Cited by 746Reading and Literacy DevelopmentVisual perception and processing mechanismsNeurobiology of Language and Bilingualism

Processes in word recognition

Wheeler, Daniel D·1970·Cognitive Psychology

Integrity signals

Registry

Crossref · 10.1016/0010-0285(70)90005-8

Cites

19 of 19 references verified0 citation errors · 0 not checkable

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  • Letters are perceived more accurately when presented as part of a word than in isolation (the Word superiority effect).

    “Thus, letters are also perceived more accurately when presented as part of a word than when presented in isolation, i.e. the Word superiority effect, (e.g. Reicher, 1969; Wheeler, 1970).”

    From Human- versus Artificial Intelligence (2021) · cites this paper as Wheeler, 1970

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Authors
Wheeler, D. D.
Affiliations
University of Michigan (US)
Corresponding author
Wheeler, Daniel D
Venue
Cognitive Psychology
Publisher
Elsevier BV
Published
1970-01
Volume
1
Issue
1
Pages
59-85
ISSN
0010-0285 (ISSN-L)
OpenAlex
W2016209847
Cited by
746
References
19
Citations by year
2026: 7 · 2025: 14 · 2024: 9 · 2023: 14 · 2022: 21 · 2021: 18 · 2020: 12 · 2019: 22 · 2018: 13 · 2017: 14 · 2016: 10 · 2015: 16 · 2014: 17 · 2013: 21 · 2012: 24
FWCI
24.20
Type
journal article
Language
en
Open access
closed
Locations
  • Cognitive Psychology (publishedVersion)
  • Deep Blue (University of Michigan) (acceptedVersion)
Topics
  • Social Sciences › Psychology › Developmental and Educational Psychology › Reading and Literacy Development
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
Keywords
word recognition, letter recognition, context effects, meaningful words, feature extraction, visual word processing

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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