The DOI matches its Crossref record.
Familiarity of Letter Sequences and Tachistoscopic Identification
Abstract
(1954). Familiarity of Letter Sequences and Tachistoscopic Identification. The Journal of General Psychology: Vol. 50, No. 1, pp. 129-139.
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Citations
Cited by
Friendly, M., Franklin, P. E., Hoffman, D., & Rubin, D. C. (1982) · Behavior Research Methods & Instrumentation · doi:10.3758/bf03203275 · Cited by 351
Tuning of the human left fusiform gyrus to sublexical orthographic structure
Binder, J. R., Medler, D. A., Westbury, C. F., Liebenthal, E., & Buchanan, L. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.06.053 · Cited by 286
A Parametric Approach to Orthographic Processing in the Brain: An fMRI Study
Tagamets, M. A., Novick, J. M., Chalmers, M. L., & Friedman, R. B. (2000) · Journal of Cognitive Neuroscience · doi:10.1162/089892900562101 · Cited by 224
Familiarity Effects in Visual Information Processing
Krueger, L. E. (1975) · Psychological Bulletin · doi:10.1037/0033-2909.82.6.949 · Cited by 113
Metadata
- Authors
- Miller, G. A., Bruner, J. S., & Postman, L.
- Venue
- The Journal of General Psychology
- Publisher
- Informa UK Limited
- Published
- 1954-01
- Volume
- 50
- Issue
- 1
- Pages
- 129-139
- ISSN
- 0022-1309 (ISSN-L)
- 1940-0888
- OpenAlex
- W2155018458
- Cited by
- 240
- References
- 0
- FWCI
- 17.56
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: Familiarity of Letter Sequences and Tachistoscopic Identification. https://app.cochat.ai/papers/10.1080/00221309.1954.9710109
- The paper
- Miller, G. A., Bruner, J. S., & Postman, L. (1954). Familiarity of Letter Sequences and Tachistoscopic Identification. The Journal of General Psychology. https://doi.org/10.1080/00221309.1954.9710109
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.
