Design Analytics

Design Analytics is a systematic scholarly discipline within data-driven design that employs computational methods and statistical models to analyze design processes, decisions, and outcomes, distinguishing itself by its focus on deriving actionable insights from design-related data to enhance design performance and innovation.

117

Publications

4.7K

Citations

368

Authors

160

Institutions

Publications per year

2017–2026

54

Authors

368

  1. PY
    Panos Y. Papalambros

    University of Michigan, United States

    3 publications · 64 citations

    3

    h-index

  2. MZ
    Marco Zanoni

    University of Milano-Bicocca, Italy

    2 publications · 118 citations

    2

    h-index

  3. KD
    Koen De Bosschere

    Ghent University, Belgium

    2 publications · 80 citations

    2

    h-index

  4. AS
    Alexander Schill

    Technische Universität Dresden, Germany

    2 publications · 45 citations

    2

    h-index

  5. GŚ
    Grażyna Ślusarczyk

    Jagiellonian University, Poland

    2 publications · 34 citations

    2

    h-index

1–5 of 368

Venues

  1. Journal of Mechanical Design

    6 publications · 186 citations

    6

    h-index

  2. Advanced Engineering Informatics

    4 publications · 128 citations

    4

    h-index

  3. Journal of Systems and Software

    JSS · 2 publications · 115 citations

    2

    h-index

  4. Design Science

    2 publications · 107 citations

    2

    h-index

  5. Computers & Industrial Engineering

    2 publications · 167 citations

    2

    h-index

1–5