Gregory J. Zelinsky

5.8k total citations
97 papers, 4.2k citations indexed

About

Gregory J. Zelinsky is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Human-Computer Interaction. According to data from OpenAlex, Gregory J. Zelinsky has authored 97 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Cognitive Neuroscience, 59 papers in Computer Vision and Pattern Recognition and 31 papers in Human-Computer Interaction. Recurrent topics in Gregory J. Zelinsky's work include Visual Attention and Saliency Detection (53 papers), Visual perception and processing mechanisms (44 papers) and Neural and Behavioral Psychology Studies (32 papers). Gregory J. Zelinsky is often cited by papers focused on Visual Attention and Saliency Detection (53 papers), Visual perception and processing mechanisms (44 papers) and Neural and Behavioral Psychology Studies (32 papers). Gregory J. Zelinsky collaborates with scholars based in United States, France and Germany. Gregory J. Zelinsky's co-authors include Mark B. Neider, David E. Irwin, Dimitris Samaras, Joseph Schmidt, Christopher A. Dickinson, Dana H. Ballard, Mary Hayhoe, Rajesh P. N. Rao, David L. Sheinberg and Xin Chen and has published in prestigious journals such as Journal of Neuroscience, Psychological Review and Scientific Reports.

In The Last Decade

Gregory J. Zelinsky

93 papers receiving 4.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gregory J. Zelinsky 3.0k 1.9k 1.1k 596 433 97 4.2k
Monica S. Castelhano 2.3k 0.8× 2.1k 1.1× 937 0.9× 391 0.7× 276 0.6× 55 3.5k
Benjamin W. Tatler 3.0k 1.0× 2.3k 1.2× 1.2k 1.1× 467 0.8× 637 1.5× 68 4.5k
Walter F. Bischof 2.2k 0.7× 853 0.4× 469 0.4× 453 0.8× 394 0.9× 146 3.5k
Boris M. Velichkovsky 1.9k 0.6× 668 0.3× 1.1k 1.0× 568 1.0× 673 1.6× 121 3.3k
Ignace T. C. Hooge 2.5k 0.9× 831 0.4× 1.6k 1.4× 700 1.2× 548 1.3× 148 4.4k
Marc Pomplun 1.4k 0.5× 1.1k 0.5× 650 0.6× 465 0.8× 306 0.7× 109 2.9k
Wolfgang Einhäuser 3.0k 1.0× 1.4k 0.7× 614 0.6× 382 0.6× 458 1.1× 108 3.9k
Ruth Rosenholtz 2.1k 0.7× 2.3k 1.2× 665 0.6× 381 0.6× 615 1.4× 93 4.5k
Kyle R. Cave 5.5k 1.9× 1.5k 0.8× 466 0.4× 1.6k 2.7× 884 2.0× 90 6.6k
Eileen Kowler 5.2k 1.8× 1.0k 0.5× 1.1k 1.0× 731 1.2× 488 1.1× 74 6.2k

Countries citing papers authored by Gregory J. Zelinsky

Since Specialization
Citations

This map shows the geographic impact of Gregory J. Zelinsky's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gregory J. Zelinsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory J. Zelinsky more than expected).

Fields of papers citing papers by Gregory J. Zelinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory J. Zelinsky. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gregory J. Zelinsky. The network helps show where Gregory J. Zelinsky may publish in the future.

Co-authorship network of co-authors of Gregory J. Zelinsky

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory J. Zelinsky. A scholar is included among the top collaborators of Gregory J. Zelinsky based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gregory J. Zelinsky. Gregory J. Zelinsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ahn, Seoyoung, et al.. (2023). A brain-inspired object-based attention network for multiobject recognition and visual reasoning. Journal of Vision. 23(5). 16–16. 5 indexed citations
2.
Zelinsky, Gregory J., et al.. (2022). Are all real‐world objects created equal? Estimating the “set‐size” of the search target in visual working memory. Psychophysiology. 59(4). e13998–e13998.
3.
Zelinsky, Gregory J., Zhibo Yang, Lihan Huang, et al.. (2019). Benchmarking Gaze Prediction for Categorical Visual Search. 828–836. 27 indexed citations
4.
Vitu, Françoise, et al.. (2016). A Model of the Superior Colliculus Predicts Fixation Locations during Scene Viewing and Visual Search. Journal of Neuroscience. 37(6). 1453–1467. 43 indexed citations
5.
Zelinsky, Gregory J. & Chen-Ping Yu. (2015). Clutter perception is invariant to image size. Vision Research. 116(Pt B). 142–151. 5 indexed citations
6.
Yu, Chen-Ping, Dimitris Samaras, & Gregory J. Zelinsky. (2014). Modeling Visual Clutter Perception using Proto-Object Segmentation. Journal of Vision. 14(10). 365–365. 2 indexed citations
7.
Yun, Kiwon, et al.. (2013). Specifying the relationships between objects, gaze, and descriptions for scene understanding. Journal of Vision. 13(9). 1309–1309. 2 indexed citations
8.
Zelinsky, Gregory J., et al.. (2013). The P300 is an electrophysiological correlate of semantic similarity. Journal of Vision. 13(9). 501–501. 1 indexed citations
9.
Zelinsky, Gregory J.. (2012). TAM: Explaining off-object fixations and central fixation tendencies as effects of population averaging during search. Visual Cognition. 20(4-5). 515–545. 21 indexed citations
10.
Alexander, Robert G. & Gregory J. Zelinsky. (2012). Effects of part-based similarity on visual search: The Frankenbear experiment. Vision Research. 54. 20–30. 44 indexed citations
11.
Schmidt, Joseph & Gregory J. Zelinsky. (2011). Visual search guidance is best after a short delay. Vision Research. 51(6). 535–545. 18 indexed citations
12.
Alexander, Robert G., Wei Zhang, & Gregory J. Zelinsky. (2010). Visual Similarity Effects in Categorical Search. eScholarship (California Digital Library). 32(32). 2 indexed citations
13.
Zelinsky, Gregory J., et al.. (2009). Visual search is guided to categorically-defined targets. Vision Research. 49(16). 2095–2103. 127 indexed citations
14.
Zhang, Wei, Dimitris Samaras, & Gregory J. Zelinsky. (2008). Classifying objects based on their visual similarity to target categories. 281(5382). 1431–1431. 3 indexed citations
15.
Neider, Mark B. & Gregory J. Zelinsky. (2006). Searching for camouflaged targets: Effects of target-background similarity on visual search. Vision Research. 46(14). 2217–2235. 68 indexed citations
16.
Chen, Xin & Gregory J. Zelinsky. (2006). Real-world visual search is dominated by top-down guidance. Vision Research. 46(24). 4118–4133. 157 indexed citations
17.
Zelinsky, Gregory J., Wei Zhang, Bing Yu, Xin Chen, & Dimitris Samaras. (2005). The Role of Top-down and Bottom-up Processes in Guiding Eye Movements during Visual Search. Neural Information Processing Systems. 1569–1576. 50 indexed citations
18.
Zhang, Wei, et al.. (2005). A Computational Model of Eye Movements during Object Class Detection. Neural Information Processing Systems. 18. 1609–1616. 23 indexed citations
19.
Zelinsky, Gregory J.. (1996). Using Eye Saccades to Assess the Selectivity of Search Movements. Vision Research. 36(14). 2177–2187. 149 indexed citations
20.
Rao, Rajesh P. N., Gregory J. Zelinsky, Mary Hayhoe, & Dana H. Ballard. (1995). Modeling Saccadic Targeting in Visual Search. Neural Information Processing Systems. 8. 830–836. 36 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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