The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Information representation in visual images
Overview
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Citations
Cites
Understanding natural language
Winograd, T. (1972) · Cognitive Psychology · doi:10.1016/0010-0285(72)90002-3 · Cited by 2,799
The language-as-fixed-effect fallacy: A critique of language statistics in psychological research
Clark, H. H. (1973) · Journal of Verbal Learning and Verbal Behavior · doi:10.1016/s0022-5371(73)80014-3 · Cited by 2,222
What the Mind’s Eye Tells the Mind’s Brain: A Critique of Mental Imagery
Pylyshyn, Z. W. (1973) · Images, Perception, and Knowledge · doi:10.1007/978-94-010-1193-8_1 · Cited by 1,342
(1973) · Elsevier eBooks · doi:10.1016/c2013-0-10487-4 · Cited by 1,197
What the mind's eye tells the mind's brain: A critique of mental imagery.
Pylyshyn, Z. W. (1973) · Psychological Bulletin · doi:10.1037/h0034650 · Cited by 1,191
Cognition in Learning and Memory
Hunt, E., & Gregg, L. W. (1974) · The American Journal of Psychology · doi:10.2307/1422026 · Cited by 496
FRAME REPRESENTATIONS AND THE DECLARATIVE/PROCEDURAL CONTROVERSY
Winograd, T. (1975) · Representation and Understanding · doi:10.1016/b978-0-12-108550-6.50012-4 · Cited by 490
Structural descriptions and the limitations of visual images*
Reed, S. K. (1974) · Memory & Cognition · doi:10.3758/bf03209004 · Cited by 156
Visual imagery for words: The Hebb Test.
Weber, R. J., & Harnish, R. (1974) · Journal of Experimental Psychology · doi:10.1037/h0035868 · Cited by 94
Cited by
Are Product Attribute Beliefs the Only Mediator of Advertising Effects on Brand Attitude?
Mitchell, A. A., & Olson, J. C. (1981) · Journal of Marketing Research · doi:10.2307/3150973 · Cited by 1,472
So you think gestures are nonverbal?
McNeill, D. M. (1985) · Psychological Review · doi:10.1037//0033-295x.92.3.350 · Cited by 1,204
A theory of implicit and explicit knowledge
Dienes, Z., & Perner, J. (1999) · Behavioral and Brain Sciences · doi:10.1017/s0140525x99002186 · Cited by 672
Shepard, R. N. (1978) · American Psychologist · doi:10.1037//0003-066x.33.2.125 · Cited by 668
Visual Mental Imagery Activates Topographically Organized Visual Cortex: PET Investigations
Kosslyn, S. M., Alpert, N. M., Thompson, W. L., Maljkovic, V., Weise, S. B., Chabris, C. F., Hamilton, S. E., Rauch, S. L., & Buonanno, F. S. (1993) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1993.5.3.263 · Cited by 641
Self-citation
Metadata
- Authors
- Kosslyn, S. M.
- Venue
- Cognitive Psychology
- Publisher
- Elsevier BV
- Published
- 1975-07
- Volume
- 7
- Issue
- 3
- Pages
- 341-370
- ISSN
- 0010-0285 (ISSN-L)
- OpenAlex
- W2090142883
- Cited by
- 554
- References
- 9
- FWCI
- 12.45
- Type
- journal article
- Language
- en
- Open access
- closed
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Information representation in visual images. https://app.cochat.ai/papers/10.1016/0010-0285(75)90015-8
- The paper
- Kosslyn, S. M. (1975). Information representation in visual images. Cognitive Psychology. https://doi.org/10.1016/0010-0285(75)90015-8
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
