Steven G. Gilmour
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- Optimal Experimental Design Methods 57
- Statistics and Probability top 2%
- Statistical Methods in Clinical Trials 15
- Statistical Methods and Bayesian Inference 5
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- Advanced Multi-Objective Optimization Algorithms 31
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- Probabilistic and Robust Engineering Design 7
- Aging top 10%
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- Viral Infectious Diseases and Gene Expression in Insects 10
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- Manufacturing Process and Optimization 7
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- Genetics and Plant Breeding 5
- Co-authors
- Luzia A. TrincaR. MeadJulie VarleyPaula JauregiKeshavan NiranjanAmauri RosenthalD.L. PyleAndrew Mead
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityComputational Theory and Mathematics
- Journals
- Technometrics (9 papers)Journal of the Royal Statistical Society Series C (Applied Statistics) (9 papers)Journal of Statistical Planning and Inference (5 papers)
- Partner nations
- United KingdomBrazilUnited States
In The Last Decade
Steven G. Gilmour
80 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 173
- Management Science and Operations Research 569
- Statistics and Probability 191
- Computational Theory and Mathematics 355
- Statistics, Probability and Uncertainty 155
- Aging 36
Countries citing papers authored by Steven G. Gilmour
This map shows the geographic impact of Steven G. Gilmour'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 Steven G. Gilmour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven G. Gilmour more than expected).
Fields of papers citing papers by Steven G. Gilmour
This network shows the impact of papers produced by Steven G. Gilmour. 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 Steven G. Gilmour. The network helps show where Steven G. Gilmour may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Steven G. Gilmour, 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 | 2023 | 1 | |
| 2 | 2023 | 0 | |
| 3 | 2021 | 3 | |
| 4 | 2018 | 11 | |
| 5 | 2017 | 8 | |
| 6 | 2015 | 2 | |
| 7 | 2014 | 1 | |
| 8 | Statistical isomorphism of three-level fractional factorial designs | 2006 | 3 |
| 9 | 2005 | 91 | |
| 10 | Some new three-level orthogonal main effects plans robust to model uncertainty | 2004 | 7 |
| 11 | 2004 | 2 | |
| 12 | 2003 | 7 | |
| 13 | 2003 | 16 | |
| 14 | 2003 | 7 | |
| 15 | 2000 | 26 | |
| 16 | 1999 | 18 | |
| 17 | 1999 | 14 | |
| 18 | 1998 | 19 | |
| 19 | 1997 | 58 | |
| 20 | 1996 | 67 |
About Steven G. Gilmour
Steven G. Gilmour is a scholar working on Management Science and Operations Research, Statistics and Probability and Computational Theory and Mathematics, having authored 85 papers that have together received 1.7k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (57 papers), Advanced Multi-Objective Optimization Algorithms (31 papers), Statistical Methods in Clinical Trials (15 papers), Viral Infectious Diseases and Gene Expression in Insects (10 papers), Manufacturing Process and Optimization (7 papers), Probabilistic and Robust Engineering Design (7 papers), Statistical Methods and Bayesian Inference (5 papers) and Genetics and Plant Breeding (5 papers). The work is most often cited by research in Management Science and Operations Research (569 citations), Statistics and Probability (191 citations) and Computational Theory and Mathematics (355 citations). Steven G. Gilmour has collaborated with scholars based in United Kingdom, Brazil and United States. Frequent co-authors include Luzia A. Trinca, R. Mead, Julie Varley, Paula Jauregi, Keshavan Niranjan, Amauri Rosenthal, D.L. Pyle, Andrew Mead, Peter Goos and Robert A. Rastall. Their work appears in journals such as Technometrics, Journal of the Royal Statistical Society Series C (Applied Statistics), Journal of Statistical Planning and Inference, Biometrics and Computational Statistics & Data Analysis.
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.