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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:

A reinforcement learning diffusion decision model for value-based decisions
Laura Fontanesi, Sebastian Gluth, Mikhail S. Spektor, et al.
Psychonomic Bulletin & Review (2019) Vol. 26, Iss. 4, pp. 1099-1121
Open Access | Times Cited: 176

Showing 1-25 of 176 citing articles:

Value-based attention but not divisive normalization influences decisions with multiple alternatives
Sebastian Gluth, Nadja Kern, Maria Kortmann, et al.
Nature Human Behaviour (2020) Vol. 4, Iss. 6, pp. 634-645
Open Access | Times Cited: 154
Epistemic reduction of the concept of ‘decision’
Daniel C. Burnston
Synthese (2025) Vol. 205, Iss. 2
Open Access | Times Cited: 2
The drift diffusion model as the choice rule in inter-temporal and risky choice: A case study in medial orbitofrontal cortex lesion patients and controls
Jan Peters, Mark D’Esposito
PLoS Computational Biology (2020) Vol. 16, Iss. 4, pp. e1007615-e1007615
Open Access | Times Cited: 72
Cognitive Control as a Multivariate Optimization Problem
Harrison Ritz, Xiamin Leng, Amitai Shenhav
Journal of Cognitive Neuroscience (2022) Vol. 34, Iss. 4, pp. 569-591
Open Access | Times Cited: 44
Novelty and uncertainty differentially drive exploration across development
Kate Nussenbaum, Rebecca Martin, Sean Maulhardt, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 29
Joint Modelling of Latent Cognitive Mechanisms Shared Across Decision-Making Domains
Niek Stevenson, Reilly James Innes, Russell J. Boag, et al.
Computational Brain & Behavior (2024) Vol. 7, Iss. 1, pp. 1-22
Open Access | Times Cited: 12
INTERPRETATION OF INDIVIDUAL DIFFERENCES IN COMPUTATIONAL NEUROSCIENCE USING A LATENT INPUT APPROACH
Jessica V. Schaaf, Steven Miletić, Anna C. K. van Duijvenvoorde, et al.
Developmental Cognitive Neuroscience (2025), pp. 101512-101512
Open Access | Times Cited: 1
Mutual benefits: Combining reinforcement learning with sequential sampling models
Steven Miletić, Russell J. Boag, Birte U. Forstmann
Neuropsychologia (2019) Vol. 136, pp. 107261-107261
Open Access | Times Cited: 62
Decomposing the effects of context valence and feedback information on speed and accuracy during reinforcement learning: a meta-analytical approach using diffusion decision modeling
Laura Fontanesi, Stefano Palminteri, Maël Lebreton
Cognitive Affective & Behavioral Neuroscience (2019) Vol. 19, Iss. 3, pp. 490-502
Open Access | Times Cited: 57
Motivational competition and the paraventricular thalamus
Gavan P. McNally
Neuroscience & Biobehavioral Reviews (2021) Vol. 125, pp. 193-207
Closed Access | Times Cited: 55
A new model of decision processing in instrumental learning tasks
Steven Miletić, Russell J. Boag, Anne C. Trutti, et al.
eLife (2021) Vol. 10
Open Access | Times Cited: 54
Modeling the influence of working memory, reinforcement, and action uncertainty on reaction time and choice during instrumental learning
Samuel D. McDougle, Anne Collins
Psychonomic Bulletin & Review (2020) Vol. 28, Iss. 1, pp. 20-39
Open Access | Times Cited: 53
Simultaneous Hierarchical Bayesian Parameter Estimation for Reinforcement Learning and Drift Diffusion Models: a Tutorial and Links to Neural Data
Mads L. Pedersen, Michael J. Frank
Computational Brain & Behavior (2020) Vol. 3, Iss. 4, pp. 458-471
Open Access | Times Cited: 51
Filling the gaps: Cognitive control as a critical lens for understanding mechanisms of value-based decision-making
Romy Frömer, Amitai Shenhav
Neuroscience & Biobehavioral Reviews (2021) Vol. 134, pp. 104483-104483
Open Access | Times Cited: 43
Test–retest reliability of reinforcement learning parameters
Jessica V. Schaaf, Laura Weidinger, Lucas Molleman, et al.
Behavior Research Methods (2023) Vol. 56, Iss. 5, pp. 4582-4599
Open Access | Times Cited: 20
A Cognitive Computational Approach to Social and Collective Decision-Making
Alan Novaes Tump, Dominik Deffner, Timothy J. Pleskac, et al.
Perspectives on Psychological Science (2023) Vol. 19, Iss. 2, pp. 538-551
Open Access | Times Cited: 18
Reinforcement learning of adaptive control strategies
Leslie Held, Luc Vermeylen, David Dignath, et al.
Communications Psychology (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 8
Trait impulsivity and acute stress interact to influence choice and decision speed during multi-stage decision-making
Candace M. Raio, Anna B. Konova, A. Ross Otto
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 41
Dissociable influences of reward and punishment on adaptive cognitive control
Xiamin Leng, Debbie Yee, Harrison Ritz, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 12, pp. e1009737-e1009737
Open Access | Times Cited: 38
Beyond Drift Diffusion Models: Fitting a Broad Class of Decision and Reinforcement Learning Models with HDDM
Alexander Fengler, Krishn Bera, Mads L. Pedersen, et al.
Journal of Cognitive Neuroscience (2022) Vol. 34, Iss. 10, pp. 1780-1805
Closed Access | Times Cited: 25
Testosterone eliminates strategic prosocial behavior through impacting choice consistency in healthy males
Hana H. Kutlikova, Lei Zhang, Christoph Eisenegger, et al.
Neuropsychopharmacology (2023) Vol. 48, Iss. 10, pp. 1541-1550
Open Access | Times Cited: 15
Beyond discrete-choice options
Amir Hosein Hadian Rasanan, Nathan J. Evans, Laura Fontanesi, et al.
Trends in Cognitive Sciences (2024) Vol. 28, Iss. 9, pp. 857-870
Open Access | Times Cited: 5
Dopaminergic Modulation of Human Intertemporal Choice: A Diffusion Model Analysis Using the D2-Receptor Antagonist Haloperidol
Ben Wagner, Mareike Clos, Tobias Sommer, et al.
Journal of Neuroscience (2020) Vol. 40, Iss. 41, pp. 7936-7948
Open Access | Times Cited: 39
Improving the reliability and validity of the IAT with a dynamic model driven by similarity
Peter D. Kvam, Louis Horowitz Irving, Konstantina Sokratous, et al.
Behavior Research Methods (2023) Vol. 56, Iss. 3, pp. 2158-2193
Closed Access | Times Cited: 12
Dopamine regulates decision thresholds in human reinforcement learning in males
Karima Chakroun, Antonius Wiehler, Ben Wagner, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 12
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