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:

Bayesian analysis of the piecewise diffusion decision model
William R. Holmes, Jennifer S. Trueblood
Behavior Research Methods (2017) Vol. 50, Iss. 2, pp. 730-743
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Accounting for attention in sequential sampling models of decision making
Ian Krajbich
Current Opinion in Psychology (2018) Vol. 29, pp. 6-11
Closed Access | Times Cited: 129

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: 110

Attentional priorities drive effects of time pressure on altruistic choice
Yi Yang Teoh, Ziqing Yao, William A. Cunningham, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 83

Response-time data provide critical constraints on dynamic models of multi-alternative, multi-attribute choice
Nathan J. Evans, William R. Holmes, Jennifer S. Trueblood
Psychonomic Bulletin & Review (2019) Vol. 26, Iss. 3, pp. 901-933
Open Access | Times Cited: 61

Urgency, leakage, and the relative nature of information processing in decision-making.
Jennifer S. Trueblood, Andrew Heathcote, Nathan J. Evans, et al.
Psychological Review (2020) Vol. 128, Iss. 1, pp. 160-186
Open Access | Times Cited: 49

A parameter recovery assessment of time-variant models of decision-making
Nathan J. Evans, Jennifer S. Trueblood, William R. Holmes
Behavior Research Methods (2019) Vol. 52, Iss. 1, pp. 193-206
Open Access | Times Cited: 44

Beyond Drift Diffusion Models: Fitting a Broad Class of Decision and Reinforcement Learning Models with HDDM
Alexander Fengler, Krishn Bera, Mads L. Pedersen, et al.
Journal of Cognitive Neuroscience (2022) Vol. 34, Iss. 10, pp. 1780-1805
Closed Access | Times Cited: 25

Regular and anomalous diffusion: I. Foundations
Iddo Eliazar
Journal of Physics A Mathematical and Theoretical (2024) Vol. 57, Iss. 23, pp. 233002-233002
Open Access | Times Cited: 4

Approximating Bayesian Inference through Model Simulation
Brandon M. Turner, Trisha Van Zandt
Trends in Cognitive Sciences (2018) Vol. 22, Iss. 9, pp. 826-840
Closed Access | Times Cited: 36

The impact of speed and bias on the cognitive processes of experts and novices in medical image decision-making
Jennifer S. Trueblood, William R. Holmes, Adam C. Seegmiller, et al.
Cognitive Research Principles and Implications (2018) Vol. 3, Iss. 1
Open Access | Times Cited: 34

Optimal models of decision-making in dynamic environments
Zachary P. Kilpatrick, William R. Holmes, Tahra L. Eissa, et al.
Current Opinion in Neurobiology (2019) Vol. 58, pp. 54-60
Open Access | Times Cited: 30

A method, framework, and tutorial for efficiently simulating models of decision-making
Nathan J. Evans
Behavior Research Methods (2019) Vol. 51, Iss. 5, pp. 2390-2404
Open Access | Times Cited: 23

Disentangling prevalence induced biases in medical image decision-making
Jennifer S. Trueblood, Quentin Eichbaum, Adam C. Seegmiller, et al.
Cognition (2021) Vol. 212, pp. 104713-104713
Closed Access | Times Cited: 20

A Joint Deep Neural Network and Evidence Accumulation Modeling Approach to Human Decision-Making with Naturalistic Images
William R. Holmes, Payton O’Daniels, Jennifer S. Trueblood
Computational Brain & Behavior (2019) Vol. 3, Iss. 1, pp. 1-12
Closed Access | Times Cited: 19

Parallel probability density approximation
Yi-Shin Lin, Andrew Heathcote, William R. Holmes
Behavior Research Methods (2019) Vol. 51, Iss. 6, pp. 2777-2799
Open Access | Times Cited: 18

PyBEAM: A Bayesian approach to parameter inference for a wide class of binary evidence accumulation models
Matthew Murrow, William R. Holmes
Behavior Research Methods (2023) Vol. 56, Iss. 3, pp. 2636-2656
Open Access | Times Cited: 5

Evidence accumulation models with R: A practical guide to hierarchical Bayesian methods
Yi-Shin Lin, Luke Strickland
The Quantitative Methods for Psychology (2020) Vol. 16, Iss. 2, pp. 133-153
Open Access | Times Cited: 13

Attentional Dynamics Explain the Elusive Nature of Context Effects
Jennifer S. Trueblood, Yanjun Liu, Matthew Murrow, et al.
(2022)
Open Access | Times Cited: 7

Evidence accumulation, not “self-control,” explains dorsolateral prefrontal activation during normative choice
Cendri A. Hutcherson, Anita Tusche
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 10

Accumulation is late and brief in preferential choice
Charlotte Edmunds, Devdeepta Bose, Colin F. Camerer, et al.
(2020)
Open Access | Times Cited: 8

Feeling the Beat (and Seeing It, Too): Vibrotactile, Visual, and Bimodal Rate Discrimination
Mercedes B. Villalonga, Rachel F. Sussman, Robert Sekuler
Multisensory Research (2019) Vol. 33, Iss. 1, pp. 31-59
Open Access | Times Cited: 6

Understanding the complexity of computational models through optimization and sloppy parameter analyses: The case of the Connectionist Dual-Process Model
Conrad Perry, Rick Evertz, Marco Zorzi, et al.
Journal of Memory and Language (2023) Vol. 134, pp. 104468-104468
Open Access | Times Cited: 2

Dissociable mechanisms govern when and how strongly reward attributes affect decisions
Silvia U. Maier, Anjali Raja Beharelle, Rafael Polanìa, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2018)
Open Access | Times Cited: 3

Page 1 - Next Page

Scroll to top