Steven G. Gilmour

2.4k total citations
85 papers, 1.7k citations indexed

About

Steven G. Gilmour is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Statistics and Probability. According to data from OpenAlex, Steven G. Gilmour has authored 85 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Management Science and Operations Research, 31 papers in Computational Theory and Mathematics and 20 papers in Statistics and Probability. Recurrent topics in Steven G. Gilmour's work include Optimal Experimental Design Methods (57 papers), Advanced Multi-Objective Optimization Algorithms (31 papers) and Statistical Methods in Clinical Trials (15 papers). Steven G. Gilmour is often cited by papers focused on Optimal Experimental Design Methods (57 papers), Advanced Multi-Objective Optimization Algorithms (31 papers) and Statistical Methods in Clinical Trials (15 papers). Steven G. Gilmour collaborates with scholars based in United Kingdom, Brazil and United States. Steven G. Gilmour's co-authors include Luzia A. Trinca, R. Mead, Paula Jauregi, Julie Varley, Keshavan Niranjan, Amauri Rosenthal, D.L. Pyle, Andrew Mead, Peter Goos and Robert A. Rastall and has published in prestigious journals such as Technometrics, Genetics and Chemical Engineering Journal.

In The Last Decade

Steven G. Gilmour

80 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven G. Gilmour United Kingdom 22 569 355 272 210 191 85 1.7k
Atanu Biswas India 19 377 0.7× 113 0.3× 121 0.4× 206 1.0× 557 2.9× 135 1.3k
Angela Dean United Kingdom 5 155 0.3× 101 0.3× 118 0.4× 152 0.7× 59 0.3× 15 2.4k
A. I. Khuri United States 15 643 1.1× 344 1.0× 58 0.2× 71 0.3× 224 1.2× 41 1.3k
Siuli Mukhopadhyay India 7 152 0.3× 138 0.4× 126 0.5× 94 0.4× 44 0.2× 30 1.7k
Scott M. Kowalski United States 13 495 0.9× 294 0.8× 52 0.2× 53 0.3× 130 0.7× 19 1.0k
Robert W. Mee United States 22 463 0.8× 285 0.8× 69 0.3× 118 0.6× 537 2.8× 72 1.5k
Agnar Höskuldsson Denmark 17 46 0.1× 250 0.7× 302 1.1× 176 0.8× 264 1.4× 44 2.4k
M.C. Ortiz Spain 33 75 0.1× 79 0.2× 439 1.6× 743 3.5× 141 0.7× 176 3.5k
L.A. Sarabia Spain 33 67 0.1× 79 0.2× 439 1.6× 732 3.5× 133 0.7× 167 3.5k
Verónica Czitrom United States 9 187 0.3× 106 0.3× 82 0.3× 47 0.2× 51 0.3× 17 904

