Multi-objective Response Surface Analysis

Multi-Objective Response Surface Analysis is a statistical optimization framework that extends classical response surface methodology by simultaneously modeling and optimizing multiple conflicting response variables through the construction of empirical response surfaces and the identification of Pareto-optimal solutions.

225

Publications

25.7K

Citations

781

Authors

355

Institutions

Publications per year

2017–2026

94

Authors

781

  1. RL
    Rubén Lostado-Lorza

    Universidad de La Rioja, Spain

    4 publications · 173 citations

    4

    h-index

  2. TH
    Taha‐Hossein Hejazi

    Amirkabir University of Technology, Iran

    3 publications · 99 citations

    3

    h-index

  3. DC
    Douglas C. Montgomery

    Arizona State University, United States

    3 publications · 9.7K citations

    3

    h-index

  4. RE
    Rubén Escribano-García

    Universidad de La Rioja, Spain

    3 publications · 148 citations

    3

    h-index

  5. JK
    J.P.C. Kleijnen

    Tilburg University, Netherlands

    3 publications · 304 citations

    3

    h-index

1–5 of 781

Venues

  1. 7

    h-index

  2. Journal of Quality Technology

    6 publications · 850 citations

    6

    h-index

  3. Energy Conversion and Management

    6 publications · 460 citations

    6

    h-index

  4. European Journal of Operational Research

    4 publications · 294 citations

    4

    h-index

  5. Analytica Chimica Acta

    3 publications · 100 citations

    3

    h-index

1–5