S. M. Lewis

1.1k total citations
69 papers, 768 citations indexed

About

S. M. Lewis is a scholar working on Management Science and Operations Research, Statistics and Probability and Computational Theory and Mathematics. According to data from OpenAlex, S. M. Lewis has authored 69 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Management Science and Operations Research, 24 papers in Statistics and Probability and 21 papers in Computational Theory and Mathematics. Recurrent topics in S. M. Lewis's work include Optimal Experimental Design Methods (50 papers), Advanced Multi-Objective Optimization Algorithms (21 papers) and Statistical Methods in Clinical Trials (20 papers). S. M. Lewis is often cited by papers focused on Optimal Experimental Design Methods (50 papers), Advanced Multi-Objective Optimization Algorithms (21 papers) and Statistical Methods in Clinical Trials (20 papers). S. M. Lewis collaborates with scholars based in United Kingdom, United States and Australia. S. M. Lewis's co-authors include Angela Dean, Aloke Dey, David C. Woods, P. Prescott, K. G. Russell, J. A. Eccleston, Norman R. Draper, J. A. John, Georgia L. Wiesner and Karen L. Edwards and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrika.

In The Last Decade

S. M. Lewis

64 papers receiving 686 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
S. M. Lewis United Kingdom 16 413 220 147 108 66 69 768
Peter W. M. John United States 16 362 0.9× 161 0.7× 194 1.3× 92 0.9× 7 0.1× 54 659
Christos P. Kitsos Greece 11 237 0.6× 170 0.8× 117 0.8× 130 1.2× 8 0.1× 48 499
Ayesha Khan Pakistan 13 309 0.7× 115 0.5× 74 0.5× 11 0.1× 8 0.1× 37 624
Eugène L. Grant United States 7 82 0.2× 16 0.1× 132 0.9× 364 3.4× 7 0.1× 22 777
Robert Cléroux Canada 18 45 0.1× 16 0.1× 527 3.6× 101 0.9× 16 0.2× 53 950
Richard S. Leavenworth United States 6 78 0.2× 15 0.1× 152 1.0× 376 3.5× 5 0.1× 10 728
Siu‐Keung Tse Hong Kong 14 131 0.3× 23 0.1× 557 3.8× 376 3.5× 11 0.2× 63 734
Randall Brooks United Kingdom 12 115 0.3× 53 0.2× 280 1.9× 92 0.9× 6 0.1× 31 782
Marie Gaudard United States 9 70 0.2× 16 0.1× 174 1.2× 345 3.2× 5 0.1× 21 784
Kiran Pandey India 12 232 0.6× 31 0.1× 18 0.1× 5 0.0× 47 0.7× 53 621

Countries citing papers authored by S. M. Lewis

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Guda, Kishore, Stephen P. Fink, Ginger L. Milne, et al.. (2014). Inactivating Mutation in the Prostaglandin Transporter Gene, SLCO2A1 , Associated with Familial Digital Clubbing, Colon Neoplasia, and NSAID Resistance. Cancer Prevention Research. 7(8). 805–812. 27 indexed citations
2.
Draguljić, Danel, et al.. (2013). Screening Strategies in the Presence of Interactions. Technometrics. 56(1). 1–1. 28 indexed citations
3.
Edwards, Karen L., Amy A. Lemke, Susan Brown Trinidad, et al.. (2012). Genetics researchers’ and IRB professionals’ attitudes toward genetic research review: a comparative analysis. Genetics in Medicine. 14(2). 236–242. 28 indexed citations
4.
Edwards, Karen L., Amy A. Lemke, Susan Brown Trinidad, et al.. (2011). Attitudes toward Genetic Research Review: Results from a Survey of Human Genetics Researchers. Public Health Genomics. 14(6). 337–345. 31 indexed citations
5.
Russell, K. G., David C. Woods, S. M. Lewis, & J. A. Eccleston. (2009). D-OPTIMAL DESIGNS FOR POISSON REGRESSION MODELS. Statistica Sinica. 19(2). 721–730. 37 indexed citations
6.
Russell, K. G., J. A. Eccleston, S. M. Lewis, & David C. Woods. (2008). Design considerations for small experiments and simple logistic regression. Journal of Statistical Computation and Simulation. 79(1). 81–91. 6 indexed citations
7.
Anthony, David K., et al.. (2007). Design of experiment algorithms for assembled products. Quality Engineering. 52(3). 319–324.
8.
Dupplaw, David, Colin P. Please, S. M. Lewis, et al.. (2004). A Web-Based Knowledge Elicitation System (GISEL) for Planning and Assessing Group Screening Experiments for Product Development. Journal of Computing and Information Science in Engineering. 4(3). 218–225. 8 indexed citations
9.
Woods, David C., S. M. Lewis, & J. N. Dewynne. (2003). Designing experiments for multi-variable B-spline models. ePrints Soton (University of Southampton). 4 indexed citations
10.
Lewis, S. M., et al.. (2003). An application of Polya theory to cross-over designs with dropout. ePrints Soton (University of Southampton). 1 indexed citations
11.
Assendelft, Onno W. van, Brian S. Bull, W. Groner, et al.. (2001). Recommendations for reference method for the packed cell volume (ICSH Standard 2001). 7(3). 148–170. 10 indexed citations
12.
Lewis, S. M., et al.. (2001). Experiments for Derived Factors with Application to Hydraulic Gear Pumps. Journal of the Royal Statistical Society Series C (Applied Statistics). 50(2). 155–170. 4 indexed citations
13.
Lewis, S. M., et al.. (2000). Semi-controlled experiment plans for improved mechanical engineering designs. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 214(2). 95–105. 12 indexed citations
14.
Russell, K. G. & S. M. Lewis. (1997). Efficient cross-over designs allowing a check on the assumption that direct and carry-over effects do not interact. Communication in Statistics- Theory and Methods. 26(12). 2835–2854. 3 indexed citations
15.
Gerami, A. & S. M. Lewis. (1994). Completely Randomized Designs for Comparing Dual with Single Treatments. Journal of the Royal Statistical Society Series B (Statistical Methodology). 56(1). 161–165. 3 indexed citations
16.
Lewis, S. M., B. J. Barfield, D. E. Storm, & Lindell Ormsbee. (1994). ProrilAn Erosion Model Using Probability Distributions for Rill Flow and Density I. Model Development. Transactions of the ASAE. 37(1). 115–123. 14 indexed citations
17.
Lewis, S. M., et al.. (1993). Response Surface Methodology and Taguchi: A Quality Improvement Study from the Milling Industry. Journal of the Royal Statistical Society Series C (Applied Statistics). 42(4). 671–671. 15 indexed citations
18.
Katz, Richard C., et al.. (1991). A Comparison of Computerized Reading Treatment, Computer Stimulation, and No Treatment for Aphasia. The Aphasiology Archive (University of Pittsburgh). 108(1). 83–87. 1 indexed citations
19.
Dean, Angela & S. M. Lewis. (1984). A Comparison of Upper Bounds for Efficiency Factors of Block Designs. Journal of the Royal Statistical Society Series B (Statistical Methodology). 46(2). 279–283. 2 indexed citations
20.
Lewis, S. M. & Angela Dean. (1980). Factorial Experiments In Resolvable Generalized Cyclic Designs. Journal of Applied Statistics. 7(2). 159–167. 2 indexed citations

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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