Riet van Bork

3.8k total citations · 3 hit papers
24 papers, 2.0k citations indexed

About

Riet van Bork is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Riet van Bork has authored 24 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Experimental and Cognitive Psychology, 10 papers in Cognitive Neuroscience and 9 papers in Statistical and Nonlinear Physics. Recurrent topics in Riet van Bork's work include Mental Health Research Topics (18 papers), Functional Brain Connectivity Studies (10 papers) and Complex Network Analysis Techniques (9 papers). Riet van Bork is often cited by papers focused on Mental Health Research Topics (18 papers), Functional Brain Connectivity Studies (10 papers) and Complex Network Analysis Techniques (9 papers). Riet van Bork collaborates with scholars based in Netherlands, United States and Italy. Riet van Bork's co-authors include Denny Borsboom, Mijke Rhemtulla, Lourens Waldorp, Claudia D. van Borkulo, Lynn Boschloo, Pia Tio, Robert A. Schoevers, Jolanda J. Kossakowski, Sacha Epskamp and Anna Wysocki and has published in prestigious journals such as PLoS ONE, Psychological Review and Psychological Methods.

In The Last Decade

Riet van Bork

22 papers receiving 2.0k citations

Hit Papers

Comparing network structures on three aspects: A permutat... 2021 2026 2022 2024 2022 2021 2022 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Riet van Bork Netherlands 13 1.6k 713 535 309 218 24 2.0k
Adela‐Maria Isvoranu Netherlands 18 1.8k 1.1× 857 1.2× 616 1.2× 300 1.0× 287 1.3× 25 2.2k
Hudson Golino United States 23 1.3k 0.8× 616 0.9× 545 1.0× 466 1.5× 113 0.5× 62 2.4k
Jonas M B Haslbeck Netherlands 16 1.3k 0.8× 578 0.8× 392 0.7× 192 0.6× 329 1.5× 54 1.7k
Marie K. Deserno Netherlands 16 1.3k 0.8× 863 1.2× 569 1.1× 214 0.7× 244 1.1× 26 1.9k
Jonas Dalege Netherlands 17 1.1k 0.7× 480 0.7× 351 0.7× 406 1.3× 112 0.5× 31 2.0k
Laura F. Bringmann Netherlands 25 2.7k 1.7× 1.4k 2.0× 761 1.4× 420 1.4× 471 2.2× 69 3.4k
Timon Elmer Switzerland 12 950 0.6× 392 0.5× 1.2k 2.2× 561 1.8× 150 0.7× 31 2.4k
Giulio Costantini Italy 22 2.3k 1.4× 1.0k 1.5× 1.2k 2.2× 691 2.2× 289 1.3× 58 3.5k
Manuel C. Voelkle Germany 30 1.4k 0.9× 580 0.8× 642 1.2× 609 2.0× 42 0.2× 90 3.0k
Anna Wysocki United States 6 735 0.5× 340 0.5× 235 0.4× 171 0.6× 92 0.4× 8 980

Countries citing papers authored by Riet van Bork

Since Specialization
Citations

This map shows the geographic impact of Riet van Bork's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Riet van Bork with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riet van Bork more than expected).

Fields of papers citing papers by Riet van Bork

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Riet van Bork. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Riet van Bork. The network helps show where Riet van Bork may publish in the future.

