
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:
Expert agreement in prior elicitation and its effects on Bayesian inference
Angelika Marlene Stefan, Dimitris Katsimpokis, Quentin F. Gronau, et al.
Psychonomic Bulletin & Review (2022) Vol. 29, Iss. 5, pp. 1776-1794
Open Access | Times Cited: 20
Angelika Marlene Stefan, Dimitris Katsimpokis, Quentin F. Gronau, et al.
Psychonomic Bulletin & Review (2022) Vol. 29, Iss. 5, pp. 1776-1794
Open Access | Times Cited: 20
Showing 20 citing articles:
SMFL-based non-destructive assessment of probability density distribution of local cross-sectional corrosion degree of rebar
Junli Qiu, Weiping Zhang, Chao Jiang
Construction and Building Materials (2024) Vol. 417, pp. 135214-135214
Closed Access | Times Cited: 6
Junli Qiu, Weiping Zhang, Chao Jiang
Construction and Building Materials (2024) Vol. 417, pp. 135214-135214
Closed Access | Times Cited: 6
Bayes Factors for Mixed Models: Perspective on Responses
Johnny van Doorn, Frederik Aust, Julia M. Haaf, et al.
Computational Brain & Behavior (2023) Vol. 6, Iss. 1, pp. 127-139
Open Access | Times Cited: 13
Johnny van Doorn, Frederik Aust, Julia M. Haaf, et al.
Computational Brain & Behavior (2023) Vol. 6, Iss. 1, pp. 127-139
Open Access | Times Cited: 13
Had Enough of Experts? Quantitative Knowledge Retrieval From Large Language Models
David Selby, Yuichiro Iwashita, Kai Spriestersbach, et al.
Stat (2025) Vol. 14, Iss. 2
Open Access
David Selby, Yuichiro Iwashita, Kai Spriestersbach, et al.
Stat (2025) Vol. 14, Iss. 2
Open Access
Learning from learning loss: Bayesian updating in academic universal screening during learning disruptions
Garret J. Hall, Emma Doyle
Journal of School Psychology (2025) Vol. 109, pp. 101426-101426
Open Access
Garret J. Hall, Emma Doyle
Journal of School Psychology (2025) Vol. 109, pp. 101426-101426
Open Access
Advantages masquerading as “issues” in Bayesian hypothesis testing: A commentary on Tendeiro and Kiers (2019).
Don van Ravenzwaaij, Eric‐Jan Wagenmakers
Psychological Methods (2021) Vol. 27, Iss. 3, pp. 451-465
Open Access | Times Cited: 26
Don van Ravenzwaaij, Eric‐Jan Wagenmakers
Psychological Methods (2021) Vol. 27, Iss. 3, pp. 451-465
Open Access | Times Cited: 26
Bayesian hierarchical modeling: an introduction and reassessment
Myrthe Veenman, Angelika Marlene Stefan, Julia M. Haaf
Behavior Research Methods (2023) Vol. 56, Iss. 5, pp. 4600-4631
Open Access | Times Cited: 7
Myrthe Veenman, Angelika Marlene Stefan, Julia M. Haaf
Behavior Research Methods (2023) Vol. 56, Iss. 5, pp. 4600-4631
Open Access | Times Cited: 7
Advantages Masquerading as ‘Issues’ in Bayesian Hypothesis Testing: A Commentary on Tendeiro and Kiers (2019)
Don van Ravenzwaaij, Eric‐Jan Wagenmakers
(2019)
Open Access | Times Cited: 20
Don van Ravenzwaaij, Eric‐Jan Wagenmakers
(2019)
Open Access | Times Cited: 20
A Bayesian model for online customer reviews data in tourism research: a robust analysis
Emilio Gómez–Déniz, María del Carmen Martel Escobar, Francisco José Vázquez Polo
Cogent Business & Management (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Emilio Gómez–Déniz, María del Carmen Martel Escobar, Francisco José Vázquez Polo
Cogent Business & Management (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Research on three-state reliability evaluation method of high reliability system based on multi-source prior information
Jingde Huang, Zhangyu Huang, Xin Zhan
PeerJ Computer Science (2023) Vol. 9, pp. e1439-e1439
Open Access | Times Cited: 3
Jingde Huang, Zhangyu Huang, Xin Zhan
PeerJ Computer Science (2023) Vol. 9, pp. e1439-e1439
Open Access | Times Cited: 3
Bayes Factors for Mixed Models: Perspective on Responses
Johnny van Doorn, Frederik Aust, Julia M. Haaf, et al.
(2022)
Open Access | Times Cited: 3
Johnny van Doorn, Frederik Aust, Julia M. Haaf, et al.
(2022)
Open Access | Times Cited: 3
Effectiveness of an online recovery training for employees exposed to blurred boundaries between work and non-work: Bayesian analysis of a randomised controlled trial
Hanna Brückner, Sebastian Wallot, Hanne Horvath, et al.
BMJ Mental Health (2024) Vol. 27, Iss. 1, pp. e301016-e301016
Open Access
Hanna Brückner, Sebastian Wallot, Hanne Horvath, et al.
BMJ Mental Health (2024) Vol. 27, Iss. 1, pp. e301016-e301016
Open Access
Investigating the Effect of Interface Scaffolding and Example Design on Learning and Performance in a Code-Tracing Tutor
Jay Jennings
(2024)
Open Access
Jay Jennings
(2024)
Open Access
Refining Bayesian hierarchical MPT modeling: Integrating prior knowledge and ordinal expectations
Alexandra Sarafoglou, Beatrice G. Kuhlmann, Frederik Aust, et al.
Behavior Research Methods (2024) Vol. 56, Iss. 7, pp. 6557-6581
Open Access
Alexandra Sarafoglou, Beatrice G. Kuhlmann, Frederik Aust, et al.
Behavior Research Methods (2024) Vol. 56, Iss. 7, pp. 6557-6581
Open Access
Learning from Learning Loss: Bayesian Updating in Academic Universal Screening During Learning Disruptions
Garret J. Hall, Emma E.H. Doyle
(2023)
Open Access | Times Cited: 1
Garret J. Hall, Emma E.H. Doyle
(2023)
Open Access | Times Cited: 1
Bayesian Hierarchical Modeling: An Introduction and Reassessment
Myrthe Veenman, Angelika Marlene Stefan, Julia M. Haaf
(2022)
Open Access | Times Cited: 2
Myrthe Veenman, Angelika Marlene Stefan, Julia M. Haaf
(2022)
Open Access | Times Cited: 2
Refining Bayesian Hierarchical MPT Modeling: Integrating Prior Knowledge and Ordinal Expectations
Alexandra Sarafoglou, Beatrice G. Kuhlmann, Frederik Aust, et al.
(2022)
Open Access | Times Cited: 2
Alexandra Sarafoglou, Beatrice G. Kuhlmann, Frederik Aust, et al.
(2022)
Open Access | Times Cited: 2
Interim Design Analysis Using Bayes Factor Forecasts
Angelika Marlene Stefan, Quentin F. Gronau, Eric‐Jan Wagenmakers
(2022)
Open Access
Angelika Marlene Stefan, Quentin F. Gronau, Eric‐Jan Wagenmakers
(2022)
Open Access
Probabilistic machine learning for breast cancer classification
Anastasia-Maria Leventi-Peetz, Kai F. Weber
Mathematical Biosciences & Engineering (2022) Vol. 20, Iss. 1, pp. 624-655
Open Access
Anastasia-Maria Leventi-Peetz, Kai F. Weber
Mathematical Biosciences & Engineering (2022) Vol. 20, Iss. 1, pp. 624-655
Open Access