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:

Pavlovian Control of Escape and Avoidance
Alexander J. Millner, Samuel J. Gershman, Matthew K. Nock, et al.
Journal of Cognitive Neuroscience (2017) Vol. 30, Iss. 10, pp. 1379-1390
Open Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Improving the reliability of model-based decision-making estimates in the two-stage decision task with reaction-times and drift-diffusion modeling
Nitzan Shahar, Tobias U. Hauser, Michael Moutoussis, et al.
PLoS Computational Biology (2019) Vol. 15, Iss. 2, pp. e1006803-e1006803
Open Access | Times Cited: 155

Advances in the computational understanding of mental illness
Quentin J. M. Huys, Michael Browning, Martin P. Paulus, et al.
Neuropsychopharmacology (2020) Vol. 46, Iss. 1, pp. 3-19
Open Access | Times Cited: 135

Pain: A Precision Signal for Reinforcement Learning and Control
Ben Seymour
Neuron (2019) Vol. 101, Iss. 6, pp. 1029-1041
Open Access | Times Cited: 133

Advancing the Understanding of Suicide: The Need for Formal Theory and Rigorous Descriptive Research
Alexander J. Millner, Donald J. Robinaugh, Matthew K. Nock
Trends in Cognitive Sciences (2020) Vol. 24, Iss. 9, pp. 704-716
Open Access | Times Cited: 116

A flexible framework for simulating and fitting generalized drift-diffusion models
Maxwell Shinn, Norman H. Lam, John D. Murray
eLife (2020) Vol. 9
Open Access | Times Cited: 108

A practical introduction to using the drift diffusion model of decision-making in cognitive psychology, neuroscience, and health sciences
Catherine E. Myers, Alejandro Interian, Ahmed A. Moustafa
Frontiers in Psychology (2022) Vol. 13
Open Access | Times Cited: 48

Mutual benefits: Combining reinforcement learning with sequential sampling models
Steven Miletić, Russell J. Boag, Birte U. Forstmann
Neuropsychologia (2019) Vol. 136, pp. 107261-107261
Open Access | Times Cited: 62

A new model of decision processing in instrumental learning tasks
Steven Miletić, Russell J. Boag, Anne C. Trutti, et al.
eLife (2021) Vol. 10
Open Access | Times Cited: 54

Suicidal thoughts and behaviors are associated with an increased decision-making bias for active responses to escape aversive states.
Alexander J. Millner, Hanneke E.M. den Ouden, Samuel J. Gershman, et al.
Journal of Abnormal Psychology (2018) Vol. 128, Iss. 2, pp. 106-118
Open Access | Times Cited: 51

Aversive motivation and cognitive control
Debbie Yee, Xiamin Leng, Amitai Shenhav, et al.
Neuroscience & Biobehavioral Reviews (2021) Vol. 133, pp. 104493-104493
Open Access | Times Cited: 38

Negative affect-driven impulsivity as hierarchical model-based overgeneralization
A. Okan, Michael N. Hallquist
Trends in Cognitive Sciences (2025)
Closed Access

Dorsal striatal dopamine D1 receptor availability predicts an instrumental bias in action learning
Lieke de Boer, Jan Axelsson, Rumana Chowdhury, et al.
Proceedings of the National Academy of Sciences (2018) Vol. 116, Iss. 1, pp. 261-270
Open Access | Times Cited: 42

Computational perspectives on human fear and anxiety
Yumeya Yamamori, Oliver J. Robinson
Neuroscience & Biobehavioral Reviews (2022) Vol. 144, pp. 104959-104959
Open Access | Times Cited: 16

Motivational context determines the impact of aversive outcomes on mental effort allocation
Mahalia Prater Fahey, Debbie Yee, Xiamin Leng, et al.
Cognition (2024) Vol. 254, pp. 105973-105973
Closed Access | Times Cited: 3

Uncertainty and Exploration
Samuel J. Gershman
bioRxiv (Cold Spring Harbor Laboratory) (2018)
Open Access | Times Cited: 30

Computational approaches and machine learning for individual-level treatment predictions
Martin P. Paulus, Wesley K. Thompson
Psychopharmacology (2019) Vol. 238, Iss. 5, pp. 1231-1239
Open Access | Times Cited: 26

Caution Influences Avoidance and Approach Behaviors Differently
Ji He Zhou, Sebastián Hormigo, Muhammad Sajid, et al.
Journal of Neuroscience (2022) Vol. 42, Iss. 30, pp. 5899-5915
Open Access | Times Cited: 12

Improving the Reliability of the Pavlovian Go/No-Go Task
Samuel Zorowitz, Gili Karni, Natalie Paredes, et al.
(2023)
Open Access | Times Cited: 6

Driven by Pain, Not Gain: Computational Approaches to Aversion-Related Decision Making in Psychiatry
Martin P. Paulus
Biological Psychiatry (2019) Vol. 87, Iss. 4, pp. 359-367
Open Access | Times Cited: 19

A Computational Model of Hopelessness and Active-Escape Bias in Suicidality
Povilas Karvelis, Andreea O. Diaconescu
Computational Psychiatry (2022) Vol. 6, Iss. 1, pp. 34-34
Open Access | Times Cited: 9

Decision‐making biases in suicide attempters with major depressive disorder: A computational modeling study using the balloon analog risk task (BART)
Qinyu Liu, Runqing Zhong, Xinlei Ji, et al.
Depression and Anxiety (2022) Vol. 39, Iss. 12, pp. 845-857
Open Access | Times Cited: 9

Causal role of the dorsolateral prefrontal cortex in modulating the balance between Pavlovian and instrumental systems in the punishment domain
Hyeonjin Kim, Jihyun K. Hur, Mina Kwon, et al.
PLoS ONE (2023) Vol. 18, Iss. 6, pp. e0286632-e0286632
Open Access | Times Cited: 5

Reinforcement learning with associative or discriminative generalization across states and actions: fMRI at 3 T and 7 T
Jaron T. Colas, Neil M. Dundon, Raphael T. Gerraty, et al.
Human Brain Mapping (2022) Vol. 43, Iss. 15, pp. 4750-4790
Open Access | Times Cited: 8

Active reinforcement learning versus action bias and hysteresis: control with a mixture of experts and nonexperts
Jaron T. Colas, John P. O’Doherty, Scott T. Grafton
PLoS Computational Biology (2024) Vol. 20, Iss. 3, pp. e1011950-e1011950
Open Access | Times Cited: 1

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