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:

Reinforcement learning: The Good, The Bad and The Ugly
Peter Dayan, Yael Niv
Current Opinion in Neurobiology (2008) Vol. 18, Iss. 2, pp. 185-196
Closed Access | Times Cited: 697

Showing 1-25 of 697 citing articles:

Dopamine in Motivational Control: Rewarding, Aversive, and Alerting
Ethan S. Bromberg-Martin, Masayuki Matsumoto, Okihide Hikosaka
Neuron (2010) Vol. 68, Iss. 5, pp. 815-834
Open Access | Times Cited: 2190

The neural bases of emotion regulation
Amit Etkin, Christian Büchel, James J. Gross
Nature reviews. Neuroscience (2015) Vol. 16, Iss. 11, pp. 693-700
Closed Access | Times Cited: 1045

Understanding dopamine and reinforcement learning: The dopamine reward prediction error hypothesis
Paul W. Glimcher
Proceedings of the National Academy of Sciences (2011) Vol. 108, Iss. supplement_3, pp. 15647-15654
Open Access | Times Cited: 898

Projection-Specific Modulation of Dopamine Neuron Synapses by Aversive and Rewarding Stimuli
Stephan Lammel, Daniela I. Ion, Jochen Roeper, et al.
Neuron (2011) Vol. 70, Iss. 5, pp. 855-862
Open Access | Times Cited: 747

Reinforcement learning in the brain
Yael Niv
Journal of Mathematical Psychology (2009) Vol. 53, Iss. 3, pp. 139-154
Open Access | Times Cited: 698

From prediction error to incentive salience: mesolimbic computation of reward motivation
Kent Berridge
European Journal of Neuroscience (2012) Vol. 35, Iss. 7, pp. 1124-1143
Open Access | Times Cited: 673

A Bayesian foundation for individual learning under uncertainty
Christoph Mathys
Frontiers in Human Neuroscience (2011) Vol. 5
Open Access | Times Cited: 612

Emotion and the prefrontal cortex: An integrative review.
Matthew L. Dixon, Ravi Thiruchselvam, Rebecca M. Todd, et al.
Psychological Bulletin (2017) Vol. 143, Iss. 10, pp. 1033-1081
Closed Access | Times Cited: 602

A problem in theory
Michael Muthukrishna, Joseph Henrich
Nature Human Behaviour (2019) Vol. 3, Iss. 3, pp. 221-229
Open Access | Times Cited: 561

Reward and Punishment Processing in Depression
Neir Eshel, Jonathan P. Roiser
Biological Psychiatry (2010) Vol. 68, Iss. 2, pp. 118-124
Closed Access | Times Cited: 543

Neural Basis of Reinforcement Learning and Decision Making
Daeyeol Lee, Hyojung Seo, Min Whan Jung
Annual Review of Neuroscience (2012) Vol. 35, Iss. 1, pp. 287-308
Open Access | Times Cited: 515

Trial-by-trial data analysis using computational models
Nathaniel D. Daw
Oxford University Press eBooks (2011), pp. 3-38
Open Access | Times Cited: 442

The ecology of human fear: survival optimization and the nervous system
Dean Mobbs, Cindy C. Hagan, Tim Dalgleish, et al.
Frontiers in Neuroscience (2015) Vol. 9
Open Access | Times Cited: 420

Action, Outcome, and Value
Fiery Cushman
Personality and Social Psychology Review (2013) Vol. 17, Iss. 3, pp. 273-292
Closed Access | Times Cited: 415

Neural basis of the undermining effect of monetary reward on intrinsic motivation
Kou Murayama, Madoka Matsumoto, Keise Izuma, et al.
Proceedings of the National Academy of Sciences (2010) Vol. 107, Iss. 49, pp. 20911-20916
Open Access | Times Cited: 348

Reinforcement learning improves behaviour from evaluative feedback
Michael L. Littman
Nature (2015) Vol. 521, Iss. 7553, pp. 445-451
Closed Access | Times Cited: 342

The Handbook of Behavior Change

Cambridge University Press eBooks (2020)
Closed Access | Times Cited: 340

Striatal Prediction Error Modulates Cortical Coupling
Hanneke E.M. den Ouden, Jean Daunizeau, Jonathan P. Roiser, et al.
Journal of Neuroscience (2010) Vol. 30, Iss. 9, pp. 3210-3219
Open Access | Times Cited: 311

Dynamic Interaction between Reinforcement Learning and Attention in Multidimensional Environments
Yuan Chang Leong, Angela Radulescu, Reka Daniel, et al.
Neuron (2017) Vol. 93, Iss. 2, pp. 451-463
Open Access | Times Cited: 304

A Neural Computational Model of Incentive Salience
Jun Zhang, Kent Berridge, Amy J. Tindell, et al.
PLoS Computational Biology (2009) Vol. 5, Iss. 7, pp. e1000437-e1000437
Open Access | Times Cited: 297

Neural correlates of cognitive dissonance and choice-induced preference change
Keise Izuma, Madoka Matsumoto, Kou Murayama, et al.
Proceedings of the National Academy of Sciences (2010) Vol. 107, Iss. 51, pp. 22014-22019
Open Access | Times Cited: 279

Simulating murder: The aversion to harmful action.
Fiery Cushman, Kurt Gray, Allison E. Gaffey, et al.
Emotion (2011) Vol. 12, Iss. 1, pp. 2-7
Closed Access | Times Cited: 273

Process Account of Curiosity and Interest: A Reward-Learning Perspective
Kou Murayama, Lily FitzGibbon, Michiko Sakaki
Educational Psychology Review (2019) Vol. 31, Iss. 4, pp. 875-895
Open Access | Times Cited: 257

Quantifying the effect of intertrial dependence on perceptual decisions
Ingo Fründ, Felix A. Wichmann, Jakob H. Macke
Journal of Vision (2014) Vol. 14, Iss. 7, pp. 9-9
Open Access | Times Cited: 256

Opposite initialization to novel cues in dopamine signaling in ventral and posterior striatum in mice
William Menegas, Bénédicte M. Babayan, Naoshige Uchida, et al.
eLife (2017) Vol. 6
Open Access | Times Cited: 253

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