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

Authors

24.9K

  1. RH
    Raymond H. Myers

    Virginia Tech, United States

    25 publications · 13.2K citations

    20

    h-index

  2. NR
    Norman R. Draper

    University of Wisconsin–Madison, United States

    19 publications · 8.2K citations

    17

    h-index

  3. CP
    Chin Ping Tan

    Universiti Putra Malaysia, Malaysia

    19 publications · 934 citations

    17

    h-index

  4. AG
    Ahad Ghaemi

    Iran University of Science and Technology, Iran

    16 publications · 862 citations

    16

    h-index

  5. LG
    Long Giang Bạch

    Trường ĐH Nguyễn Tất Thành, Vietnam

    14 publications · 765 citations

    13

    h-index

1–5 of 24.9K

Venues

  1. Bioresource Technology

    85 publications · 7.9K citations

    53

    h-index

  2. Food Chemistry

    74 publications · 7.2K citations

    49

    h-index

  3. Industrial Crops and Products

    76 publications · 5K citations

    46

    h-index

  4. LWT

    84 publications · 4.7K citations

    44

    h-index

  5. Carbohydrate Polymers

    53 publications · 4.4K citations

    41

    h-index

1–5