 10 | |
| 4 | 1984 | 222 | |
| 5 | 1983 | 1 | |
| 6 | How to construct reference distributions to evaluate treatment plant effluent quality | 1983 | 14 |
| 7 | 1981 | 30 | |
| 8 | 1979 | 1 | |
| 9 | 1979 | 6 | |
| 10 | Statistics for Experimenters: An Introduction to Design, Data Analysis, and Model Building Hit paper breakdown → | 1979 | 517 |
| 11 | Statistics for experimenters. An introduction to design, data analysis, and model building. Hit paper breakdown → | 1978 | 3257 |
| 12 | 1974 | 27 | |
| 13 | 1971 | 11 | |
| 14 | 1969 | 10 | |
| 15 | 1968 | 81 | |
| 16 | 1968 | 95 | |
| 17 | 1966 | 253 | |
| 18 | 1965 | 144 | |
| 19 | 1965 | 108 | |
| 20 | 1962 | 79 |
About William G. Hunter
William G. Hunter is a scholar working on Management Science and Operations Research, Statistics and Probability, Statistics, Probability and Uncertainty, Analytical Chemistry and Computational Theory and Mathematics, having authored 93 papers that have together received 9.5k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (26 papers), Advanced Multi-Objective Optimization Algorithms (10 papers), Advanced Statistical Methods and Models (9 papers), Spectroscopy and Chemometric Analyses (8 papers), Advanced Statistical Process Monitoring (7 papers), Fault Detection and Control Systems (5 papers), Water Quality Monitoring and Analysis (5 papers) and Statistical Methods and Bayesian Inference (4 papers). The work is most often cited by research in Filtration and Separation (374 citations), Statistics, Probability and Uncertainty (1.2k citations), Management Science and Operations Research (1.9k citations), Statistics and Probability (945 citations) and Computational Theory and Mathematics (1.2k citations). William G. Hunter has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include George E. P. Box, J. Stuart Hunter, R. A. Grieger, William J. Hill, Arthur Fries, Norman R. Draper, David M. Steinberg, Ravi Parameswaran, Lars Pallesen and Albey M. Reiner. Their work appears in journals such as Technometrics, The American Statistician, Biometrika, AIChE Journal and Journal of Marketing Research.
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.