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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:

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

Showing 1-25 of 84 citing articles:

Schemas, reinforcement learning and the medial prefrontal cortex
Oded Bein, Yael Niv
Nature reviews. Neuroscience (2025)
Open Access | Times Cited: 4
Reinforcement-learning in fronto-striatal circuits
Bruno B. Averbeck, John P. O’Doherty
Neuropsychopharmacology (2021) Vol. 47, Iss. 1, pp. 147-162
Open Access | Times Cited: 95
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: 78
Clone-structured graph representations enable flexible learning and vicarious evaluation of cognitive maps
Dileep George, Rajeev Rikhye, Nishad Gothoskar, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 67
Intelligent problem-solving as integrated hierarchical reinforcement learning
Manfred Eppe, Christian Gumbsch, Matthias Kerzel, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 1, pp. 11-20
Closed Access | Times Cited: 60
The relationship between habits and motor skills in humans
Yue Du, John W. Krakauer, Adrian M. Haith
Trends in Cognitive Sciences (2022) Vol. 26, Iss. 5, pp. 371-387
Open Access | Times Cited: 60
Planning with Theory of Mind
Mark K. Ho, Rebecca Saxe, Fiery Cushman
Trends in Cognitive Sciences (2022) Vol. 26, Iss. 11, pp. 959-971
Open Access | Times Cited: 55
Humans decompose tasks by trading off utility and computational cost
Carlos G. Correa, Mark K. Ho, Frederick Callaway, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 6, pp. e1011087-e1011087
Open Access | Times Cited: 28
A sensory–motor theory of the neocortex
Rajesh P. N. Rao
Nature Neuroscience (2024) Vol. 27, Iss. 7, pp. 1221-1235
Closed Access | Times Cited: 12
A cellular basis for mapping behavioural structure
Mohamady El-Gaby, Adam Harris, James C. R. Whittington, et al.
Nature (2024)
Open Access | Times Cited: 9
Expert navigators deploy rational complexity–based decision precaching for large-scale real-world planning
Pablo Fernández Velasco, Eva‐Maria Griesbauer, Iva K. Brunec, et al.
Proceedings of the National Academy of Sciences (2025) Vol. 122, Iss. 4
Open Access | Times Cited: 1
Computational evidence for hierarchically structured reinforcement learning in humans
Maria K. Eckstein, Anne Collins
Proceedings of the National Academy of Sciences (2020) Vol. 117, Iss. 47, pp. 29381-29389
Open Access | Times Cited: 67
Policy compression: An information bottleneck in action selection
Lucy Lai, Samuel J. Gershman
˜The œPsychology of learning and motivation/˜The œpsychology of learning and motivation (2021), pp. 195-232
Closed Access | Times Cited: 50
Multi-task reinforcement learning in humans
Momchil S. Tomov, Eric Schulz, Samuel J. Gershman
Nature Human Behaviour (2021) Vol. 5, Iss. 6, pp. 764-773
Open Access | Times Cited: 46
Humans account for cognitive costs when finding shortcuts: An information-theoretic analysis of navigation
Gian Luca Lancia, Mattia Eluchans, Marco D’Alessandro, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 1, pp. e1010829-e1010829
Open Access | Times Cited: 14
Spatial and Temporal Hierarchy for Autonomous Navigation Using Active Inference in Minigrid Environment
Daria de Tinguy, Toon Van de Maele, Tim Verbelen, et al.
Entropy (2024) Vol. 26, Iss. 1, pp. 83-83
Open Access | Times Cited: 5
Reinforcement learning and its connections with neuroscience and psychology
Ajay Subramanian, Sharad Chitlangia, Veeky Baths
Neural Networks (2021) Vol. 145, pp. 271-287
Closed Access | Times Cited: 31
Eye movements reveal spatiotemporal dynamics of visually-informed planning in navigation
Seren L. Zhu, Kaushik J. Lakshminarasimhan, Nastaran Arfaei, et al.
eLife (2022) Vol. 11
Open Access | Times Cited: 20
Building machines that learn and think with people
Katherine M. Collins, Ilia Sucholutsky, Umang Bhatt, et al.
Nature Human Behaviour (2024) Vol. 8, Iss. 10, pp. 1851-1863
Closed Access | Times Cited: 4
Cognitive maps for hierarchical spaces in the human brain
Michael Peer, Russell A. Epstein
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Adaptive planning depth in human problem-solving
Mattia Eluchans, Gian Luca Lancia, Antonella Maselli, et al.
Royal Society Open Science (2025) Vol. 12, Iss. 4
Open Access
Temporal and state abstractions for efficient learning, transfer, and composition in humans.
Liyu Xia, Anne Collins
Psychological Review (2021) Vol. 128, Iss. 4, pp. 643-666
Open Access | Times Cited: 24
Mice identify subgoal locations through an action-driven mapping process
Philip Shamash, Sebastian Lee, Andrew Saxe, et al.
Neuron (2023) Vol. 111, Iss. 12, pp. 1966-1978.e8
Open Access | Times Cited: 10
Cognitive Control
David Badre
Annual Review of Psychology (2024) Vol. 76, Iss. 1, pp. 167-195
Closed Access | Times Cited: 3
The representation and valuation of subgoals in the human brain during model-based hierarchical behavior
Cooper D. Grossman, Vincent Man, John P. O’Doherty
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
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