Counting As Comparison

Counting As Comparison is a methodological framework within set comparison that uses cardinality-based analysis to establish equivalence or disparity between sets by treating the count of elements as a primary metric of relational inference.

2

Publications

155

Citations

5

Authors

2

Institutions

Publications per year

2017–2026

0

Authors

5

  1. XZ
    Xin Zhou

    East China Normal University, China

    1 publications · 14 citations

    1

    h-index

  2. TB
    Tim B. Hunter

    University of Arizona, United States

    1 publications · 141 citations

    1

    h-index

  3. JH
    Justin Halberda

    Johns Hopkins University, United States

    1 publications · 141 citations

    1

    h-index

  4. PM
    Paul M. Pietroski

    University of Maryland, College Park, United States

    1 publications · 141 citations

    1

    h-index

  5. JL
    Jeffrey Lidz

    University of Maryland, College Park, United States

    1 publications · 141 citations

    1

    h-index

1–5 of 5

Institutions

2

  1. Johns Hopkins University

    Baltimore, United States

    1 h-index

    4 publications

    564 citations

  2. East China Normal University

    Shanghai, China

    1 h-index

    1 publications

    14 citations

1–2 of 2

Venues

  1. Mind & Language

    1 publications · 141 citations

    1

    h-index

  2. Early Child Development and Care

    ECDC · 1 publications · 14 citations

    1

    h-index

1–2