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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:

Model-based hierarchical reinforcement learning and human action control
Matthew Botvinick, Ari Weinstein
Philosophical Transactions of the Royal Society B Biological Sciences (2014) Vol. 369, Iss. 1655, pp. 20130480-20130480
Open Access | Times Cited: 168

Showing 1-25 of 168 citing articles:

Psychology of Habit
Wendy Wood, Dennis Rünger
Annual Review of Psychology (2015) Vol. 67, Iss. 1, pp. 289-314
Open Access | Times Cited: 1152
Toward an Integration of Deep Learning and Neuroscience
Adam Marblestone, Greg Wayne, Konrad P. Körding
Frontiers in Computational Neuroscience (2016) Vol. 10
Open Access | Times Cited: 630
Active Inference, homeostatic regulation and adaptive behavioural control
Giovanni Pezzulo, Francesco Rigoli, Karl Friston
Progress in Neurobiology (2015) Vol. 134, pp. 17-35
Open Access | Times Cited: 578
The successor representation in human reinforcement learning
Ida Momennejad, Evan M. Russek, Jin Hyun Cheong, et al.
Nature Human Behaviour (2017) Vol. 1, Iss. 9, pp. 680-692
Open Access | Times Cited: 360
Model-based choices involve prospective neural activity
Bradley B. Doll, Katherine Duncan, Dylan Alexander Simon, et al.
Nature Neuroscience (2015) Vol. 18, Iss. 5, pp. 767-772
Open Access | Times Cited: 277
Predictive representations can link model-based reinforcement learning to model-free mechanisms
Evan M. Russek, Ida Momennejad, Matthew Botvinick, et al.
PLoS Computational Biology (2017) Vol. 13, Iss. 9, pp. e1005768-e1005768
Open Access | Times Cited: 273
Hierarchical Active Inference: A Theory of Motivated Control
Giovanni Pezzulo, Francesco Rigoli, Karl Friston
Trends in Cognitive Sciences (2018) Vol. 22, Iss. 4, pp. 294-306
Open Access | Times Cited: 266
Reinforcement learning in artificial and biological systems
Emre Neftci, Bruno B. Averbeck
Nature Machine Intelligence (2019) Vol. 1, Iss. 3, pp. 133-143
Closed Access | Times Cited: 250
The hierarchical organization of the lateral prefrontal cortex
Derek Evan Nee, Mark D’Esposito
eLife (2016) Vol. 5
Open Access | Times Cited: 222
Rationalization is rational
Fiery Cushman
Behavioral and Brain Sciences (2019) Vol. 43
Open Access | Times Cited: 198
The algorithmic anatomy of model-based evaluation
Nathaniel D. Daw, Peter Dayan
Philosophical Transactions of the Royal Society B Biological Sciences (2014) Vol. 369, Iss. 1655, pp. 20130478-20130478
Open Access | Times Cited: 193
Learning Structures: Predictive Representations, Replay, and Generalization
Ida Momennejad
Current Opinion in Behavioral Sciences (2020) Vol. 32, pp. 155-166
Open Access | Times Cited: 138
Towards Continual Reinforcement Learning: A Review and Perspectives
Khimya Khetarpal, Matthew Riemer, Irina Rish, et al.
Journal of Artificial Intelligence Research (2022) Vol. 75, pp. 1401-1476
Open Access | Times Cited: 113
Habitual control of goal selection in humans
Fiery Cushman, Adam Morris
Proceedings of the National Academy of Sciences (2015) Vol. 112, Iss. 45, pp. 13817-13822
Open Access | Times Cited: 162
Algorithms for survival: a comparative perspective on emotions
Dominik R. Bach, Peter Dayan
Nature reviews. Neuroscience (2017) Vol. 18, Iss. 5, pp. 311-319
Open Access | Times Cited: 129
Offline replay supports planning in human reinforcement learning
Ida Momennejad, A. Ross Otto, Nathaniel D. Daw, et al.
eLife (2018) Vol. 7
Open Access | Times Cited: 124
Rational metareasoning and the plasticity of cognitive control
Falk Lieder, Amitai Shenhav, Sebastian Musslick, et al.
PLoS Computational Biology (2018) Vol. 14, Iss. 4, pp. e1006043-e1006043
Open Access | Times Cited: 121
Long-Range Attention Networks: Circuit Motifs Underlying Endogenously Controlled Stimulus Selection
Thilo Womelsdorf, Stefan Everling
Trends in Neurosciences (2015) Vol. 38, Iss. 11, pp. 682-700
Closed Access | Times Cited: 114
Deep Successor Reinforcement Learning
Tejas D. Kulkarni, Ardavan Saeedi, Simanta Gautam, et al.
arXiv (Cornell University) (2016)
Closed Access | Times Cited: 106
Conceptual Alignment: How Brains Achieve Mutual Understanding
Arjen Stolk, Lennart Verhagen, Ivan Toni
Trends in Cognitive Sciences (2016) Vol. 20, Iss. 3, pp. 180-191
Open Access | Times Cited: 103
Learning action-oriented models through active inference
Alexander Tschantz, Anil K. Seth, Christopher L. Buckley
PLoS Computational Biology (2020) Vol. 16, Iss. 4, pp. e1007805-e1007805
Open Access | Times Cited: 94
Decision-Making From the Animal Perspective: Bridging Ecology and Subjective Cognition
Sergey Budaev, Christian Jørgensen, Marc Mangel, et al.
Frontiers in Ecology and Evolution (2019) Vol. 7
Open Access | Times Cited: 90
Discovery of hierarchical representations for efficient planning
Momchil S. Tomov, Samyukta Yagati, Agni Kumar, et al.
PLoS Computational Biology (2020) Vol. 16, Iss. 4, pp. e1007594-e1007594
Open Access | Times Cited: 84
The Enactive Approach to Habits: New Concepts for the Cognitive Science of Bad Habits and Addiction
Susana Ramírez–Vizcaya, Tom Froese
Frontiers in Psychology (2019) Vol. 10
Open Access | Times Cited: 81
The Best Laid Plans: Computational Principles of Anterior Cingulate Cortex
Clay B. Holroyd, Tom Verguts
Trends in Cognitive Sciences (2021) Vol. 25, Iss. 4, pp. 316-329
Closed Access | Times Cited: 77
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