OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Visual Selection: Usually Fast and Automatic; Seldom Slow and Volitional
Jan Theeuwes
Journal of Cognition (2018) Vol. 1, Iss. 1
Open Access | Times Cited: 218

Showing 1-25 of 218 citing articles:

Guided Search 6.0: An updated model of visual search
Jeremy M. Wolfe
Psychonomic Bulletin & Review (2021) Vol. 28, Iss. 4, pp. 1060-1092
Open Access | Times Cited: 437

Working Memory and Attention – A Conceptual Analysis and Review
Klaus Oberauer
Journal of Cognition (2019) Vol. 2, Iss. 1
Open Access | Times Cited: 434

Progress toward resolving the attentional capture debate
Steven J. Luck, Nicholas Gaspelin, Charles L. Folk, et al.
Visual Cognition (2020) Vol. 29, Iss. 1, pp. 1-21
Open Access | Times Cited: 307

How to inhibit a distractor location? Statistical learning versus active, top-down suppression
Benchi Wang, Jan Theeuwes
Attention Perception & Psychophysics (2018) Vol. 80, Iss. 4, pp. 860-870
Open Access | Times Cited: 213

Goal-driven, stimulus-driven, and history-driven selection
Jan Theeuwes
Current Opinion in Psychology (2019) Vol. 29, pp. 97-101
Open Access | Times Cited: 206

Getting rid of visual distractors: the why, when, how, and where
Leonardo Chelazzi, Francesco Marini, David Pascucci, et al.
Current Opinion in Psychology (2019) Vol. 29, pp. 135-147
Closed Access | Times Cited: 174

Visual Search: How Do We Find What We Are Looking For?
Jeremy M. Wolfe
Annual Review of Vision Science (2020) Vol. 6, Iss. 1, pp. 539-562
Open Access | Times Cited: 153

Anticipatory Distractor Suppression Elicited by Statistical Regularities in Visual Search
Benchi Wang, Joram van Driel, Eduard Ort, et al.
Journal of Cognitive Neuroscience (2019) Vol. 31, Iss. 10, pp. 1535-1548
Open Access | Times Cited: 147

The past, present, and future of selection history
Brian A. Anderson, Haena Kim, Andy Jeesu Kim, et al.
Neuroscience & Biobehavioral Reviews (2021) Vol. 130, pp. 326-350
Open Access | Times Cited: 123

What to expect where and when: how statistical learning drives visual selection
Jan Theeuwes, Louisa Bogaerts, Dirk van Moorselaar
Trends in Cognitive Sciences (2022) Vol. 26, Iss. 10, pp. 860-872
Open Access | Times Cited: 109

Pinging the brain to reveal the hidden attentional priority map using encephalography
Dock H Duncan, Dirk van Moorselaar, Jan Theeuwes
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 45

Neurobiology of value-driven attention
Brian A. Anderson
Current Opinion in Psychology (2018) Vol. 29, pp. 27-33
Closed Access | Times Cited: 116

Inhibition as a potential resolution to the attentional capture debate
Nicholas Gaspelin, Steven J. Luck
Current Opinion in Psychology (2018) Vol. 29, pp. 12-18
Open Access | Times Cited: 116

Proactive enhancement and suppression elicited by statistical regularities in visual search.
Changrun Huang, Mieke Donk, Jan Theeuwes
Journal of Experimental Psychology Human Perception & Performance (2022) Vol. 48, Iss. 5, pp. 443-457
Open Access | Times Cited: 48

Oculomotor inhibition of salient distractors: Voluntary inhibition cannot override selection history
Nicholas Gaspelin, John M. Gaspar, Steven J. Luck
Visual Cognition (2019) Vol. 27, Iss. 3-4, pp. 227-246
Open Access | Times Cited: 74

Statistical regularities bias overt attention
Benchi Wang, Iliana Samara, Jan Theeuwes
Attention Perception & Psychophysics (2019) Vol. 81, Iss. 6, pp. 1813-1821
Open Access | Times Cited: 63

Specificity and persistence of statistical learning in distractor suppression.
Mark K. Britton, Brian A. Anderson
Journal of Experimental Psychology Human Perception & Performance (2019) Vol. 46, Iss. 3, pp. 324-334
Open Access | Times Cited: 61

Statistical learning in the absence of explicit top-down attention
Dock H Duncan, Jan Theeuwes
Cortex (2020) Vol. 131, pp. 54-65
Open Access | Times Cited: 52

Self-explaining roads: What does visual cognition tell us about designing safer roads?
Jan Theeuwes
Cognitive Research Principles and Implications (2021) Vol. 6, Iss. 1
Open Access | Times Cited: 48

Learning to suppress a location does not depend on knowing which location
Ya Gao, Jan Theeuwes
Attention Perception & Psychophysics (2022) Vol. 84, Iss. 4, pp. 1087-1097
Open Access | Times Cited: 32

The Attentional Capture Debate: When Can We Avoid Salient Distractors and When Not?
Jan Theeuwes
Journal of Cognition (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 20

On the reliability of value-modulated attentional capture: An online replication and multiverse analysis
Francisco Garre-Frutos, Miguel A. Vadillo, Felisa González, et al.
Behavior Research Methods (2024) Vol. 56, Iss. 6, pp. 5986-6003
Open Access | Times Cited: 8

Trichotomy revisited: A monolithic theory of attentional control
Brian A. Anderson
Vision Research (2024) Vol. 217, pp. 108366-108366
Closed Access | Times Cited: 7

“Top-down” Does Not Mean “Voluntary”
Nicholas Gaspelin, Steven J. Luck
Journal of Cognition (2018) Vol. 1, Iss. 1
Open Access | Times Cited: 53

Dissociable Components of Experience-Driven Attention
Haena Kim, Brian A. Anderson
Current Biology (2019) Vol. 29, Iss. 5, pp. 841-845.e2
Open Access | Times Cited: 52

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