Knowledge-based Reuse

Knowledge-Based Reuse is a scholarly contribution that involves the systematic application of previously established knowledge artifacts—such as methods, models, frameworks, theories, constructs, datasets, tasks, or metrics—within a new research context to enhance validity, efficiency, or comparability in scientific inquiry.

63

Publications

3.9K

Citations

164

Authors

70

Institutions

Publications per year

2017–2026

4

Authors

164

  1. AS
    Alistair Sutcliffe

    University of Manchester, United Kingdom

    3 publications · 68 citations

    3

    h-index

  2. JG
    James Gao

    University of Greenwich, United Kingdom

    3 publications · 218 citations

    3

    h-index

  3. RF
    Renate Fruchter

    Stanford University, United States

    3 publications · 116 citations

    3

    h-index

  4. AC
    Azeddine Chikh

    King Saud University, Saudi Arabia

    2 publications · 38 citations

    2

    h-index

  5. CA
    Chimay Anumba

    Pennsylvania State University, United States

    2 publications · 157 citations

    2

    h-index

1–5 of 164

Venues

  1. Information & Management

    4 publications · 198 citations

    4

    h-index

  2. Behaviour and Information Technology

    2 publications · 37 citations

    2

    h-index

  3. Robotics and Computer-Integrated Manufacturing

    2 publications · 161 citations

    2

    h-index

  4. Research in Engineering Design

    2 publications · 95 citations

    2

    h-index

  5. Knowledge-Based Systems

    2 publications · 103 citations

    2

    h-index

1–5