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:

Implementations are not specifications: Specification, replication and experimentation in computational cognitive modeling
Richard Cooper, Olivia Guest
Cognitive Systems Research (2013) Vol. 27, pp. 42-49
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

How Computational Modeling Can Force Theory Building in Psychological Science
Olivia Guest, Andrea E. Martin
Perspectives on Psychological Science (2021) Vol. 16, Iss. 4, pp. 789-802
Open Access | Times Cited: 303

Theory Before the Test: How to Build High-Verisimilitude Explanatory Theories in Psychological Science
Iris van Rooij, Giosuè Baggio
Perspectives on Psychological Science (2021) Vol. 16, Iss. 4, pp. 682-697
Open Access | Times Cited: 298

Exploratory hypothesis tests can be more compelling than confirmatory hypothesis tests
Mark Rubin, Chris Donkin
Philosophical Psychology (2022), pp. 1-29
Open Access | Times Cited: 48

Formalizing Verbal Theories
Iris van Rooij, Mark Blokpoel
Social Psychology (2020) Vol. 51, Iss. 5, pp. 285-298
Open Access | Times Cited: 56

If Mathematical Psychology Did Not Exist We Might Need to Invent It: A Comment on Theory Building in Psychology
Danielle Navarro
Perspectives on Psychological Science (2021) Vol. 16, Iss. 4, pp. 707-716
Open Access | Times Cited: 40

The forms and meanings of grammatical markers support efficient communication
Francis Mollica, Geoff Bacon, Noga Zaslavsky, et al.
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 49
Open Access | Times Cited: 33

The logical structure of experiments lays the foundation for a theory of reproducibility
Erkan O. Buzbas, Berna Devezer, Bert Baumgaertner
Royal Society Open Science (2023) Vol. 10, Iss. 3
Open Access | Times Cited: 15

Reasoning Goals and Representational Decisions in Computational Cognitive Neuroscience: Lessons From the Drift Diffusion Model
Ari Khoudary, Megan A. K. Peters, Aaron M. Bornstein
European Journal of Neuroscience (2025) Vol. 61, Iss. 7
Closed Access

The cognitive systems toolkit and the CST reference cognitive architecture
André Luis Ogando Paraense, Klaus Raizer, Suelen M. de Paula, et al.
Biologically Inspired Cognitive Architectures (2016) Vol. 17, pp. 32-48
Closed Access | Times Cited: 35

An exploration of error-driven learning in simple two-layer networks from a discriminative learning perspective
Dorothée B. Hoppe, Petra Hendriks, Michael Ramscar, et al.
Behavior Research Methods (2022) Vol. 54, Iss. 5, pp. 2221-2251
Open Access | Times Cited: 17

Preregistration in diverse contexts: a preregistration template for the application of cognitive models
Sophia Crüwell, Nathan J. Evans
Royal Society Open Science (2021) Vol. 8, Iss. 10
Open Access | Times Cited: 22

Double trouble? The communication dimension of the reproducibility crisis in experimental psychology and neuroscience
Witold Hensel
European Journal for Philosophy of Science (2020) Vol. 10, Iss. 3
Open Access | Times Cited: 23

Testable or bust: theoretical lessons for predictive processing
Marcin Miłkowski, Piotr Litwin
Synthese (2022) Vol. 200, Iss. 6
Open Access | Times Cited: 13

CSCL: a learning and collaboration science?
Michael J. Baker, Peter Reimann
International Journal of Computer-Supported Collaborative Learning (2024) Vol. 19, Iss. 3, pp. 273-281
Open Access | Times Cited: 2

Lessons for Theory from Scientific Domains Where Evidence is Sparse or Indirect
Marieke Woensdregt, Riccardo Fusaroli, Patricia Rich, et al.
Computational Brain & Behavior (2024) Vol. 7, Iss. 4, pp. 588-607
Open Access | Times Cited: 2

Formalizing verbal theories: A tutorial by dialogue
Iris van Rooij, Mark Blokpoel
(2020)
Open Access | Times Cited: 18

Representational unification in cognitive science: Is embodied cognition a unifying perspective?
Marcin Miłkowski, Przemysław Nowakowski
Synthese (2019) Vol. 199, Iss. S1, pp. 67-88
Open Access | Times Cited: 15

On Simulating Neural Damage in Connectionist Networks
Olivia Guest, Andrea Caso, Richard Cooper
Computational Brain & Behavior (2020) Vol. 3, Iss. 3, pp. 289-321
Open Access | Times Cited: 10

Explanations in cognitive science: unification versus pluralism
Marcin Miłkowski, Mateusz Hohol
Synthese (2020) Vol. 199, Iss. S1, pp. 1-17
Open Access | Times Cited: 9

Could simplified stimuli change how the brain performs visual search tasks? A deep neural network study
David Nicholson, Astrid A. Prinz
Journal of Vision (2022) Vol. 22, Iss. 7, pp. 3-3
Open Access | Times Cited: 5

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