The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Clustering of Gaze During Dynamic Scene Viewing is Predicted by Motion
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Citations
Cites
Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex
Hubel, D. H., & Wiesel, T. N. (1962) · The Journal of Physiology · doi:10.1113/jphysiol.1962.sp006837 · Cited by 13,680
A Combined Corner and Edge Detector
Harris, C., & Stephens, M. (1988) · Procedings of the Alvey Vision Conference 1988 · doi:10.5244/c.2.23 · Cited by 12,901
Computational modelling of visual attention
Itti, L., & Koch, C. (2001) · Nature Reviews Neuroscience · doi:10.1038/35058500 · Cited by 4,733
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 · cited 2×
“static visual arrays and scenes have received a lot of attention (see [3, 4] for reviews), but very little is known about how we”
BackgroundFrom eye movements to actions: how batsmen hit the ball
Land, M. F., & McLeod, P. (2000) · Nature Neuroscience · doi:10.1038/81887 · Cited by 725
Summation and Division by Neurons in Primate Visual Cortex
Carandini, M., & Heeger, D. J. (1994) · Science · doi:10.1126/science.8191289 · Cited by 649 · cited 1×
“Such normalization of feature values is supported by neurobiological evidence of the non-linear single-cell behavior in the primary visual cortex [70].”
MethodAbrupt luminance change pops out; abrupt color change does not
Theeuwes, J. (1995) · Perception & Psychophysics · doi:10.3758/bf03213269 · Cited by 172
Cited by
Revisiting Video Saliency: A Large-Scale Benchmark and a New Model
Wang, W., Shen, J., Guo, F., Cheng, M.-M., & Borji, A. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00514 · Cited by 268
Wass, S. V., Smith, T. J., & Johnson, M. H. (2013) · Behavior Research Methods · doi:10.3758/s13428-012-0245-6 · Cited by 154
Self-citationWass, S. V., & Smith, T. J. (2014) · Infancy · doi:10.1111/infa.12049 · Cited by 83
Self-citationWilliams, L. H., & Drew, T. (2019) · Cognitive Research: Principles and Implications · doi:10.1186/s41235-019-0171-6 · Cited by 48
Shot scale matters: The effect of close-up frequency on mental state attribution in film viewers
Bálint, K. E., Blessing, J. N., & Rooney, B. (2020) · Poetics · doi:10.1016/j.poetic.2020.101480 · Cited by 48
Metadata
- Authors
- Mital, P. K., Smith, T. J., Hill, R. L., & Henderson, J. M.
- Venue
- Cognitive Computation
- Published
- 2010-10-22
- Volume
- 3
- Issue
- 1
- Pages
- 5-24
- ISSN
- 1866-9956 (ISSN-L)
- 1866-9964
- OpenAlex
- W2119577735
- Cited by
- 468
- References
- 7
- FWCI
- 19.53
- Type
- journal article
- Language
- en
- Open access
- closed
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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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- CoChat. (2026). Citation check: Clustering of Gaze During Dynamic Scene Viewing is Predicted by Motion. https://app.cochat.ai/papers/10.1007/s12559-010-9074-z
- The paper
- Mital, P. K., Smith, T. J., Hill, R. L., & Henderson, J. M. (2011). Clustering of Gaze During Dynamic Scene Viewing is Predicted by Motion. Cognitive Computation. https://doi.org/10.1007/s12559-010-9074-z
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.