Co-authorship network of co-authors of Riet van Bork

This figure shows the co-authorship network connecting the top 25 collaborators of Riet van Bork. A scholar is included among the top collaborators of Riet van Bork based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Riet van Bork. Riet van Bork is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wysocki, Anna, et al.. (2025). Cross-lagged panel networks. UvA-DARE (University of Amsterdam). 2(1). e739621–e739621. 5 indexed citations
2.
Bork, Riet van, Jonas M B Haslbeck, Han L. J. van der Maas, et al.. (2024). Productive explanation: A framework for evaluating explanations in psychological science.. Psychological Review. 132(2). 311–329. 12 indexed citations
3.
Huth, Karoline, et al.. (2024). Testing Conditional Independence in Psychometric Networks: An Analysis of Three Bayesian Methods. Multivariate Behavioral Research. 59(5). 913–933. 7 indexed citations
4.
Borkulo, Claudia D. van, Riet van Bork, Lynn Boschloo, et al.. (2022). Supplemental Material for Comparing Network Structures on Three Aspects: A Permutation Test. Psychological Methods.
5.
Borkulo, Claudia D. van, Riet van Bork, Lynn Boschloo, et al.. (2022). Comparing network structures on three aspects: A permutation test.. Psychological Methods. 28(6). 1273–1285. 648 indexed citations breakdown →
6.
Bork, Riet van, Mijke Rhemtulla, Klaas Sijtsma, & Denny Borsboom. (2022). A causal theory of error scores.. Psychological Methods. 29(4). 807–826. 19 indexed citations
7.
Haslbeck, Jonas M B & Riet van Bork. (2022). Estimating the number of factors in exploratory factor analysis via out-of-sample prediction errors.. Psychological Methods. 29(1). 48–64. 14 indexed citations
8.
Wysocki, Anna, Riet van Bork, Angélique O. J. Cramer, & Mijke Rhemtulla. (2022). Cross-Lagged Network Models. PsyArXiv (OSF Preprints). 96 indexed citations breakdown →
9.
Borsboom, Denny, Marie K. Deserno, Mijke Rhemtulla, et al.. (2022). Reply to ‘Critiques of network analysis of multivariate data in psychological science’. Nature Reviews Methods Primers. 2(1). 5 indexed citations
10.
Borsboom, Denny, Marie K. Deserno, Mijke Rhemtulla, et al.. (2021). Network analysis of multivariate data in psychological science. Nature Reviews Methods Primers. 1(1). 624 indexed citations breakdown →
11.
Deserno, Marie K., Denny Borsboom, Sander Begeer, et al.. (2020). Highways to happiness for autistic adults? Perceived causal relations among clinicians. PLoS ONE. 15(12). e0243298–e0243298. 9 indexed citations
12.
Rhemtulla, Mijke, Riet van Bork, & Denny Borsboom. (2019). Worse than measurement error: Consequences of inappropriate latent variable measurement models.. Psychological Methods. 25(1). 30–45. 154 indexed citations
13.
Bernstein, Emily E., Evan M. Kleiman, Riet van Bork, et al.. (2019). Unique and predictive relationships between components of cognitive vulnerability and symptoms of depression. Depression and Anxiety. 36(10). 950–959. 30 indexed citations
14.
Bork, Riet van, Raoul P. P. P. Grasman, & Lourens Waldorp. (2018). Unidimensional factor models imply weaker partial correlations than zero-order correlations. Psychometrika. 83(2). 443–452. 4 indexed citations
15.
Marsman, Maarten, Denny Borsboom, Joost Kruis, et al.. (2017). An Introduction to Network Psychometrics: Relating Ising Network Models to Item Response Theory Models. Multivariate Behavioral Research. 53(1). 15–35. 144 indexed citations
16.
Bork, Riet van, Sacha Epskamp, Mijke Rhemtulla, Denny Borsboom, & Han L. J. van der Maas. (2017). What is the p-factor of psychopathology? Some risks of general factor modeling. Theory & Psychology. 27(6). 759–773. 75 indexed citations
17.
Rhemtulla, Mijke, Denny Borsboom, & Riet van Bork. (2017). How to Measure Nothing. Measurement Interdisciplinary Research and Perspectives. 15(2). 95–97. 4 indexed citations
18.
Bork, Riet van, Mijke Rhemtulla, & Denny Borsboom. (2016). Composites can be casual too. European Journal of Personality. 30(4). 307–308.
19.
Langley, David, et al.. (2015). Should I get that jab? Exploring influence to encourage vaccination via online social media. Journal of the Association for Information Systems. 10 indexed citations
20.
Rhemtulla, Mijke, Riet van Bork, & Denny Borsboom. (2015). Calling Models With Causal Indicators “Measurement Models” Implies More Than They Can Deliver. Measurement Interdisciplinary Research and Perspectives. 13(1). 59–62. 17 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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