Jesper Tijmstra

923 total citations
29 papers, 595 citations indexed

About

Jesper Tijmstra is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Statistics and Probability. According to data from OpenAlex, Jesper Tijmstra has authored 29 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Management Science and Operations Research, 12 papers in Computer Networks and Communications and 12 papers in Statistics and Probability. Recurrent topics in Jesper Tijmstra's work include Psychometric Methodologies and Testing (24 papers), Advanced Statistical Modeling Techniques (12 papers) and Statistical Methods and Bayesian Inference (6 papers). Jesper Tijmstra is often cited by papers focused on Psychometric Methodologies and Testing (24 papers), Advanced Statistical Modeling Techniques (12 papers) and Statistical Methods and Bayesian Inference (6 papers). Jesper Tijmstra collaborates with scholars based in Netherlands, United States and Belgium. Jesper Tijmstra's co-authors include Maria Bolsinova, Klaas Sijtsma, L. Andries van der Ark, Paul De Boeck, Dylan Molenaar, Jean‐Paul Fox, Bernard P. Veldkamp, Minjeong Jeon, Jeroen K. Vermunt and Kim De Roover and has published in prestigious journals such as Frontiers in Psychology, Psychonomic Bulletin & Review and Psychometrika.

In The Last Decade

Jesper Tijmstra

25 papers receiving 577 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jesper Tijmstra Netherlands 12 237 146 111 82 70 29 595
Jochen Ranger Germany 12 173 0.7× 130 0.9× 103 0.9× 62 0.8× 57 0.8× 40 420
Sébastien Béland Canada 9 186 0.8× 87 0.6× 111 1.0× 86 1.0× 74 1.1× 47 483
Deborah L. Schnipke United States 9 300 1.3× 139 1.0× 99 0.9× 113 1.4× 97 1.4× 23 575
Jorge N. Tendeiro Netherlands 18 235 1.0× 132 0.9× 180 1.6× 78 1.0× 71 1.0× 63 978
Insu Paek United States 15 261 1.1× 127 0.9× 122 1.1× 146 1.8× 96 1.4× 51 654
Julio Olea Spain 15 273 1.2× 141 1.0× 66 0.6× 97 1.2× 48 0.7× 45 874
Zhehan Jiang United States 12 145 0.6× 63 0.4× 102 0.9× 93 1.1× 36 0.5× 59 576
Alan D. Mead United States 9 205 0.9× 129 0.9× 54 0.5× 55 0.7× 93 1.3× 15 809
Minjeong Jeon United States 18 360 1.5× 276 1.9× 224 2.0× 165 2.0× 100 1.4× 73 1.0k
Karen Draney United States 7 178 0.8× 57 0.4× 71 0.6× 80 1.0× 89 1.3× 22 513

Countries citing papers authored by Jesper Tijmstra

Since Specialization
Citations

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

Fields of papers citing papers by Jesper Tijmstra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jesper Tijmstra

