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
Parents
50
Expert Chess Memory: Revisiting the Chunking Hypothesis
Fernand Gobet, Herbert A. Simon · Memory · 1998 · 314 citations
1–5 of 50
92
8
h-index
4
h-index
3
h-index
2
h-index
2
h-index
1–5 of 92
68

Cornell University
Ithaca, United States
7 h-index
11 publications
1.3K citations

University of Liverpool
Liverpool, United Kingdom
3 h-index
4 publications
328 citations
University of Sussex
Brighton, United Kingdom
2 h-index
3 publications
58 citations
The University of Tokyo
Tokyo, Japan
2 h-index
6 publications
105 citations

Vanderbilt University
Nashville, United States
2 h-index
3 publications
126 citations

Radboud University Nijmegen
Nijmegen, The Netherlands
2 h-index
2 publications
53 citations
Institute of Psychology, Chinese Academy of Sciences
Beijing, China
2 h-index
4 publications
208 citations

Edge Hill University
Ormskirk, United Kingdom
2 h-index
2 publications
27 citations
1–8 of 68
4 publications · 276 citations
4
h-index
Repository · 3 publications · 45 citations
3
h-index
2 publications · 30 citations
2
h-index
2 publications · 59 citations
2
h-index
2 publications · 54 citations
2
h-index
1–5