Chunking In Input

Chunking in Input is a cognitive processing strategy within the field of input processing that involves the grouping of discrete pieces of linguistic information into larger, more manageable units to facilitate comprehension and retention.

50

Publications

3.2K

Citations

92

Authors

68

Institutions

Publications per year

2017–2026

12

Authors

92

  1. MH
    Morten H. Christiansen

    Cornell University, United States

    8 publications · 1.1K citations

    8

    h-index

  2. SM
    Stewart M. McCauley

    Cornell University, United States

    4 publications · 266 citations

    4

    h-index

  3. ES
    Erin S. Isbilen

    Cornell University, United States

    3 publications · 73 citations

    3

    h-index

  4. MY
    Motonori Yamaguchi

    Edge Hill University, United Kingdom

    2 publications · 70 citations

    2

    h-index

  5. HS
    H. S. Terrace

    Columbia University, United States

    2 publications · 54 citations

    2

    h-index

1–5 of 92

Venues

  1. 4

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  2. eScholarship (California Digital Library)

    Repository · 3 publications · 45 citations

    3

    h-index

  3. Psychological Research

    2 publications · 30 citations

    2

    h-index

  4. Memory & Cognition

    2 publications · 59 citations

    2

    h-index

  5. 2

    h-index

1–5