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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:

Theory of mind as inverse reinforcement learning
Julian Jara‐Ettinger
Current Opinion in Behavioral Sciences (2019) Vol. 29, pp. 105-110
Closed Access | Times Cited: 159

Showing 1-25 of 159 citing articles:

The neural and computational systems of social learning
Andreas Olsson, Ewelina Knapska, Björn Lindström
Nature reviews. Neuroscience (2020) Vol. 21, Iss. 4, pp. 197-212
Closed Access | Times Cited: 235
Artificial empathy in marketing interactions: Bridging the human-AI gap in affective and social customer experience
Yuping Liu–Thompkins, Shintaro Okazaki, Hairong Li
Journal of the Academy of Marketing Science (2022) Vol. 50, Iss. 6, pp. 1198-1218
Open Access | Times Cited: 185
Foundations of theory of mind and its development in early childhood
Hannes Rakoczy
Nature Reviews Psychology (2022) Vol. 1, Iss. 4, pp. 223-235
Closed Access | Times Cited: 88
Social Interactions for Autonomous Driving: A Review and Perspectives
Wenshuo Wang, Letian Wang, Chengyuan Zhang, et al.
Foundations and Trends in Robotics (2022) Vol. 10, Iss. 3-4, pp. 198-376
Open Access | Times Cited: 86
Knowing me, knowing you: theory of mind in AI
Fabio Cuzzolin, Alice Morelli, Bogdan-Ionuţ Cîrstea, et al.
Psychological Medicine (2020) Vol. 50, Iss. 7, pp. 1057-1061
Open Access | Times Cited: 110
The computational challenge of social learning
Oriel FeldmanHall, Matthew R. Nassar
Trends in Cognitive Sciences (2021) Vol. 25, Iss. 12, pp. 1045-1057
Open Access | Times Cited: 62
Hybrid fuzzy AHP–TOPSIS approach to prioritizing solutions for inverse reinforcement learning
Vinay Kukreja
Complex & Intelligent Systems (2022) Vol. 9, Iss. 1, pp. 493-513
Open Access | Times Cited: 53
The Emerging Science of Interacting Minds
Thalia Wheatley, Mark Thornton, Arjen Stolk, et al.
Perspectives on Psychological Science (2023) Vol. 19, Iss. 2, pp. 355-373
Open Access | Times Cited: 24
Aberrant computational mechanisms of social learning and decision-making in schizophrenia and borderline personality disorder
Lara Henco, Andreea O. Diaconescu, Juha M. Lahnakoski, et al.
PLoS Computational Biology (2020) Vol. 16, Iss. 9, pp. e1008162-e1008162
Open Access | Times Cited: 65
The Naïve Utility Calculus as a unified, quantitative framework for action understanding
Julian Jara‐Ettinger, Laura Schulz, Joshua B. Tenenbaum
Cognitive Psychology (2020) Vol. 123, pp. 101334-101334
Open Access | Times Cited: 64
Learning from other minds: an optimistic critique of reinforcement learning models of social learning
Natalia Vélez, Hyowon Gweon
Current Opinion in Behavioral Sciences (2021) Vol. 38, pp. 110-115
Open Access | Times Cited: 48
Theory of Mind and Preference Learning at the Interface of Cognitive Science, Neuroscience, and AI: A Review
Christelle Langley, Bogdan Ionut Cirstea, Fabio Cuzzolin, et al.
Frontiers in Artificial Intelligence (2022) Vol. 5
Open Access | Times Cited: 35
Emotion prediction as computation over a generative theory of mind
Sean Dae Houlihan, Max Kleiman‐Weiner, Luke Hewitt, et al.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2023) Vol. 381, Iss. 2251
Open Access | Times Cited: 22
Social learning with a grain of salt
Alexandra Witt, Wataru Toyokawa, Wolfgang Gaissmaier, et al.
(2023)
Open Access | Times Cited: 21
From Deep Learning to Rational Machines
Cameron Buckner
Oxford University Press eBooks (2023)
Closed Access | Times Cited: 21
Mind the gap: challenges of deep learning approaches to Theory of Mind
Jaan Aru, Aqeel Labash, Oriol Corcoll, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 9, pp. 9141-9156
Open Access | Times Cited: 18
Computational Social Psychology
Fiery Cushman
Annual Review of Psychology (2023) Vol. 75, Iss. 1, pp. 625-652
Closed Access | Times Cited: 14
Political reinforcement learners
Lion Schulz, Rahul Bhui
Trends in Cognitive Sciences (2024) Vol. 28, Iss. 3, pp. 210-222
Open Access | Times Cited: 5
Humans flexibly integrate social information despite interindividual differences in reward
Alexandra Witt, Wataru Toyokawa, Kevin N. Laland, et al.
(2024)
Open Access | Times Cited: 5
Expecting the Unexpected: Infants Use Others’ Surprise to Revise Their Own Expectations
Yang Wu, Megan Merrick, Hyowon Gweon
Open Mind (2024) Vol. 8, pp. 67-83
Open Access | Times Cited: 5
The cultural evolution of mind-modelling
Richard Moore
Synthese (2020) Vol. 199, Iss. 1-2, pp. 1751-1776
Open Access | Times Cited: 37
Robot learning from demonstration for path planning: A review
Zongwu Xie, Qi Zhang, Zainan Jiang, et al.
Science China Technological Sciences (2020) Vol. 63, Iss. 8, pp. 1325-1334
Closed Access | Times Cited: 35
Simulation, Predictive Coding, and the Shared World
Robert M. Gordon
Springer eBooks (2021), pp. 237-255
Closed Access | Times Cited: 29
Cognitive Science as a Source of Forward and Inverse Models of Human Decisions for Robotics and Control
Mark K. Ho, Thomas L. Griffiths
Annual Review of Control Robotics and Autonomous Systems (2021) Vol. 5, Iss. 1, pp. 33-53
Open Access | Times Cited: 29
Social learning across adolescence: A Bayesian neurocognitive perspective
Lieke Hofmans, Wouter van den Bos
Developmental Cognitive Neuroscience (2022) Vol. 58, pp. 101151-101151
Open Access | Times Cited: 22
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