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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:

Objective Bayesian Edge Screening and Structure Selection for Ising Networks
Maarten Marsman, Karoline Huth, Lourens Waldorp, et al.
Psychometrika (2022) Vol. 87, Iss. 1, pp. 47-82
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Possible Futures for Network Psychometrics
Denny Borsboom
Psychometrika (2022) Vol. 87, Iss. 1, pp. 253-265
Open Access | Times Cited: 51
Bayesian Analysis of Cross-Sectional Networks: A Tutorial in R and JASP
Karoline Huth, Jill de Ron, Anna E. Goudriaan, et al.
Advances in Methods and Practices in Psychological Science (2023) Vol. 6, Iss. 4
Open Access | Times Cited: 29
Network analysis: An overview for mental health research
Giovanni Briganti, Marco Scutari, Sacha Epskamp, et al.
International Journal of Methods in Psychiatric Research (2024) Vol. 33, Iss. 4
Open Access | Times Cited: 12
Guest Editors’ Introduction to The Special Issue “Network Psychometrics in Action”: Methodological Innovations Inspired by Empirical Problems
Maarten Marsman, Mijke Rhemtulla
Psychometrika (2022) Vol. 87, Iss. 1, pp. 1-11
Open Access | Times Cited: 34
Bayesian Analysis of the Ordinal Markov Random Field
Maarten Marsman, Don van den Bergh, Jonas M B Haslbeck
(2023)
Open Access | Times Cited: 19
Testing Conditional Independence in Psychometric Networks: An Analysis of Three Bayesian Methods
Nikola Sekulovski, Sara Keetelaar, Karoline Huth, et al.
Multivariate Behavioral Research (2024) Vol. 59, Iss. 5, pp. 913-933
Open Access | Times Cited: 4
Tell me why: A scoping review on the fundamental building blocks of fMRI-based network analysis
Zarah van der Pal, Linda Douw, Amanda Genis, et al.
NeuroImage Clinical (2025), pp. 103785-103785
Open Access
Testing Conditional Independence in Psychometric Networks: An Analysis of Three Bayesian Methods
Nikola Sekulovski, Sara Keetelaar, Karoline Huth, et al.
(2023)
Open Access | Times Cited: 10
Comparing maximum likelihood and maximum pseudolikelihood estimators for the Ising model
Sara Keetelaar
advances in/psychology (2024) Vol. 2
Open Access | Times Cited: 3
Sensitivity Analysis of Prior Distributions in Bayesian Graphical Modeling: Guiding Informed Prior Choices for Conditional Independence Testing
Nikola Sekulovski, Sara Keetelaar, Jonas M B Haslbeck, et al.
(2023)
Open Access | Times Cited: 7
Neurocognitive and self-reported psychosocial and behavioral functioning in siblings of individuals with neurodevelopmental conditions: a study using remote self-administered testing
Brittany Wolff, Víthor Rosa Franco, Iliana Magiati, et al.
Journal of Clinical and Experimental Neuropsychology (2023) Vol. 45, Iss. 5, pp. 513-536
Open Access | Times Cited: 7
Bayesian Analysis of Cross-sectional Networks: A Tutorial in R and JASP
Karoline Huth, Jill de Ron, Judy Luigjes, et al.
(2023)
Open Access | Times Cited: 5
Simplifying Bayesian analysis of graphical models for the social sciences with easybgm: A user-friendly R-package
Karoline Huth, Sara Keetelaar, Nikola Sekulovski, et al.
(2023)
Open Access | Times Cited: 4
A Note on Ising Network Analysis with Missing Data
Siliang Zhang, Yunxiao Chen
Psychometrika (2024) Vol. 89, Iss. 4, pp. 1186-1202
Open Access | Times Cited: 1
Bayesian Estimation and Comparison of Idiographic Network Models
Björn S. Siepe, Matthias Kloft, Daniel W. Heck
(2023)
Open Access | Times Cited: 3
Comparing Maximum Likelihood and Pseudo-Maximum Likelihood Estimators for the Ising Model
Sara Keetelaar, Nikola Sekulovski, Denny Borsboom, et al.
(2023)
Open Access | Times Cited: 2
A Good Check on the Bayes Factor
Nikola Sekulovski, Maarten Marsman, Eric‐Jan Wagenmakers
(2024)
Open Access
Tell me why? A scoping review on the fundamental building blocks of functional MRI networks
Zarah van der Pal, Linda Douw, Alexandra Genis, et al.
(2024)
Open Access
Learning Bayesian Networks: A Copula Approach for Mixed-Type Data
Federico Castelletti
Psychometrika (2024) Vol. 89, Iss. 2, pp. 658-686
Closed Access
Comparing maximum likelihood and maximum pseudolikelihood estimators for the Ising model
Sara Keetelaar, Nikola Sekulovski, Denny Borsboom, et al.
(2024)
Open Access
Individual and neighborhood determinants of depressive symptoms in ethnic minorities in the urban HELIUS sample: a multi-level network perspective
Karoline Huth, Junus van der Wal, Orestis Zavlis, et al.
Research Square (Research Square) (2024)
Open Access
Estimation of Personal Symptom Networks Using the Ising Model for Adult Survivors of Childhood Cancer: A Simulation Study with Real-World Data Application
Yiwang Zhou, Madeline R. Horan, S. M. Deshpande, et al.
Clinical Epidemiology (2024) Vol. Volume 16, pp. 461-473
Open Access
A Good check on the Bayes factor
Nikola Sekulovski, Maarten Marsman, Eric‐Jan Wagenmakers
Behavior Research Methods (2024)
Open Access
Proactive Behavior Change Techniques (ProBCTs) in Physical Activity and Healthy Eating
Julia Schüler, Maik Bieleke
Research Square (Research Square) (2023)
Open Access
The time-dependent Ising model: An idiographic hidden Markov process for modelling binary network data
Jan Ian Failenschmid, Maarten Marsman
(2023)
Open Access
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