The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
The role of attention in different visual-search tasks
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A feature-integration theory of attention.
Treisman, A. M., & Gelade, G. (1980) · Cognitive Psychology · doi:10.1016/0010-0285(80)90005-5 · Cited by 12,366
Posner, M. I. (1980) · Quarterly Journal of Experimental Psychology · doi:10.1080/00335558008248231 · Cited by 9,670
Controlled and automatic human information processing: I. Detection, search, and attention.
Schneider, W., & Shiffrin, R. M. (1977) · Psychological Review · doi:10.1037/0033-295x.84.1.1 · Cited by 5,902
Shifts in Selective Visual Attention: Towards the Underlying Neural Circuitry
Koch, C., & Ullman, S. (1987) · Matters of Intelligence · doi:10.1007/978-94-009-3833-5_5 · Cited by 3,722
Visual search and stimulus similarity.
Duncan, J., & Humphreys, G. W. (1989) · Psychological Review · doi:10.1037/0033-295x.96.3.433 · Cited by 3,563
Guided search: An alternative to the feature integration model for visual search.
Wolfe, J. M., Cave, K. R., & Franzel, S. L. (1989) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037//0096-1523.15.3.419 · Cited by 2,147
Visual attention within and around the field of focal attention: A zoom lens model
Eriksen, C. W., & St. James, J. D. (1986) · Perception & Psychophysics · doi:10.3758/bf03211502 · Cited by 1,907
Features and Objects: The Fourteenth Bartlett Memorial Lecture
Treisman, A. (1988) · The Quarterly Journal of Experimental Psychology Section A · doi:10.1080/02724988843000104 · Cited by 1,755
Abrupt visual onsets and selective attention: Evidence from visual search.
Yantis, S., & Jonides, J. J. (1984) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037//0096-1523.10.5.601 · Cited by 1,611
Angelucci (2002) · doi:10.1146/annurev.ne.08.030185.002203 · Cited by 1,170
Cited by
Contextual Cueing: Implicit Learning and Memory of Visual Context Guides Spatial Attention
Chun, M. M., & Jiang, Y. (1998) · Cognitive Psychology · doi:10.1006/cogp.1998.0681 · Cited by 1,959
VISUAL ATTENTION: Control, Representation, and Time Course
Egeth, H. E., & Yantis, S. (1997) · Annual Review of Psychology · doi:10.1146/annurev.psych.48.1.269 · Cited by 1,284
Priming of pop-out: I. Role of features
Maljkovic, V., & Nakayama, K. (1994) · Memory & Cognition · doi:10.3758/bf03209251 · Cited by 1,107
Self-citationGuided Search 6.0: an updated model of visual search
Wolfe, J. M. (2021) · Psychonomic Bulletin & Review · doi:10.3758/s13423-020-01859-9 · Cited by 703
Wolfe, J. M., Butcher, S. J., Lee, C., & Hyle, M. (2003) · Journal of Experimental Psychology: Human Perception and Performance · doi:10.1037/0096-1523.29.2.483 · Cited by 490
Modulation of Neuronal Activity in Superior Colliculus by Changes in Target Probability
Basso, M. A., & Wurtz, R. H. (1998) · The Journal of Neuroscience · doi:10.1523/jneurosci.18-18-07519.1998 · Cited by 474
Saccade Target Selection During Visual Search
FINDLAY, J. M. (1997) · Vision Research · doi:10.1016/s0042-6989(96)00218-0 · Cited by 356
The N2pc component and its links to attention shifts and spatially selective visual processing
Kiss, M., Van Velzen, J., & Eimer, M. (2008) · Psychophysiology · doi:10.1111/j.1469-8986.2007.00611.x · Cited by 306
Kiss, M., Driver, J., & Eimer, M. (2009) · Psychological Science · doi:10.1111/j.1467-9280.2009.02281.x · Cited by 267
Priming of popout: III. A short-term implicit memory system beneficial for rapid target selection
Maljkovic, V., & Nakayama, K. (2000) · Visual Cognition · doi:10.1080/135062800407202 · Cited by 244
Self-citationKristjansson, A., Sigurjonsdottir, O., & Driver, J. (2010) · Attention, Perception & Psychophysics · doi:10.3758/app.72.5.1229 · Cited by 137
Incremental grouping of image elements in vision
Roelfsema, P. R., & Houtkamp, R. (2011) · Attention, Perception, & Psychophysics · doi:10.3758/s13414-011-0200-0 · Cited by 112
Properties of Saccadic Responses in Monkey When Multiple Competing Visual Stimuli Are Present
Arai, K., McPeek, R. M., & Keller, E. L. (2004) · Journal of Neurophysiology · doi:10.1152/jn.00818.2003 · Cited by 62
Nakayama, K., Moher, J., & Song, J.-H. (2023) · Annual Review of Psychology · doi:10.1146/annurev-psych-021422-043229 · Cited by 21
Self-citation
Metadata
- Authors
- Bravo, M. J., & Nakayama, K.
- Venue
- Perception & Psychophysics
- Published
- 1992-09
- Volume
- 51
- Issue
- 5
- Pages
- 465-472
- ISSN
- 0031-5117 (ISSN-L)
- 1532-5962
- OpenAlex
- W2137607493
- Cited by
- 401
- References
- 26
- FWCI
- 2.22
- Type
- journal article
- Language
- en
- Open access
- bronze
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
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.
