articleTop 1% cited
Response Surface Methodology: Process and Product Optimization Using Designed Experiments
Technometrics · 1996 · Vol. 38(3) · pp. 284–286
Richard F. Gunst✉(Southern Methodist University)
Optimal Experimental Design MethodsResponse surface methodologyProcess (computing)Product (mathematics)Computer scienceProcess engineeringMathematicsEngineeringMachine learningProgramming language
Citations
3,288
FWCI
17.31
field-weighted impact
References
1
Percentile
100%
vs. same field & year
Citations per year
Cited by
Two-echelon multiple-vehicle location–routing problem with time windows for optimization of sustainable supply chain network of perishable food
International Journal of Production Economics · 2014 · 629 citations
Current scenario and challenges in adsorption for water treatment
Journal of environmental chemical engineering · 2020 · 466 citations
Kriging Models for Global Approximation in Simulation-Based Multidisciplinary Design Optimization
AIAA Journal · 2001 · 1,030 citations
Review on the new development of vibration-based damage identification for civil engineering structures: 2010–2019
Journal of Sound and Vibration · 2020 · 622 citations
Modeling and optimization I: Usability of response surface methodology
Journal of Food Engineering · 2006 · 2,074 citations
Bioconversion of hybrid poplar to ethanol and co‐products using an organosolv fractionation process: Optimization of process yields
Biotechnology and Bioengineering · 2006 · 448 citations
References
Statistics for Experimenters
Technometrics · 1979 · 6,534 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.
