Thomas Sanocki

2.4k total citations
60 papers, 1.8k citations indexed

About

Thomas Sanocki is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Thomas Sanocki has authored 60 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Cognitive Neuroscience, 19 papers in Computer Vision and Pattern Recognition and 12 papers in Experimental and Cognitive Psychology. Recurrent topics in Thomas Sanocki's work include Visual perception and processing mechanisms (26 papers), Visual Attention and Saliency Detection (11 papers) and Neural and Behavioral Psychology Studies (11 papers). Thomas Sanocki is often cited by papers focused on Visual perception and processing mechanisms (26 papers), Visual Attention and Saliency Detection (11 papers) and Neural and Behavioral Psychology Studies (11 papers). Thomas Sanocki collaborates with scholars based in United States and United Kingdom. Thomas Sanocki's co-authors include Kevin W. Bowyer, Sudeep Sarkar, Michael D. Heath, William Epstein, Arthur M. Glenberg, Craig F. Morris, Mary C. Dyson, Gregg C. Oden, Dmitry B. Goldgof and Rangachar Kasturi and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Psychological Science and Journal of Experimental Psychology Human Perception & Performance.

In The Last Decade

Thomas Sanocki

59 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thomas Sanocki United States 19 825 714 315 305 167 60 1.8k
Donald D. Hoffman United States 29 1.6k 1.9× 1.9k 2.6× 163 0.5× 356 1.2× 89 0.5× 78 3.5k
Zygmunt Pizlo United States 24 739 0.9× 935 1.3× 78 0.2× 141 0.5× 99 0.6× 126 1.9k
H. K. Nishihara Japan 16 960 1.2× 874 1.2× 135 0.4× 285 0.9× 79 0.5× 38 2.3k
Alan Chalmers United Kingdom 27 2.2k 2.7× 528 0.7× 87 0.3× 212 0.7× 285 1.7× 255 3.4k
Jeff B. Pelz United States 25 957 1.2× 1.3k 1.8× 274 0.9× 278 0.9× 58 0.3× 102 2.8k
Kurt Debattista United Kingdom 25 1.6k 2.0× 256 0.4× 56 0.2× 90 0.3× 230 1.4× 164 2.5k
Gholamreza Anbarjafari Estonia 29 1.9k 2.3× 209 0.3× 68 0.2× 541 1.8× 693 4.1× 146 3.2k
Benjamin Watson United States 22 1.0k 1.2× 373 0.5× 55 0.2× 94 0.3× 101 0.6× 93 2.3k
Dirk B. Walther Canada 23 1.9k 2.3× 1.5k 2.2× 62 0.2× 249 0.8× 152 0.9× 90 3.0k
W. A. Richards United States 14 773 0.9× 914 1.3× 89 0.3× 222 0.7× 43 0.3× 21 1.8k

Countries citing papers authored by Thomas Sanocki

Since Specialization
Citations

This map shows the geographic impact of Thomas Sanocki'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 Thomas Sanocki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Sanocki more than expected).

Fields of papers citing papers by Thomas Sanocki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Sanocki. 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 Thomas Sanocki. The network helps show where Thomas Sanocki may publish in the future.

Co-authorship network of co-authors of Thomas Sanocki

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Sanocki. A scholar is included among the top collaborators of Thomas Sanocki 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 Thomas Sanocki. Thomas Sanocki 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.
Sanocki, Thomas, et al.. (2024). Human Attention Restoration, Flow, and Creativity: A Conceptual Integration. Journal of Imaging. 10(4). 83–83. 2 indexed citations
2.
Sanocki, Thomas, et al.. (2018). Do Scene-Category Primes Facilitate Scene Perception?. Journal of Vision. 18(10). 142–142. 1 indexed citations
3.
Sanocki, Thomas, et al.. (2015). Rapid scene perception with tragic consequences: observers miss perceiving vulnerable road users, especially in crowded traffic scenes. Attention Perception & Psychophysics. 77(4). 1252–1262. 18 indexed citations
4.
Sanocki, Thomas, et al.. (2012). Complex dynamic scene perception: Effects of attentional set on perceiving single and multiple event types.. Journal of Experimental Psychology Human Perception & Performance. 39(2). 381–398. 4 indexed citations
5.
Sanocki, Thomas. (2012). Facilitatory priming of scene layout depends on experience with the scene. Psychonomic Bulletin & Review. 20(2). 274–281. 2 indexed citations
6.
Sanocki, Thomas, et al.. (2011). Top-down attentional capture by associated scenes in an object search task. Journal of Vision. 11(11). 271–271. 1 indexed citations
7.
Sanocki, Thomas, et al.. (2011). Does crowding obscure the presence of attentional guidance in contextual cueing?. Journal of Vision. 11(11). 1296–1296. 1 indexed citations
8.
Sanocki, Thomas & Mary C. Dyson. (2011). Letter processing and font information during reading: Beyond distinctiveness, where vision meets design. Attention Perception & Psychophysics. 74(1). 132–145. 30 indexed citations
9.
Sanocki, Thomas, et al.. (2010). How high is visual short-term memory capacity for object layout?. Attention Perception & Psychophysics. 72(4). 1097–1109. 7 indexed citations
10.
Sanocki, Thomas, et al.. (2009). Priming of simple and complex scene layout: Rapid function from the intermediate level.. Journal of Experimental Psychology Human Perception & Performance. 35(3). 735–749. 12 indexed citations
11.
Sanocki, Thomas, et al.. (2006). Representations of scene layout can consist of independent, functional pieces. Perception & Psychophysics. 68(3). 415–427. 13 indexed citations
12.
Sanocki, Thomas. (2003). Representation and perception of scenic layout. Cognitive Psychology. 47(1). 43–86. 57 indexed citations
13.
Sanocki, Thomas. (2003). Representation and perception of spatial layout. 47. 43. 12 indexed citations
14.
Sanocki, Thomas. (2001). Student-Friendly Statistics. Digital Commons - University of South Florida (University of South Florida). 4 indexed citations
15.
Sanocki, Thomas & Eric W. Sellers. (2001). Shifting resources to recognize a forming object: Dependencies involving object properties. Visual Cognition. 8(2). 197–235. 3 indexed citations
16.
Sanocki, Thomas. (1993). Time course of object identification: Evidence for a global-to-local contingency.. Journal of Experimental Psychology Human Perception & Performance. 19(4). 878–898. 59 indexed citations
17.
Sanocki, Thomas & Gregg C. Oden. (1991). Perceptual adjustments on representations of familiar patterns: Change over time and relational features. Perception & Psychophysics. 50(1). 28–44. 5 indexed citations
18.
Sanocki, Thomas. (1991). Intra- and interpattern relations in letter recognition.. Journal of Experimental Psychology Human Perception & Performance. 17(4). 924–941. 21 indexed citations
19.
Sanocki, Thomas. (1991). Looking for a Structural Network: Effects of Changing Size and Style on Letter Recognition. Perception. 20(4). 529–541. 15 indexed citations
20.
Sanocki, Thomas. (1988). Font regularity constraints on the process of letter recognition.. Journal of Experimental Psychology Human Perception & Performance. 14(3). 472–480. 40 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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