Surrogate Modeling

Surrogate Modeling is a computational approximation technique that belongs to the class of model reduction methods, distinguished by its construction of a simplified, computationally efficient model to emulate the input-output behavior of a complex, high-fidelity simulation or system under uncertainty.

2.7K

Publications

165.9K

Citations

6.6K

Authors

1.7K

Institutions

Publications per year

2017–2026

1.6K

Authors

6.6K

  1. YJ
    Yaochu Jin

    University of Surrey, United Kingdom

    25 publications · 5K citations

    22

    h-index

  2. BS
    Bruno Sudret

    ETH Zurich, Switzerland

    26 publications · 2.5K citations

    21

    h-index

  3. RT
    Raphael T. Haftka

    University of Florida, United States

    31 publications · 4.5K citations

    20

    h-index

  4. JB
    J.W. Bandler

    McMaster University, Canada

    24 publications · 2.1K citations

    19

    h-index

  5. KW
    Karen Willcox

    Massachusetts Institute of Technology, United States

    23 publications · 2.9K citations

    19

    h-index

1–5 of 6.6K

Venues

  1. Structural and Multidisciplinary Optimization

    95 publications · 6.7K citations

    41

    h-index

  2. AIAA Journal

    65 publications · 5.7K citations

    36

    h-index

  3. Journal of Mechanical Design

    54 publications · 3.4K citations

    31

    h-index

  4. 28

    h-index

  5. arXiv (Cornell University)

    Repository · 71 publications · 2.1K citations

    27

    h-index

1–5