The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Visual correlates of fixation selection: effects of scale and time
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Citations
Cites
Daugman, J. G. (1985) · Journal of the Optical Society of America A · doi:10.1364/josaa.2.001160 · Cited by 3,219
The role of attention in the programming of saccades
Kowler, E., Anderson, E., Dosher, B., & Blaser, E. (1995) · Vision Research · doi:10.1016/0042-6989(94)00279-u · Cited by 1,302
Olshausen, B., Anderson, C., & Van Essen, D. (1993) · The Journal of Neuroscience · doi:10.1523/jneurosci.13-11-04700.1993 · Cited by 908
Cited by
Harel, J., Koch, C., & Perona, P. (2007) · Advances in Neural Information Processing Systems 19 · doi:10.7551/mitpress/7503.003.0073 · Cited by 3,439
Bayesian surprise attracts human attention
Itti, L., & Baldi, P. (2009) · Vision Research · doi:10.1016/j.visres.2008.09.007 · Cited by 1,224
Saliency, attention, and visual search: An information theoretic approach
Bruce, N. D. B., & Tsotsos, J. K. (2009) · Journal of Vision · doi:10.1167/9.3.5 · Cited by 855
Eye guidance in natural vision: reinterpreting salience
Tatler, B. W., Hayhoe, M. M., Land, M. F., & Ballard, D. H. (2011) · Journal of Vision · doi:10.1167/11.5.5 · Cited by 775
Self-citationEye movements and the control of actions in everyday life
Land, M. F. (2006) · Progress in Retinal and Eye Research · doi:10.1016/j.preteyeres.2006.01.002 · Cited by 667
Task and context determine where you look
Rothkopf, C. A., Ballard, D. H., & Hayhoe, M. M. (2016) · Journal of Vision · doi:10.1167/7.14.16 · Cited by 366
Understanding Low- and High-Level Contributions to Fixation Prediction
Kummerer, M., Wallis, T. S. A., Gatys, L. A., & Bethge, M. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.513 · Cited by 282
A review of gaze entropy as a measure of visual scanning efficiency
Shiferaw, B., Downey, L., & Crewther, D. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.12.007 · Cited by 203
What's color got to do with it? The influence of color on visual attention in different categories
Frey, H. P., Honey, C., & Konig, P. (2008) · Journal of Vision · doi:10.1167/8.14.6 · Cited by 91
Get real! Resolving the debate about equivalent social stimuli
Birmingham, E., Bischof, W. F., & Kingstone, A. (2009) · Visual Cognition · doi:10.1080/13506280902758044 · Cited by 81
A new look at novelty effects: guiding search away from old distractors
Yang, H., Chen, X., & Zelinsky, G. J. (2009) · Attention, Perception & Psychophysics · doi:10.3758/app.71.3.554 · Cited by 30
Metadata
- Authors
- Tatler, B. W., Baddeley, R. J., & Gilchrist, I. D.
- Venue
- Vision Research
- Publisher
- Elsevier BV
- Published
- 2005-03
- Volume
- 45
- Issue
- 5
- Pages
- 643-659
- ISSN
- 0042-6989 (ISSN-L)
- OpenAlex
- W2119228922
- Cited by
- 700
- References
- 3
- FWCI
- 12.23
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
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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.
