S. M. Lewis
- Management Science and Operations Research top 1%
- Computational Theory and Mathematics top 2%
- Statistics and Probability top 2%
- Statistics, Probability and Uncertainty top 2%
- Public Health, Environmental and Occupational Health
- Co-authors
- Angela DeanAloke DeyDavid C. WoodsP. PrescottK. G. RussellNorman R. DraperJ. A. EcclestonJ. A. John
- Topics
- Optimal Experimental Design Methods (50 papers)Advanced Multi-Objective Optimization Algorithms (21 papers)Statistical Methods in Clinical Trials (20 papers)
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityStatistics, Probability and Uncertainty
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
S. M. Lewis
64 papers receiving 686 citations
Peers
Comparison fields: 5 of 135
- Management Science and Operations Research 413
- Computational Theory and Mathematics 220
- Statistics and Probability 147
- Statistics, Probability and Uncertainty 108
- Public Health, Environmental and Occupational Health 66
Countries citing papers authored by S. M. Lewis
This map shows the geographic impact of S. M. Lewis'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 S. M. Lewis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. M. Lewis more than expected).
Fields of papers citing papers by S. M. Lewis
This network shows the impact of papers produced by S. M. Lewis. 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 S. M. Lewis. The network helps show where S. M. Lewis may publish in the future.
Co-authorship network of co-authors of S. M. Lewis
This figure shows the co-authorship network connecting the top 25 collaborators of S. M. Lewis. A scholar is included among the top collaborators of S. M. Lewis 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 S. M. Lewis. S. M. Lewis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 28 | |
| 3 | 28 | |
| 4 | 31 | |
| 5 | D-OPTIMAL DESIGNS FOR POISSON REGRESSION MODELS | 37 |
| 6 | 6 | |
| 7 | Design of experiment algorithms for assembled products | 0 |
| 8 | 16 | |
| 9 | An application of Polya theory to cross-over designs with dropout | 1 |
| 10 | Designing experiments for multi-variable B-spline models | 4 |
| 11 | Recommendations for reference method for the packed cell volume (ICSH Standard 2001) | 10 |
| 12 | 4 | |
| 13 | 12 | |
| 14 | 14 | |
| 15 | 14 | |
| 16 | 15 | |
| 17 | 1 | |
| 18 | 7 | |
| 19 | 0 | |
| 20 | 2 |
About S. M. Lewis
S. M. Lewis is a scholar working on Management Science and Operations Research, Statistics and Probability and Computational Theory and Mathematics, having authored 69 papers that have together received 768 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (50 papers), Advanced Multi-Objective Optimization Algorithms (21 papers) and Statistical Methods in Clinical Trials (20 papers). The work is most often cited by research in Management Science and Operations Research (413 citations), Statistics and Probability (147 citations) and Statistics, Probability and Uncertainty (108 citations). S. M. Lewis has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Angela Dean, Aloke Dey, David C. Woods, P. Prescott, K. G. Russell, Norman R. Draper, J. A. Eccleston, J. A. John, Georgia L. Wiesner and Karen L. Edwards. Their work appears in journals such as Journal of the American Statistical Association, Technometrics 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.