Core Knowledge Selection

Core Knowledge Selection is a systematic academic process within content selection that identifies and prioritizes foundational contributions—such as methods, models, frameworks, theories, constructs, datasets, tasks, or metrics—based on their centrality, influence, and reusability within a research domain.

52

Publications

2.9K

Citations

110

Authors

78

Institutions

Publications per year

2017–2026

11

Authors

110

  1. LR
    Laurie R. Santos

    Yale University, United States

    3 publications · 145 citations

    3

    h-index

  2. TU
    Tomer Ullman

    Massachusetts Institute of Technology, United States

    2 publications · 104 citations

    2

    h-index

  3. SS
    Sam Stringfield

    Johns Hopkins University, United States

    2 publications · 27 citations

    2

    h-index

  4. JB
    Joshua B. Tenenbaum

    Massachusetts Institute of Technology, United States

    2 publications · 104 citations

    2

    h-index

  5. AD
    Amanda Datnow

    University of California San Diego, United States

    2 publications · 27 citations

    2

    h-index

1–5 of 110

Venues

  1. Emergency Medicine Journal

    EMJ · 2 publications · 72 citations

    2

    h-index

  2. MIS Quarterly

    2 publications · 277 citations

    2

    h-index

  3. European Journal Of Dental Education

    1 publications · 28 citations

    1

    h-index

  4. International Journal of Art & Design Education

    IJADE · 1 publications · 23 citations

    1

    h-index

  5. Journal of Real Estate Practice and Education

    1 publications · 16 citations

    1

    h-index

1–5