Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 across development: What insights can we draw from a decade of research?
Kate Nussenbaum, Catherine A. Hartley
Developmental Cognitive Neuroscience (2019) Vol. 40, pp. 100733-100733
Open Access | Times Cited: 194

Showing 1-25 of 194 citing articles:

Childhood as a solution to explore–exploit tensions
Alison Gopnik
Philosophical Transactions of the Royal Society B Biological Sciences (2020) Vol. 375, Iss. 1803, pp. 20190502-20190502
Open Access | Times Cited: 264
A cooperative water wave optimization algorithm with reinforcement learning for the distributed assembly no-idle flowshop scheduling problem
Fuqing Zhao, Lixin Zhang, Jie Cao, et al.
Computers & Industrial Engineering (2020) Vol. 153, pp. 107082-107082
Closed Access | Times Cited: 148
Linking mPFC circuit maturation to the developmental regulation of emotional memory and cognitive flexibility
Cassandra B. Klune, Benita Jin, Laura A. DeNardo
eLife (2021) Vol. 10
Open Access | Times Cited: 108
The interpretation of computational model parameters depends on the context
Maria K. Eckstein, Sarah L. Master, Liyu Xia, et al.
eLife (2022) Vol. 11
Open Access | Times Cited: 72
Dynamic computational phenotyping of human cognition
Roey Schurr, Daniel Reznik, Hanna Hillman, et al.
Nature Human Behaviour (2024) Vol. 8, Iss. 5, pp. 917-931
Open Access | Times Cited: 23
Goal-directed learning in adolescence: neurocognitive development and contextual influences
Linda Wilbrecht, Juliet Y. Davidow
Nature reviews. Neuroscience (2024) Vol. 25, Iss. 3, pp. 176-194
Closed Access | Times Cited: 16
Children are more exploratory and learn more than adults in an approach-avoid task
Emily Liquin, Alison Gopnik
Cognition (2021) Vol. 218, pp. 104940-104940
Open Access | Times Cited: 92
What do reinforcement learning models measure? Interpreting model parameters in cognition and neuroscience
Maria K. Eckstein, Linda Wilbrecht, Anne Collins
Current Opinion in Behavioral Sciences (2021) Vol. 41, pp. 128-137
Open Access | Times Cited: 84
States of curiosity and interest enhance memory differently in adolescents and in children
Yana Fandakova, Matthias J. Gruber
Developmental Science (2020) Vol. 24, Iss. 1
Open Access | Times Cited: 82
Humans monitor learning progress in curiosity-driven exploration
Alexandr Ten, Pramod Kaushik, Pierre Yves Oudeyer, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 56
Reinforcement learning and Bayesian inference provide complementary models for the unique advantage of adolescents in stochastic reversal
Maria K. Eckstein, Sarah L. Master, Ronald E. Dahl, et al.
Developmental Cognitive Neuroscience (2022) Vol. 55, pp. 101106-101106
Open Access | Times Cited: 53
Valence biases in reinforcement learning shift across adolescence and modulate subsequent memory
Gail Rosenbaum, Hannah L. Grassie, Catherine A. Hartley
eLife (2022) Vol. 11
Open Access | Times Cited: 52
Developmental changes in exploration resemble stochastic optimization
Anna P. Giron, Simon Ciranka, Eric Schulz, et al.
Nature Human Behaviour (2023) Vol. 7, Iss. 11, pp. 1955-1967
Open Access | Times Cited: 40
Early adversity and the development of explore–exploit tradeoffs
Willem E. Frankenhuis, Alison Gopnik
Trends in Cognitive Sciences (2023) Vol. 27, Iss. 7, pp. 616-630
Open Access | Times Cited: 33
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
Childhood unpredictability and the development of exploration
Yuyan Xu, Madeline B. Harms, C. Shawn Green, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 49
Open Access | Times Cited: 24
Curiosity: primate neural circuits for novelty and information seeking
Ilya E. Monosov
Nature reviews. Neuroscience (2024) Vol. 25, Iss. 3, pp. 195-208
Closed Access | Times Cited: 10
Exploration, exploitation, and development: Developmental shifts in decision‐making
Nathaniel J. Blanco, Vladimir M. Sloutsky
Child Development (2024) Vol. 95, Iss. 4, pp. 1287-1298
Closed Access | Times Cited: 9
Humans rationally balance detailed and temporally abstract world models
Ari E. Kahn, Nathaniel D. Daw
Communications Psychology (2025) Vol. 3, Iss. 1
Open Access | Times Cited: 1
Stochastic decisions support optimal foraging of volatile environments, and are disrupted by anxiety
Alex Lloyd, Ryan McKay, Nicholas Furl
Cognitive Affective & Behavioral Neuroscience (2025)
Open Access | Times Cited: 1
Genetic changes linked to two different syndromic forms of autism enhance reinforcement learning in adolescent male but not female mice
Juliana Chase, Jing‐Jing Li, Wan Chen Lin, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access | Times Cited: 1
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
Mechanisms of learning and plasticity in childhood and adolescence
Yana Fandakova, Catherine A. Hartley
Developmental Cognitive Neuroscience (2020) Vol. 42, pp. 100764-100764
Open Access | Times Cited: 58
The Sweet Spot: When Children’s Developing Abilities, Brains, and Knowledge Make Them Better Learners Than Adults
Samantha Gualtieri, Amy S. Finn
Perspectives on Psychological Science (2022) Vol. 17, Iss. 5, pp. 1322-1338
Open Access | Times Cited: 35
The computational relationship between reinforcement learning, social inference, and paranoia
Joseph M Barnby, Mitul A. Mehta, Michael Moutoussis
PLoS Computational Biology (2022) Vol. 18, Iss. 7, pp. e1010326-e1010326
Open Access | Times Cited: 29
Page 1 - Next Page

Scroll to top