Design Decision Support

Design Decision Support is a computational and analytical framework within data-driven design that provides evidence-based recommendations and evaluations to assist designers in selecting optimal design alternatives by integrating empirical data, predictive models, and decision-making criteria.

1.6K

Publications

64K

Citations

3.7K

Authors

1.1K

Institutions

Publications per year

2017–2026

370

Authors

3.7K

  1. FM
    Farrokh Mistree

    Georgia Institute of Technology, United States

    49 publications · 1.9K citations

    23

    h-index

  2. JK
    Janet K. Allen

    Georgia Institute of Technology, United States

    38 publications · 1.5K citations

    20

    h-index

  3. KL
    Kemper Lewis

    University at Buffalo, State University of New York, United States

    12 publications · 484 citations

    12

    h-index

  4. TW
    Timothy W. Simpson

    Pennsylvania State University, United States

    11 publications · 492 citations

    11

    h-index

  5. PJ
    P. John Clarkson

    University of Cambridge, United Kingdom

    12 publications · 1.5K citations

    11

    h-index

1–5 of 3.7K

Venues

  1. Journal of Mechanical Design

    51 publications · 3.3K citations

    31

    h-index

  2. Advanced Engineering Informatics

    44 publications · 2.1K citations

    27

    h-index

  3. Expert Systems with Applications

    37 publications · 1.7K citations

    24

    h-index

  4. Automation in Construction

    31 publications · 1.6K citations

    23

    h-index

  5. Research in Engineering Design

    27 publications · 1.6K citations

    20

    h-index

1–5