Error Detection In Counting

Error Detection in Counting is a cognitive construct in numeracy development that identifies the ability to recognize and correct inaccuracies in one-to-one correspondence, cardinality, or sequence during counting tasks.

19

Publications

782

Citations

49

Authors

20

Institutions

Publications per year

2017–2026

1

Authors

49

  1. JP
    Jill Porter

    University of Birmingham, United Kingdom

    2 publications · 24 citations

    2

    h-index

  2. SA
    Scott A. Annin

    California State University, Fullerton, United States

    1 publications · 29 citations

    1

    h-index

  3. LC
    Liliana Caycho

    The University of Queensland, Australia

    1 publications · 71 citations

    1

    h-index

  4. PG
    Pat Gunn

    The University of Queensland, Australia

    1 publications · 71 citations

    1

    h-index

  5. DB
    Damon Berridge

    Lancaster University, United Kingdom

    1 publications · 20 citations

    1

    h-index

1–5 of 49

Venues

  1. CentAUR (University of Reading)

    Repository · 1 publications · 13 citations

    1

    h-index

  2. arXiv (Cornell University)

    Repository · 1 publications · 22 citations

    1

    h-index

  3. Journal of Applied Remote Sensing

    JARS · 1 publications · 14 citations

    1

    h-index

  4. 1

    h-index

  5. Journal of Food Protection

    1 publications · 13 citations

    1

    h-index

1–5