Frank Rijmen

2.6k total citations
67 papers, 1.9k citations indexed

About

Frank Rijmen is a scholar working on Statistics and Probability, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, Frank Rijmen has authored 67 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 18 papers in Computer Networks and Communications and 17 papers in Management Science and Operations Research. Recurrent topics in Frank Rijmen's work include Advanced Statistical Modeling Techniques (17 papers), Psychometric Methodologies and Testing (15 papers) and Statistical Methods and Bayesian Inference (11 papers). Frank Rijmen is often cited by papers focused on Advanced Statistical Modeling Techniques (17 papers), Psychometric Methodologies and Testing (15 papers) and Statistical Methods and Bayesian Inference (11 papers). Frank Rijmen collaborates with scholars based in United States, Netherlands and Belgium. Frank Rijmen's co-authors include Paul De Boeck, Francis Tuerlinckx, Peter Kuppens, Jos W. R. Twisk, Minjeong Jeon, Sophia Rabe‐Hesketh, Harm van Marwijk, Wim Stalman, Aartjan T.F. Beekman and Geert Verbeke and has published in prestigious journals such as Neurology, Journal of Clinical Epidemiology and Behaviour Research and Therapy.

In The Last Decade

Frank Rijmen

66 papers receiving 1.8k citations

Peers

Frank Rijmen

MSOR

CNC

ECP

Mark H. Stone United States

Geofferey N. Masters Australia

R. Philip Chalmers Canada

Wilco H. M. Emons Netherlands

Ivo W. Molenaar Netherlands

George Karabatsos United States

Holmes Finch United States

Terry A. Ackerman United States

Lori McLeod United States

Li Cai United States

Mark H. Stone United States

Frank Rijmen

492 ×1.1

MSOR

187 ×0.6

212 ×0.8

CNC

293 ×1.1

197 ×0.8

ECP

Citations per year, relative to Frank Rijmen Frank Rijmen (= 1×) peers Mark H. Stone

Countries citing papers authored by Frank Rijmen

Since Specialization

Citations

This map shows the geographic impact of Frank Rijmen'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 Frank Rijmen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Rijmen more than expected).

Fields of papers citing papers by Frank Rijmen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank Rijmen. 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 Frank Rijmen. The network helps show where Frank Rijmen may publish in the future.

Co-authorship network of co-authors of Frank Rijmen

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Rijmen. A scholar is included among the top collaborators of Frank Rijmen 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 Frank Rijmen. Frank Rijmen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Rijmen, Frank, et al.. (2024). Asymptotically Correct Person Fit z-Statistics For the Rasch Testlet Model. Psychometrika. 89(4). 1230–1260.

Jeon, Minjeong, Frank Rijmen, & Sophia Rabe‐Hesketh. (2018). CFA Models with a General Factor and Multiple Sets of Secondary Factors. Psychometrika. 83(4). 785–808. 6 indexed citations

Robin, Frédéric, et al.. (2016). Dimensionality Analyses of the "GRE"® revised General Test Verbal and Quantitative Measures. ETS GRE® Board Research Report. ETS GRE®-16-02. ETS Research Report. RR-16-20.. ETS Research Report Series. 1 indexed citations

Jeon, Minjeong & Frank Rijmen. (2014). Recent developments in maximum likelihood estimation of MTMM models for categorical data. Frontiers in Psychology. 5. 269–269. 8 indexed citations

Rijn, Peter W. van & Frank Rijmen. (2012). A Note on Explaining Away and Paradoxical Results in Multidimensional Item Response Theory. Research Report. ETS RR-12-13.. ETS Research Report Series. 4 indexed citations

Jansen, Aaltje P.D., Hein van Hout, Giel Nijpels, et al.. (2011). Effectiveness of case management among older adults with early symptoms of dementia and their primary informal caregivers: A randomized clinical trial. International Journal of Nursing Studies. 48(8). 933–943. 72 indexed citations

Rijmen, Frank. (2010). Measuring Multidimensional Latent Growth. Research Report. ETS RR-10-24.. 1 indexed citations

Jones, Alison Snow, et al.. (2010). Multivariate Discrete Hidden Markov Models for Domain-Based Measurements and Assessment of Risk Factors in Child Development. Journal of Computational and Graphical Statistics. 19(3). 746–765. 21 indexed citations

Rijmen, Frank. (2009). Three Multidimensional Models for Testlet-Based Tests: Formal Relations and an Empirical Comparison. Research Report. ETS RR-09-37.. 7 indexed citations

10.

Weinreich, Stephanie S., et al.. (2009). Raising awareness of carrier testing for hereditary haemoglobinopathies in high-risk ethnic groups in the Netherlands: a pilot study among the general public and primary care providers. BMC Public Health. 9(1). 338–338. 22 indexed citations

11.

Rijmen, Frank. (2009). Efficient Full Information Maximum Likelihood Estimation for Multidimensional IRT Models. Research Report. ETS RR-09-03.. 11 indexed citations

12.

Rijmen, Frank. (2008). Bayesian networks with a logistic regression model for the conditional probabilities. International Journal of Approximate Reasoning. 48(2). 659–666. 28 indexed citations

13.

Liu, Ou Lydia & Frank Rijmen. (2008). A modified procedure for parallel analysis of ordered categorical data. Behavior Research Methods. 40(2). 556–562. 17 indexed citations

14.

Liu, Ou Lydia, Frank Rijmen, & Nan Kong. (2007). An Initial Investigation of a Modified Procedure for Parallel Analysis. Research Report. ETS RR-07-41.. ETS Research Report Series. 1 indexed citations

15.

Schreuders, B., Harm van Marwijk, Johannes H. Smit, et al.. (2007). Primary care patients with mental health problems: outcome of a randomised clinical trial. British Journal of General Practice. 57(544). 886–891. 26 indexed citations

16.

Boer, Nanne K.H. de, Dennis R. Wong, Bindia Jharap, et al.. (2007). Dose-Dependent Influence of 5-Aminosalicylates on Thiopurine Metabolism. The American Journal of Gastroenterology. 102(12). 2747–2753. 84 indexed citations

17.

Bakker, Ingrid, Berend Terluin, Harm van Marwijk, et al.. (2007). A Cluster-Randomised Trial Evaluating an Intervention for Patients with Stress-Related Mental Disorders and Sick Leave in Primary Care. PubMed. 2(6). e26–e26. 64 indexed citations

18.

Tuerlinckx, Francis, Frank Rijmen, Geert Verbeke, & Paul De Boeck. (2006). Statistical inference in generalized linear mixed models: A review. British Journal of Mathematical and Statistical Psychology. 59(2). 225–255. 103 indexed citations

19.

Rijmen, Frank, Francis Tuerlinckx, Paul De Boeck, & Peter Kuppens. (2003). A nonlinear mixed model framework for item response theory.. Psychological Methods. 8(2). 185–205. 172 indexed citations

20.

Rijmen, Frank & Paul De Boeck. (2001). Propositional reasoning: The differential contribution of “rules” to the difficulty of complex reasoning problems. Memory & Cognition. 29(1). 165–175. 7 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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