The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Visual search for colour targets that are or are not linearly separable from distractors
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
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
Cited by
What attributes guide the deployment of visual attention and how do they do it?
Wolfe, J. M., & Horowitz, T. S. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1411 · Cited by 1,766
Guided 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
An instance theory of attention and memory.
Logan, G. D. (2002) · Psychological Review · doi:10.1037/0033-295x.109.2.376 · Cited by 467
An Integrated Model of Top-Down and Bottom-Up Attention for Optimizing Detection Speed
Navalpakkam, V., & Itti, L. (2006) · 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06) · doi:10.1109/cvpr.2006.54 · Cited by 369
Search Goal Tunes Visual Features Optimally
Navalpakkam, V., & Itti, L. (2007) · Neuron · doi:10.1016/j.neuron.2007.01.018 · Cited by 331
Metadata
- Authors
- Bauer, B., Jolicoeur, P., & Cowan, W. B.
- Venue
- Vision Research
- Publisher
- Elsevier BV
- Published
- 1996-05
- Volume
- 36
- Issue
- 10
- Pages
- 1439-1466
- ISSN
- 0042-6989 (ISSN-L)
- OpenAlex
- W2089557617
- Cited by
- 184
- References
- 1
- FWCI
- 3.20
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Visual search for colour targets that are or are not linearly separable from distractors. https://app.cochat.ai/papers/10.1016/0042-6989(95)00207-3
- The paper
- Bauer, B., Jolicoeur, P., & Cowan, W. B. (1996). Visual search for colour targets that are or are not linearly separable from distractors. Vision Research. https://doi.org/10.1016/0042-6989(95)00207-3
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.