This figure shows the co-authorship network connecting the top 25 collaborators of Jesper Tijmstra. A scholar is included among the top collaborators of Jesper Tijmstra 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 Jesper Tijmstra. Jesper Tijmstra 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.
Tijmstra, Jesper & Maria Bolsinova. (2025). Modeling Within- and Between-Person Differences in the Use of the Middle Category in Likert Scales. Applied Psychological Measurement. 49(6). 266–281.
2.
Tijmstra, Jesper, et al.. (2024). The Development and Validation of the Psychological Empowerment Scale for Older People. Journal of Gerontological Social Work. 68(7). 889–910.
3.
Tijmstra, Jesper, et al.. (2023). Correcting for Extreme Response Style: Model Choice Matters. Educational and Psychological Measurement. 84(1). 145–170. 4 indexed citations
4.
Tijmstra, Jesper, et al.. (2023). Does Acquiescence Disagree with Measurement Invariance Testing?. Structural Equation Modeling A Multidisciplinary Journal. 31(3). 511–525. 1 indexed citations
5.
Tijmstra, Jesper, et al.. (2022). Awareness Is Bliss: How Acquiescence Affects Exploratory Factor Analysis. Educational and Psychological Measurement. 83(3). 433–472. 3 indexed citations
6.
Roover, Kim De, et al.. (2021). Scale length does matter: Recommendations for measurement invariance testing with categorical factor analysis and item response theory approaches. Behavior Research Methods. 54(5). 2114–2145. 17 indexed citations
7.
Bolsinova, Maria, et al.. (2021). Improving the Precision of Ability Estimates Using Time-On-Task Variables: Insights From the PISA 2012 Computer-Based Assessment of Mathematics. Frontiers in Psychology. 12. 579128–579128. 10 indexed citations
8.
Tijmstra, Jesper, et al.. (2019). Psychometric Modelling of Longitudinal Genetically Informative Twin Data. Frontiers in Genetics. 10. 837–837. 4 indexed citations
9.
Tijmstra, Jesper & Maria Bolsinova. (2019). Bayes Factors for Evaluating Latent Monotonicity in Polytomous Item Response Theory Models. Psychometrika. 84(3). 846–869. 3 indexed citations
10.
Tijmstra, Jesper, Maria Bolsinova, & Minjeong Jeon. (2018). General mixture item response models with different item response structures: Exposition with an application to Likert scales. Behavior Research Methods. 50(6). 2325–2344. 37 indexed citations
11.
Tijmstra, Jesper & Maria Bolsinova. (2018). On the Importance of the Speed-Ability Trade-Off When Dealing With Not Reached Items. Frontiers in Psychology. 9. 964–964. 11 indexed citations
12.
Tijmstra, Jesper. (2018). Why checking model assumptions using null hypothesis significance tests does not suffice: A plea for plausibility. Psychonomic Bulletin & Review. 25(2). 548–559. 9 indexed citations
13.
Bolsinova, Maria, Jesper Tijmstra, Dylan Molenaar, & Paul De Boeck. (2017). Conditional Dependence between Response Time and Accuracy: An Overview of its Possible Sources and Directions for Distinguishing between Them. Frontiers in Psychology. 8. 202–202. 31 indexed citations
14.
Bolsinova, Maria, Paul De Boeck, & Jesper Tijmstra. (2016). Modelling Conditional Dependence Between Response Time and Accuracy. Psychometrika. 82(4). 1126–1148. 63 indexed citations
15.
Bolsinova, Maria & Jesper Tijmstra. (2016). Posterior Predictive Checks for Conditional Independence Between Response Time and Accuracy. Journal of Educational and Behavioral Statistics. 41(2). 123–145. 15 indexed citations
16.
Tijmstra, Jesper, Herbert Hoijtink, & Klaas Sijtsma. (2015). Evaluating Manifest Monotonicity Using Bayes Factors. Psychometrika. 80(4). 880–896. 6 indexed citations
17.
Bolsinova, Maria & Jesper Tijmstra. (2015). Can Response Speed Be Fixed Experimentally, and Does This Lead to Unconfounded Measurement of Ability?. Measurement Interdisciplinary Research and Perspectives. 13(3-4). 165–168. 4 indexed citations
18.
Fox, Jean‐Paul, et al.. (2014). Testing for Aberrant Behavior in Response Time Modeling. Journal of Educational and Behavioral Statistics. 39(6). 426–451. 63 indexed citations
19.
Tijmstra, Jesper, David J. Hessen, P.G.M. van der Heijden, & Klaas Sijtsma. (2012). Testing Manifest Monotonicity Using Order-Constrained Statistical Inference. Psychometrika. 78(1). 83–97. 5 indexed citations
20.
Tijmstra, Jesper, David J. Hessen, P.G.M. van der Heijden, & Klaas Sijtsma. (2011). Invariant Ordering of Item-Total Regressions. Psychometrika. 76(2). 217–227. 5 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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