Reusable Reference Models

Reusable Reference Models is a scholarly artifact in the form of a method, model, framework, theory, construct, dataset, task, or metric that serves as a standardized, generalizable foundation designed for repeated application, adaptation, and integration across multiple research contexts within the domain of Best Practice Reuse.

12

Publications

294

Citations

32

Authors

18

Institutions

Publications per year

2017–2026

1

Authors

32

  1. BH
    Betty H. C. Cheng

    Michigan State University, United States

    2 publications · 40 citations

    2

    h-index

  2. JM
    James M. Bieman

    Colorado State University, United States

    2 publications · 40 citations

    2

    h-index

  3. AC
    Adam C. Jensen

    Michigan State University, United States

    2 publications · 40 citations

    2

    h-index

  4. SP
    Sai Pradeep Mandalaparty

    Colorado State University, United States

    2 publications · 40 citations

    2

    h-index

  5. FB
    Freimut Bodendorf

    Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

    1 publications · 12 citations

    1

    h-index

1–5 of 32

Venues

  1. International Journal of Health Geographics

    1 publications · 13 citations

    1

    h-index

  2. Nature

    1 publications · 10 citations

    1

    h-index

  3. Information and Software Technology

    1 publications · 45 citations

    1

    h-index

  4. Medical Care

    1 publications · 50 citations

    1

    h-index

  5. ACM SIGGROUP Bulletin

    1 publications · 12 citations

    1

    h-index

1–5