Countries citing papers authored by Steven G. Gilmour

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Steven G. Gilmour

This figure shows the co-authorship network connecting the top 25 collaborators of Steven G. Gilmour. A scholar is included among the top collaborators of Steven G. Gilmour 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 Steven G. Gilmour. Steven G. Gilmour 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.
Gilmour, Steven G., et al.. (2023). Design of Agricultural Field Experiments Accounting for both Complex Blocking Structures and Network Effects. Journal of Agricultural Biological and Environmental Statistics. 28(3). 526–548.
2.
Gilmour, Steven G., André Charlett, David Taylor, et al.. (2023). Bradyphrenia and Tachyphrenia in Idiopathic Parkinsonism Appear, in Part, Iatrogenic: An Observational Study with Systematic Review Background. Journal of Clinical Medicine. 12(20). 6499–6499. 1 indexed citations
3.
Gilmour, Steven G., et al.. (2020). Optimal Design of Experiments for Hybrid Nonlinear Models, with Applications to Extended Michaelis–Menten Kinetics. Journal of Agricultural Biological and Environmental Statistics. 25(4). 601–616. 6 indexed citations
4.
Eskridge, Kent M., et al.. (2018). Group screening for rare events based on incomplete block designs. Biotechnology Progress. 35(2). e2770–e2770. 11 indexed citations
5.
Trinca, Luzia A. & Steven G. Gilmour. (2017). Split-Plot and Multi-Stratum Designs for Statistical Inference. Technometrics. 59(4). 446–457. 8 indexed citations
6.
Gilmour, Steven G.. (2016). Discussion of “21st century screening experiments: What, why, and how”. Quality Engineering. 28(1). 107–110.
7.
Gilmour, Steven G., et al.. (2015). New families of Q_B-optimal saturated two-level main effects screening designs. Statistica Sinica. 2 indexed citations
8.
Gilmour, Steven G., et al.. (2014). Optimal design of measurements on queueing systems. Queueing Systems. 79(3-4). 365–390. 3 indexed citations
9.
Bray, David J., Steven G. Gilmour, F.J. Guild, & Ambrose C. Taylor. (2012). Quantifying Nanoparticle Dispersion by Using The Area Disorder of Delaunay Triangulation. Journal of the Royal Statistical Society Series C (Applied Statistics). 61(2). 253–275. 14 indexed citations
10.
Gilmour, Steven G., et al.. (2006). Statistical isomorphism of three-level fractional factorial designs. Research Portal (King's College London). 70. 3–9. 3 indexed citations
11.
Gilmour, Steven G., et al.. (2006). Three-level main-effects designs exploiting prior information about model uncertainty. Journal of Statistical Planning and Inference. 137(2). 619–627. 11 indexed citations
12.
Gilmour, Steven G.. (2005). Response Surface Designs for Experiments in Bioprocessing. Biometrics. 62(2). 323–331. 91 indexed citations
13.
Gilmour, Steven G., et al.. (2004). Some new three-level orthogonal main effects plans robust to model uncertainty. Statistica Sinica. 14(4). 1075–1084. 7 indexed citations
14.
Deardon, Rob, Steven G. Gilmour, Neil A. Butler, K. Phelps, & Roy Kennedy. (2004). A Method for Ascertaining and Controlling Representation Bias in Field Trials for Airborne Plant Pathogens. Journal of Applied Statistics. 31(3). 329–343. 2 indexed citations
15.
Gilmour, Steven G. & Luzia A. Trinca. (2003). Row-Column Response Surface Designs. Journal of Quality Technology. 35(2). 184–193. 7 indexed citations
16.
Gilmour, Steven G. & Luzia A. Trinca. (2000). Some practical advice on polynomial regression analysis from blocked response surface designs. Communication in Statistics- Theory and Methods. 29(9-10). 2157–2180. 26 indexed citations
17.
Mountzouris, Konstantinos C., et al.. (1999). A study of dextran production from maltodextrin by cell suspensions of Gluconobacter oxydans NCIB 4943. Journal of Applied Microbiology. 87(4). 546–556. 18 indexed citations
18.
Trinca, Luzia A. & Steven G. Gilmour. (1999). Difference Variance Dispersion Graphs for Comparing Response Surface Designs with Applications in Food Technology. Journal of the Royal Statistical Society Series C (Applied Statistics). 48(4). 441–455. 14 indexed citations
19.
Kikafunda, Joyce K., Ann F. Walker, & Steven G. Gilmour. (1998). Effect of refining and supplementation on the viscosity and energy density of weaning maize porridges. International Journal of Food Sciences and Nutrition. 49(4). 295–301. 9 indexed citations
20.
Gilmour, Steven G., et al.. (1997). Assessment of suitable designs for field experiments involving airborne diseases. The Journal of Agricultural Science. 129(3). 249–256. 3 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Atanu Biswas Breakdown of academic impact, for papers by Angela Dean Breakdown of academic impact, for papers by A. I. Khuri Breakdown of academic impact, for papers by Siuli Mukhopadhyay Breakdown of academic impact, for papers by Scott M. Kowalski Breakdown of academic impact, for papers by Robert W. Mee Breakdown of academic impact, for papers by Agnar Höskuldsson Breakdown of academic impact, for papers by M.C. Ortiz Breakdown of academic impact, for papers by L.A. Sarabia Breakdown of academic impact, for papers by Verónica Czitrom
Rankless by CCL
2026