Timothy J. Vickery

939 total citations
30 papers, 647 citations indexed

About

Timothy J. Vickery is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Timothy J. Vickery has authored 30 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cognitive Neuroscience, 12 papers in Experimental and Cognitive Psychology and 6 papers in Social Psychology. Recurrent topics in Timothy J. Vickery's work include Visual perception and processing mechanisms (14 papers), Neural and Behavioral Psychology Studies (12 papers) and Multisensory perception and integration (7 papers). Timothy J. Vickery is often cited by papers focused on Visual perception and processing mechanisms (14 papers), Neural and Behavioral Psychology Studies (12 papers) and Multisensory perception and integration (7 papers). Timothy J. Vickery collaborates with scholars based in United States and Canada. Timothy J. Vickery's co-authors include Yuhong Jiang, Marvin M. Chun, Daeyeol Lee, Rachel S. Sussman, L. Gauthier, Valerie M. Beck, Alan C.‐N. Wong, Jennifer J. Richler, Andrew J. Tomarken and David L. Sheinberg and has published in prestigious journals such as Neuron, Psychological Review and Psychological Science.

In The Last Decade

Timothy J. Vickery

28 papers receiving 632 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timothy J. Vickery United States 12 540 163 93 88 54 30 647
Miranda Scolari United States 10 730 1.4× 115 0.7× 74 0.8× 61 0.7× 38 0.7× 22 799
Naseem Al-Aidroos Canada 18 913 1.7× 236 1.4× 137 1.5× 56 0.6× 77 1.4× 44 1.0k
Markus Conci Germany 21 934 1.7× 195 1.2× 92 1.0× 125 1.4× 38 0.7× 64 1.0k
Ramakrishna Chakravarthi United Kingdom 15 670 1.2× 111 0.7× 74 0.8× 89 1.0× 25 0.5× 40 743
Judith M. Shedden Canada 16 643 1.2× 243 1.5× 78 0.8× 54 0.6× 101 1.9× 38 812
Elisa Santandrea Italy 11 865 1.6× 178 1.1× 82 0.9× 50 0.6× 35 0.6× 29 942
Roos Houtkamp Netherlands 7 833 1.5× 154 0.9× 113 1.2× 85 1.0× 23 0.4× 9 883
Dirk van Moorselaar Netherlands 16 971 1.8× 201 1.2× 126 1.4× 37 0.4× 43 0.8× 50 1.1k
Lucie Charles United Kingdom 10 814 1.5× 134 0.8× 102 1.1× 47 0.5× 33 0.6× 20 905
Min‐Shik Kim South Korea 9 745 1.4× 208 1.3× 132 1.4× 69 0.8× 40 0.7× 15 833

Countries citing papers authored by Timothy J. Vickery

Since Specialization
Citations

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

Fields of papers citing papers by Timothy J. Vickery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy J. Vickery. 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 Timothy J. Vickery. The network helps show where Timothy J. Vickery may publish in the future.

Co-authorship network of co-authors of Timothy J. Vickery

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy J. Vickery. A scholar is included among the top collaborators of Timothy J. Vickery 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 Timothy J. Vickery. Timothy J. Vickery 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.
Vickery, Timothy J., et al.. (2021). Visual statistical learning is modulated by arbitrary and natural categories. Psychonomic Bulletin & Review. 28(4). 1281–1288. 5 indexed citations
2.
Johnson, Matthew R., et al.. (2021). Reward impacts visual statistical learning. Cognitive Affective & Behavioral Neuroscience. 21(6). 1176–1195. 3 indexed citations
3.
Zosky, Joshua, et al.. (2020). Object-based warping in three-dimensional environments. Journal of Vision. 20(6). 16–16. 2 indexed citations
4.
Beck, Valerie M. & Timothy J. Vickery. (2019). Multiple states in visual working memory: Evidence from oculomotor capture by memory-matching distractors. Psychonomic Bulletin & Review. 26(4). 1340–1346. 6 indexed citations
5.
Richler, Jennifer J., Andrew J. Tomarken, Timothy J. Vickery, et al.. (2019). Individual differences in object recognition.. Psychological Review. 126(2). 226–251. 41 indexed citations
6.
Vickery, Timothy J., et al.. (2018). Target self-relevance speeds visual search responses but does not improve search efficiency. Visual Cognition. 26(8). 563–582. 22 indexed citations
7.
Vickery, Timothy J., et al.. (2018). The roles of order, distance, and interstitial items in temporal visual statistical learning. Attention Perception & Psychophysics. 80(6). 1409–1419. 4 indexed citations
8.
Beck, Valerie M. & Timothy J. Vickery. (2018). Oculomotor capture reveals trial-by-trial neural correlates of attentional guidance by contents of visual working memory. Cortex. 122. 159–169. 5 indexed citations
9.
Vickery, Timothy J., et al.. (2017). Self-relevance effects and label choice: Strong variations in label-matching performance due to non-self-relevant factors. Attention Perception & Psychophysics. 79(5). 1524–1534. 23 indexed citations
10.
Vickery, Timothy J., et al.. (2017). Associating resting-state connectivity with trait impulsivity. Social Cognitive and Affective Neuroscience. 12(6). 1001–1008. 28 indexed citations
11.
Papafragou, Anna, et al.. (2017). Automaticity and Specificity of Attentional Capture by Language. Journal of Vision. 17(10). 950–950. 1 indexed citations
12.
Vickery, Timothy J., et al.. (2016). No Apparent Influence of Reward upon Visual Statistical Learning. Frontiers in Psychology. 7. 1687–1687. 5 indexed citations
13.
Vickery, Timothy J., Kent Friedman, & Robert Bristol. (2014). Unreliable associations between visual features and values interfere with reward-based decision-making. Journal of Vision. 14(10). 507–507.
14.
Bukach, Cindy M., et al.. (2011). Training experts: Individuation without naming is worth it.. Journal of Experimental Psychology Human Perception & Performance. 38(1). 14–17. 11 indexed citations
15.
Vickery, Timothy J., Marvin M. Chun, & Daeyeol Lee. (2011). Ubiquity and Specificity of Reinforcement Signals throughout the Human Brain. Neuron. 72(1). 166–177. 134 indexed citations
16.
Vickery, Timothy J., et al.. (2010). Warped spatial perception within and near objects. Journal of Vision. 10(7). 1186–1186. 1 indexed citations
17.
Vickery, Timothy J. & Marvin M. Chun. (2010). Object-Based Warping. Psychological Science. 21(12). 1759–1764. 16 indexed citations
18.
Vickery, Timothy J., Rachel S. Sussman, & Yuhong Jiang. (2010). Spatial context learning survives interference from working memory load.. Journal of Experimental Psychology Human Perception & Performance. 36(6). 1358–1371. 49 indexed citations
19.
Vickery, Timothy J. & Yuhong Jiang. (2009). Associative grouping: Perceptual grouping of shapes by association. Attention Perception & Psychophysics. 71(4). 896–909. 27 indexed citations
20.
Vickery, Timothy J., et al.. (2005). Setting up the target template in visual search. Journal of Vision. 5(1). 8–8. 203 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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