Clayton Hickey

4.3k total citations
57 papers, 3.0k citations indexed

About

Clayton Hickey is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Sensory Systems. According to data from OpenAlex, Clayton Hickey has authored 57 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Cognitive Neuroscience, 10 papers in Experimental and Cognitive Psychology and 6 papers in Sensory Systems. Recurrent topics in Clayton Hickey's work include Neural and Behavioral Psychology Studies (44 papers), Visual perception and processing mechanisms (29 papers) and Neural dynamics and brain function (26 papers). Clayton Hickey is often cited by papers focused on Neural and Behavioral Psychology Studies (44 papers), Visual perception and processing mechanisms (29 papers) and Neural dynamics and brain function (26 papers). Clayton Hickey collaborates with scholars based in Italy, Netherlands and United Kingdom. Clayton Hickey's co-authors include Jan Theeuwes, John J. McDonald, Leonardo Chelazzi, Vincent Di Lollo, Marius V. Peelen, Wieske van Zoest, Matthew D. Weaver, Christian N. L. Olivers, Alan Kingstone and Joseph D. Chisholm and has published in prestigious journals such as Neuron, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Clayton Hickey

54 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Clayton Hickey Italy 27 2.7k 746 322 259 169 57 3.0k
Nicholas Gaspelin United States 23 2.7k 1.0× 649 0.9× 216 0.7× 316 1.2× 162 1.0× 51 2.9k
Alison Harris United States 19 2.1k 0.8× 636 0.9× 126 0.4× 235 0.9× 418 2.5× 32 2.6k
Ulrich Ansorge Austria 32 2.7k 1.0× 765 1.0× 226 0.7× 697 2.7× 281 1.7× 183 3.2k
Andrew B. Leber United States 19 2.1k 0.8× 479 0.6× 190 0.6× 184 0.7× 202 1.2× 76 2.3k
Patryk A. Laurent United States 14 1.5k 0.6× 384 0.5× 197 0.6× 134 0.5× 64 0.4× 19 1.7k
Mónika Kiss United Kingdom 28 2.4k 0.9× 591 0.8× 151 0.5× 205 0.8× 209 1.2× 36 2.6k
Yehoshua Tsal Israel 30 2.7k 1.0× 911 1.2× 92 0.3× 450 1.7× 223 1.3× 61 3.2k
Valentin Wyart France 27 3.0k 1.1× 698 0.9× 158 0.5× 244 0.9× 66 0.4× 55 3.3k
Casimir J. H. Ludwig United Kingdom 23 1.4k 0.5× 341 0.5× 150 0.5× 163 0.6× 238 1.4× 55 1.7k
Miguel A. Escrig Spain 8 858 0.3× 543 0.7× 168 0.5× 392 1.5× 58 0.3× 14 1.5k

Countries citing papers authored by Clayton Hickey

Since Specialization
Citations

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

Fields of papers citing papers by Clayton Hickey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clayton Hickey

This figure shows the co-authorship network connecting the top 25 collaborators of Clayton Hickey. A scholar is included among the top collaborators of Clayton Hickey 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 Clayton Hickey. Clayton Hickey 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.
Hickey, Clayton, et al.. (2025). Using N2pc variability to probe functionality: Linear mixed modelling of trial EEG and behaviour. Biological Psychology. 195. 108987–108987. 2 indexed citations
2.
Hickey, Clayton, et al.. (2024). Fast Feature- and Category-Related Parafoveal Previewing Support Free Visual Exploration. Journal of Neuroscience. 44(49). e0841242024–e0841242024. 1 indexed citations
3.
Acunzo, David, et al.. (2024). Object-based attention is accentuated by object reward association.. Journal of Experimental Psychology Human Perception & Performance. 50(3). 280–294.
4.
Ferrante, Oscar, Alexander Zhigalov, Clayton Hickey, & Ole Jensen. (2023). Statistical Learning of Distractor Suppression Downregulates Prestimulus Neural Excitability in Early Visual Cortex. Journal of Neuroscience. 43(12). 2190–2198. 27 indexed citations
5.
Melcher, David, et al.. (2018). Endogenous attention modulates the temporal window of integration. Attention Perception & Psychophysics. 80(5). 1214–1228. 21 indexed citations
6.
Melcher, David, et al.. (2018). Different effects of spatial and temporal attention on the integration and segregation of stimuli in time. Attention Perception & Psychophysics. 81(2). 433–441. 16 indexed citations
7.
Kaiser, Daniel, et al.. (2018). The time course of spatial attention during naturalistic visual search. Cortex. 122. 225–234. 19 indexed citations
8.
Weaver, Matthew D., Wieske van Zoest, & Clayton Hickey. (2016). A temporal dependency account of attentional inhibition in oculomotor control. NeuroImage. 147. 880–894. 76 indexed citations
9.
Hickey, Clayton, Daniel Kaiser, & Marius V. Peelen. (2015). Reward guides attention to object categories in real-world scenes.. Journal of Experimental Psychology General. 144(2). 264–273. 61 indexed citations
10.
Oliveira, Flavio T. P., Clayton Hickey, & John J. McDonald. (2014). Proactive and Reactive Processes in the Medial Frontal Cortex: An Electrophysiological Study. PLoS ONE. 9(1). e84351–e84351. 15 indexed citations
11.
Hickey, Clayton, et al.. (2014). Reward associations impact both iconic and visual working memory. Vision Research. 107. 22–29. 35 indexed citations
12.
Hickey, Clayton, et al.. (2013). The Detection of Novelty Relies on Dopaminergic Signaling: Evidence from Apomorphine's Impact on the Novelty N2. PLoS ONE. 8(6). e66469–e66469. 28 indexed citations
13.
Hickey, Clayton & Wieske van Zoest. (2013). Reward-associated stimuli capture the eyes in spite of strategic attentional set. Vision Research. 92. 67–74. 45 indexed citations
14.
Burg, Erik Van der, Durk Talsma, Christian N. L. Olivers, Clayton Hickey, & Jan Theeuwes. (2011). Early multisensory interactions affect the competition among multiple visual objects. NeuroImage. 55(3). 1208–1218. 120 indexed citations
15.
Hickey, Clayton, Leonardo Chelazzi, & Jan Theeuwes. (2010). Reward has a larger impact on visual search in people with reward-seeking personalities. Journal of Vision. 10(7). 255–255. 1 indexed citations
16.
Hickey, Clayton, Leonardo Chelazzi, & Jan Theeuwes. (2010). Incentive salience in human visual attention. Journal of Vision. 10(7). 31–31. 2 indexed citations
17.
Hickey, Clayton, Leonardo Chelazzi, & Jan Theeuwes. (2010). Reward Guides Vision when It's Your Thing: Trait Reward-Seeking in Reward-Mediated Visual Priming. PLoS ONE. 5(11). e14087–e14087. 133 indexed citations
18.
Olivers, Christian N. L., Erik Van der Burg, Durk Talsma, Clayton Hickey, & Jan Theeuwes. (2009). Early Multisensory Interactions Affect the Competition Among Multiple Visual Objects: An EEG Study of the Pip and Pop effect. Psychophysiology. 46. 1 indexed citations
19.
Hickey, Clayton, Wieske van Zoest, & Jan Theeuwes. (2009). The time course of exogenous and endogenous control of covert attention. Experimental Brain Research. 201(4). 789–796. 53 indexed citations
20.
Hickey, Clayton & Jan Theeuwes. (2008). Reward primes visual search. Perception. 37. 46–46. 3 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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