S. M. Lewis
Impact in
-
- Optimal Experimental Design Methods
- Statistics and Probability top 2%
- Statistical Methods in Clinical Trials
Papers in
-
- Optimal Experimental Design Methods 50
-
- Statistical Methods in Clinical Trials 20
- Co-authors
- Angela Dean (22 shared papers)Aloke Dey (1 shared paper)David C. Woods (9 shared papers)P. Prescott (7 shared papers)K. G. Russell (5 shared papers)Norman R. Draper (4 shared papers)J. A. Eccleston (4 shared papers)J. A. John (3 shared papers)
- Journals
- Journal of the Royal Statistical Society Series B (Statistical Methodology) (10 papers)Journal of the Royal Statistical Society Series C (Applied Statistics) (5 papers)Biometrika (5 papers)Journal of Statistical Planning and Inference (5 papers)Technometrics (3 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
S. M. Lewis
64 papers receiving 689 citations
Peers
Comparison fields: 5 of 134
- Management Science and Operations Research 413
- Statistics and Probability 144
- Statistics, Probability and Uncertainty 103
- Computational Theory and Mathematics 221
- Industrial and Manufacturing Engineering 63
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-authors
The 25 scholars most cited alongside S. M. Lewis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A simple and reliable method for estimating haemoglobin. | 1995 | 71 |
| 2 | 1986 | 62 | |
| 3 | 2001 | 38 | |
| 4 | D-OPTIMAL DESIGNS FOR POISSON REGRESSION MODELS | 2009 | 37 |
| 5 | 1993 | 32 | |
| 6 | 2011 | 31 | |
| 7 | 2002 | 31 | |
| 8 | 2012 | 28 | |
| 9 | 2013 | 28 | |
| 10 | 2014 | 27 | |
| 11 | 1980 | 22 | |
| 12 | 1983 | 20 | |
| 13 | 2004 | 18 | |
| 14 | 1993 | 16 | |
| 15 | 2007 | 16 | |
| 16 | 1999 | 15 | |
| 17 | 1993 | 15 | |
| 18 | 1975 | 15 | |
| 19 | 1994 | 14 | |
| 20 | 1994 | 14 |
About S. M. Lewis
S. M. Lewis is a scholar working on Management Science and Operations Research, Statistics and Probability, Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Electrical and Electronic Engineering, having authored 69 papers that have together received 770 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (50 papers), Advanced Multi-Objective Optimization Algorithms (21 papers), Statistical Methods in Clinical Trials (20 papers), Manufacturing Process and Optimization (5 papers), graph theory and CDMA systems (5 papers), Probabilistic and Robust Engineering Design (4 papers), Advanced Statistical Process Monitoring (4 papers) and Soil erosion and sediment transport (3 papers). The work is most often cited by research in Management Science and Operations Research (413 citations), Statistics and Probability (144 citations), Statistics, Probability and Uncertainty (103 citations), Computational Theory and Mathematics (221 citations) and Industrial and Manufacturing Engineering (63 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 Helene Starks. Their work appears in journals such as Journal of the Royal Statistical Society Series B (Statistical Methodology), Journal of the Royal Statistical Society Series C (Applied Statistics), Biometrika, Journal of Statistical Planning and Inference and Technometrics.
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.