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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:

Pupil Diameter Tracks Lapses of Attention
Ruud L. van den Brink, Peter R. Murphy, Sander Nieuwenhuis
PLoS ONE (2016) Vol. 11, Iss. 10, pp. e0165274-e0165274
Open Access | Times Cited: 195

Showing 1-25 of 195 citing articles:

Pupil Size as a Window on Neural Substrates of Cognition
Siddhartha Joshi, Joshua I. Gold
Trends in Cognitive Sciences (2020) Vol. 24, Iss. 6, pp. 466-480
Open Access | Times Cited: 458
A locus coeruleus-norepinephrine account of individual differences in working memory capacity and attention control
Nash Unsworth, Matthew K. Robison
Psychonomic Bulletin & Review (2017) Vol. 24, Iss. 4, pp. 1282-1311
Open Access | Times Cited: 211
A disinhibitory circuit mechanism explains a general principle of peak performance during mid-level arousal
Lola Beerendonk, Jorge F. Mejías, Stijn A. Nuiten, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 5
Open Access | Times Cited: 19
Strength of low-frequency EEG phase entrainment to external stimuli is associated with fluctuations in the brain’s internal state
Verónica Mäki-Marttunen, Alexandra Velinov, Sander Nieuwenhuis
eNeuro (2025), pp. ENEURO.0064-24.2024
Open Access | Times Cited: 2
Tracking arousal state and mind wandering with pupillometry
Nash Unsworth, Matthew K. Robison
Cognitive Affective & Behavioral Neuroscience (2018) Vol. 18, Iss. 4, pp. 638-664
Open Access | Times Cited: 144
When attention wanders: Pupillometric signatures of fluctuations in external attention
Mahiko Konishi, Kevin Brown, Luca Battaglini, et al.
Cognition (2017) Vol. 168, pp. 16-26
Open Access | Times Cited: 127
Local cortical desynchronization and pupil-linked arousal differentially shape brain states for optimal sensory performance
Leonhard Waschke, Sarah Tune, Jonas Obleser
eLife (2019) Vol. 8
Open Access | Times Cited: 106
Light-Induced Pupillary Responses in Alzheimer's Disease
Pratik Chougule, Raymond P. Najjar, Maxwell T. Finkelstein, et al.
Frontiers in Neurology (2019) Vol. 10
Open Access | Times Cited: 94
Does the Mind Wander When the Brain Takes a Break? Local Sleep in Wakefulness, Attentional Lapses and Mind-Wandering
Thomas Andrillon, Jennifer M. Windt, Timothy J. Silk, et al.
Frontiers in Neuroscience (2019) Vol. 13
Open Access | Times Cited: 93
Eye pupil signals information gain
Alexandre Zénon
Proceedings of the Royal Society B Biological Sciences (2019) Vol. 286, Iss. 1911, pp. 20191593-20191593
Open Access | Times Cited: 92
Sleep deprivation increases the costs of attentional effort: Performance, preference and pupil size
Stijn A.A. Massar, Julian Lim, Karen Sasmita, et al.
Neuropsychologia (2018) Vol. 123, pp. 169-177
Open Access | Times Cited: 86
Coupling of respiration and attention via the locus coeruleus: Effects of meditation and pranayama
Michael Christopher Melnychuk, Paul M. Dockree, Redmond G O’Connell, et al.
Psychophysiology (2018) Vol. 55, Iss. 9
Open Access | Times Cited: 85
Eye contact marks the rise and fall of shared attention in conversation
Sophie Wohltjen, Thalia Wheatley
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 37
Open Access | Times Cited: 74
From pre-processing to advanced dynamic modeling of pupil data
Lauren K. Fink, Jaana Simola, Alessandro Tavano, et al.
Behavior Research Methods (2023) Vol. 56, Iss. 3, pp. 1376-1412
Open Access | Times Cited: 36
Dopamine and the motivation of cognitive control
Roshan Cools, Monja I. Froböse, Esther Aarts, et al.
Handbook of clinical neurology (2019), pp. 123-143
Open Access | Times Cited: 71
Detecting task demand via an eye tracking machine learning system
Mina Shojaeizadeh, Soussan Djamasbi, Randy Paffenroth, et al.
Decision Support Systems (2018) Vol. 116, pp. 91-101
Closed Access | Times Cited: 69
Indexing brain state-dependent pupil dynamics with simultaneous fMRI and optical fiber calcium recording
Patricia Pais‐Roldán, Kengo Takahashi, Filip Sobczak, et al.
Proceedings of the National Academy of Sciences (2020) Vol. 117, Iss. 12, pp. 6875-6882
Open Access | Times Cited: 69
A functional connectivity-based neuromarker of sustained attention generalizes to predict recall in a reading task
David C. Jangraw, Javier González-Castillo, Daniel A. Handwerker, et al.
NeuroImage (2017) Vol. 166, pp. 99-109
Open Access | Times Cited: 68
Pupillary Correlates of Fluctuations in Sustained Attention
Nash Unsworth, Matthew K. Robison, Ashley L. Miller
Journal of Cognitive Neuroscience (2018) Vol. 30, Iss. 9, pp. 1241-1253
Open Access | Times Cited: 68
Brain Networks Underlying Eye’s Pupil Dynamics
Mauro DiNuzzo, Daniele Mascali, Marta Moraschi, et al.
Frontiers in Neuroscience (2019) Vol. 13
Open Access | Times Cited: 64
Noradrenergic ensemble-based modulation of cognition over multiple timescales
Nelson K. Totah, Nikos K. Logothetis, O Eschenko
Brain Research (2018) Vol. 1709, pp. 50-66
Closed Access | Times Cited: 61
Cortical modulation of pupillary function: systematic review
Costanza Peinkhofer, Gitte M. Knudsen, Rita Moretti, et al.
PeerJ (2019) Vol. 7, pp. e6882-e6882
Open Access | Times Cited: 60
Individual differences in baseline oculometrics: Examining variation in baseline pupil diameter, spontaneous eye blink rate, and fixation stability
Nash Unsworth, Matthew K. Robison, Ashley L. Miller
Cognitive Affective & Behavioral Neuroscience (2019)
Open Access | Times Cited: 57
A Robust Machine Learning Based Framework for the Automated Detection of ADHD Using Pupillometric Biomarkers and Time Series Analysis
William Das, Shubh Khanna
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 52
Is baseline pupil size related to cognitive ability? Yes (under proper lighting conditions)
Jason S. Tsukahara, Randall W. Engle
Cognition (2021) Vol. 211, pp. 104643-104643
Open Access | Times Cited: 51
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