Response Surface Methodology
Response Surface Methodology is a statistical and mathematical technique used for modeling and analyzing the relationship between a set of independent variables and a response variable, distinguished by its focus on optimizing process and product design through the construction of empirical response surfaces.
8K
Publications
383.1K
Citations
24.9K
Authors
4K
Institutions
Publications per year
2017–2026
4K
Variants
Rsm
Parents
8K
Applied Linear Statistical Models.
Frederick O. Lorenz, John Neter, William Wasserman et al. · Journal of the American Statistical Association · 1986 · 5.7K citations
Empirical Model Building and Response Surfaces
Anne E. Freeny, George E. P. Box, Norman R. Draper · Technometrics · 1988 · 5.1K citations
Computer Aided Design of Experiments
R. W. Kennard, L. A. Stone · Technometrics · 1969 · 3.4K citations
1–5 of 8K
24.9K
20
h-index
17
h-index
17
h-index
16
h-index
13
h-index
1–5 of 24.9K
4K

Universiti Sains Malaysia
George Town, Malaysia
47 h-index
329 publications
19.4K citations

University of Tehran
Tehran, Iran
43 h-index
250 publications
13.2K citations
Universiti Putra Malaysia
Seri Kembangan, Malaysia
42 h-index
506 publications
23.1K citations

Universiti Teknologi Petronas
Ipoh, Malaysia
40 h-index
312 publications
15.2K citations

Tehran University of Medical Sciences
Tehran, Iran
35 h-index
116 publications
6.2K citations
University of Technology Malaysia
Johor Bahru, Malaysia
34 h-index
238 publications
11K citations
Amirkabir University of Technology
Tehran, Iran
32 h-index
165 publications
8.3K citations

Tarbiat Modares University
Tehran, Iran
32 h-index
129 publications
9K citations
1–8 of 4K
85 publications · 7.9K citations
53
h-index
74 publications · 7.2K citations
49
h-index
76 publications · 5K citations
46
h-index
84 publications · 4.7K citations
44
h-index
53 publications · 4.4K citations
41
h-index
1–5