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:

A counterfactual simulation model of causal judgments for physical events
Tobias Gerstenberg, Noah D. Goodman, David A. Lagnado, et al.
(2020)
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations
Barry Smyth, Mark T. Keane
Lecture notes in computer science (2022), pp. 18-32
Closed Access | Times Cited: 19

Counterfactuals and the logic of causal selection.
Tadeg Quillien, Christopher G. Lucas
Psychological Review (2023) Vol. 131, Iss. 5, pp. 1208-1234
Open Access | Times Cited: 10

Illusory implications: incidental exposure to ideas can induce beliefs
Justin Mikell, Derek Powell
Royal Society Open Science (2025) Vol. 12, Iss. 1
Open Access

Changing Minds ― Epistemic Interventions in Causal Reasoning
Lara Kirfel, David A. Lagnado
(2021)
Open Access | Times Cited: 15

A Review of Causality for Learning Algorithms in Medical Image Analysis
Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz
The Journal of Machine Learning for Biomedical Imaging (2022) Vol. 1, Iss. November 2022, pp. 1-17
Open Access | Times Cited: 9

Moral Dynamics: Grounding Moral Judgment in Intuitive Physics and Intuitive Psychology
Felix Sosa, Tomer Ullman, Joshua B. Tenenbaum, et al.
(2021)
Closed Access | Times Cited: 11

Decomposing modal thought
Jonathan Phillips, Angelika Kratzer
(2022)
Open Access | Times Cited: 8

A Semantics for Causing, Enabling, and Preventing Verbs Using Structural Causal Models
Angela Cao, Atticus Geiger, Elisa Kreiss, et al.
(2023)
Open Access | Times Cited: 4

A counterfactual simulation model of causal language
Ari Beller, Tobias Gerstenberg
(2023)
Open Access | Times Cited: 4

Computational basis of hierarchical and counterfactual information processing
Mahdi Ramadan, Cheng Tang, Nicholas Watters, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

The capacity limits of mental simulation
Halely Balaban, Tomer Ullman
(2024)
Open Access | Times Cited: 1

Confidence and Gradation in Causal Judgment
Kevin O’Neill, Paul Henne, Paul Bello, et al.
(2021)
Closed Access | Times Cited: 8

Counterfactuals and the logic of causal selection
Tadeg Quillien, Christopher G. Lucas
(2022)
Open Access | Times Cited: 6

CRAB: Assessing the Strength of Causal Relationships Between Real-world Events
Angelika Romanou, Syrielle Montariol, Debjit Paul, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 3

Mental Jenga: A counterfactual simulation model of causal judgments about physical support
Liang Zhou, Kevin A. Smith, Joshua B. Tenenbaum, et al.
(2022)
Open Access | Times Cited: 5

That was close! A counterfactual simulation model of causal judgments about decisions
Sarah A. Wu, Shruti Sridhar, Tobias Gerstenberg
(2022)
Open Access | Times Cited: 5

Double Prevention, Causal Judgments, and Counterfactuals
Paul Henne, Kevin O’Neill
(2022)
Open Access | Times Cited: 4

Stop, children what’s that sound? Multi-modal inference through mental simulation
Joseph Outa, Xi Jia Zhou, Hyowon Gweon, et al.
(2022)
Open Access | Times Cited: 4

Looking into the past: Eye-tracking mental simulation in physical inference
Ari Beller, Yingchen Xu, Scott W. Linderman, et al.
(2022)
Open Access | Times Cited: 4

If not me, then who? Responsibility and replacement
Sarah A. Wu, Tobias Gerstenberg
(2023)
Open Access | Times Cited: 2

Learning what matters: Causal abstraction in human inference
Steven Shin, Tobias Gerstenberg
(2023)
Open Access | Times Cited: 2

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