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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:

The Outcome‐Representation Learning Model: A Novel Reinforcement Learning Model of the Iowa Gambling Task
Nathaniel Haines, Jasmin Vassileva, Woo‐Young Ahn
Cognitive Science (2018) Vol. 42, Iss. 8, pp. 2534-2561
Open Access | Times Cited: 68

Showing 1-25 of 68 citing articles:

Theoretically Informed Generative Models Can Advance the Psychological and Brain Sciences: Lessons from the Reliability Paradox
Nathaniel Haines, Peter D. Kvam, Louis Horowitz Irving, et al.
(2020)
Open Access | Times Cited: 123
Using reinforcement learning models in social neuroscience: frameworks, pitfalls and suggestions of best practices
Lei Zhang, Lukas Lengersdorff, Nace Mikuš, et al.
Social Cognitive and Affective Neuroscience (2020) Vol. 15, Iss. 6, pp. 695-707
Open Access | Times Cited: 117
From Classical Methods to Generative Models: Tackling the Unreliability of Neuroscientific Measures in Mental Health Research
Nathaniel Haines, Holly Sullivan‐Toole, Thomas M. Olino
Biological Psychiatry Cognitive Neuroscience and Neuroimaging (2023) Vol. 8, Iss. 8, pp. 822-831
Open Access | Times Cited: 23
Negative affectivity drivers of impulsivity in opioid use disorder
Jasmin Vassileva, Elena Psederska, James M. Bjork
Nature Reviews Psychology (2025)
Closed Access | Times Cited: 1
Development of a novel computational model for the Balloon Analogue Risk Task: The exponential-weight mean–variance model
Harhim Park, Jaeyeong Yang, Jasmin Vassileva, et al.
Journal of Mathematical Psychology (2021) Vol. 102, pp. 102532-102532
Open Access | Times Cited: 33
Decision-making (in)flexibility in gambling disorder
Ana Perandrés‐Gómez, Juan F. Navas, Tim van Timmeren, et al.
Addictive Behaviors (2020) Vol. 112, pp. 106534-106534
Open Access | Times Cited: 33
The role of reinforcement learning in shaping the decision policy in methamphetamine use disorders
Sadegh Ghaderi, Mohammad Hemami, Reza Khosrowabadi, et al.
Journal of Choice Modelling (2024) Vol. 50, pp. 100469-100469
Open Access | Times Cited: 4
Dysfunctional feedback processing in male methamphetamine abusers: Evidence from neurophysiological and computational approaches
Sadegh Ghaderi, Jamal Amani Rad, Mohammad Hemami, et al.
Neuropsychologia (2024) Vol. 197, pp. 108847-108847
Closed Access | Times Cited: 4
Sequential exploration in the Iowa gambling task: Validation of a new computational model in a large dataset of young and old healthy participants
Romain Ligneul
PLoS Computational Biology (2019) Vol. 15, Iss. 6, pp. e1006989-e1006989
Open Access | Times Cited: 33
Testing the factor structure underlying behavior using joint cognitive models: Impulsivity in delay discounting and Cambridge gambling tasks.
Peter D. Kvam, Ricardo J. Romeu, Brandon M. Turner, et al.
Psychological Methods (2020) Vol. 26, Iss. 1, pp. 18-37
Open Access | Times Cited: 29
Parallel model-based and model-free reinforcement learning for card sorting performance
Alexander Steinke, Florian Lange, Bruno Kopp
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 28
Enhancing the Psychometric Properties of the Iowa Gambling Task Using Full Generative Modeling
Holly Sullivan‐Toole, Nathaniel Haines, Kristina Dale, et al.
Computational Psychiatry (2022) Vol. 6, Iss. 1, pp. 189-212
Open Access | Times Cited: 18
Anxiety Modulates Preference for Immediate Rewards Among Trait-Impulsive Individuals: A Hierarchical Bayesian Analysis
Nathaniel Haines, Theodore P. Beauchaine, Matthew Galdo, et al.
Clinical Psychological Science (2020) Vol. 8, Iss. 6, pp. 1017-1036
Closed Access | Times Cited: 22
Losses disguised as wins evoke the reward positivity event‐related potential in a simulated machine gambling task
Dan Myles, Adrian Carter, Murat Yücel, et al.
Psychophysiology (2024) Vol. 61, Iss. 6
Open Access | Times Cited: 2
Computational Modeling for Neuropsychological Assessment of Bradyphrenia in Parkinson’s Disease
Alexander Steinke, Florian Lange, Caroline Seer, et al.
Journal of Clinical Medicine (2020) Vol. 9, Iss. 4, pp. 1158-1158
Open Access | Times Cited: 18
Computational models of exploration and exploitation characterise onset and efficacy of treatment in methamphetamine use disorder
Alex H. Robinson, Trevor T.‐J. Chong, Antonio Verdejo‐García
Addiction Biology (2022) Vol. 27, Iss. 3
Open Access | Times Cited: 12
Decision‐making biases in suicide attempters with major depressive disorder: A computational modeling study using the balloon analog risk task (BART)
Qinyu Liu, Runqing Zhong, Xinlei Ji, et al.
Depression and Anxiety (2022) Vol. 39, Iss. 12, pp. 845-857
Open Access | Times Cited: 9
Inter-individual and inter-strain differences in cognitive and social abilities of Dark Agouti and Wistar Han rats
Lucille Alonso, Polina Peeva, Arnau Ramos-Prats, et al.
Behavioural Brain Research (2019) Vol. 377, pp. 112188-112188
Open Access | Times Cited: 13
Utility of Computational Approaches for Precision Psychiatry: Applications to Substance Use Disorders
Jasmin Vassileva, Jeung-Hyun Lee, Elena Psederska, et al.
Neuromethods (2023), pp. 211-231
Closed Access | Times Cited: 4
Impulsivity-related right superior frontal gyrus as a biomarker of internet gaming disorder
Pengyu Zhang, Yu Pan, Rujing Zha, et al.
General Psychiatry (2023) Vol. 36, Iss. 4, pp. e100985-e100985
Open Access | Times Cited: 4
Active reinforcement learning versus action bias and hysteresis: control with a mixture of experts and nonexperts
Jaron T. Colas, John P. O’Doherty, Scott T. Grafton
PLoS Computational Biology (2024) Vol. 20, Iss. 3, pp. e1011950-e1011950
Open Access | Times Cited: 1
Individual differences in learning during decision-making may predict specific harms associated with gambling
Nanna Kildahl, Simon Hansen, Damien Brevers, et al.
Addictive Behaviors (2020) Vol. 110, pp. 106496-106496
Closed Access | Times Cited: 11
Autonomic responses to choice outcomes: Links to task performance and reinforcement-learning parameters
William M. Hayes, Douglas H. Wedell
Biological Psychology (2020) Vol. 156, pp. 107968-107968
Closed Access | Times Cited: 11
Effect of reward and punishment on no-risk decision-making in young men: An EEG study
Fabiola Alejandra Iribe-Burgos, Pedro Manuel Cortes, Juan Pablo García-Hernández, et al.
Brain Research (2022) Vol. 1779, pp. 147788-147788
Closed Access | Times Cited: 7
Decomposing conditioned avoidance performance with computational models
Angelos‐Miltiadis Krypotos, Geert Crombez, Ann Meulders, et al.
Behaviour Research and Therapy (2020) Vol. 133, pp. 103712-103712
Open Access | Times Cited: 9
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