Most cited papers from Cito (Netherlands)
What are the most cited papers from Cito (Netherlands)?
The most cited paper from Cito (Netherlands) is "Estimating Multiple Classification Latent Class Models" (Eric Maris, 1999), with 426 citations. Next come "An Introduction to Network Psychometrics: Relating Ising Network Models to Item Response Theory Models" (315) and "Modeling Item Responses When Different Subjects Employ Different Solution Strategies" (308).
Showing 50 of 60 papers. Every paper with more than 23 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Estimating Multiple Classification Latent Class Models Eric Maris · Psychometrika | Jun 1999 | 426 |
| 2 | An Introduction to Network Psychometrics: Relating Ising Network Models to Item Response Theory Models Maarten Marsman, Denny Borsboom, Joost Kruis et al. · Multivariate Behavioral Research | 7 Nov 2017 | 315 |
| 3 | Modeling Item Responses When Different Subjects Employ Different Solution Strategies Robert J. Mislevy, Norman D. Verhelst · Psychometrika | Jun 1990 | 308 |
| 4 | Effects of feedback in a computer-based assessment for learning Fabienne Michelle Van der Kleij, Theo J. H. M. Eggen, Caroline F. Timmers et al. · Computers & Education | 6 Aug 2011 | 241 |
| 5 | The impact of computer use at home on students’ Internet skills Hans Kuhlemeier, Bas T. Hemker · Computers & Education | 24 Nov 2005 | 231 |
| 6 | Cognitive psychology meets psychometric theory: On the relation between process models for decision making and latent variable models for individual differences. Han L. J. van der Maas, Dylan Molenaar, Gunter Maris et al. · Psychological Review | 14 Mar 2011 | 191 |
| 7 | Binary Programming and Test Design Theo Theunissen · Psychometrika | Dec 1985 | 147 |
| 8 | The Derivation of Some Tests for the Rasch Model from the Multinomial Distribution Cees A. W. Glas · Psychometrika | Dec 1988 | 145 |
| 9 | Integrating data-based decision making, Assessment for Learning and diagnostic testing in formative assessment Fabienne Michelle Van der Kleij, Jorine Adinda Vermeulen, Kim Schildkamp et al. · Assessment in Education Principles Policy and Practice | 22 Jan 2015 | 134 |
| 10 | Ensuring the quality and specificity of preregistrations Marjan Bakker, Coosje Lisabet Sterre Veldkamp, Marcel A. L. M. van Assen et al. · PLoS Biology | 9 Dec 2020 | 133 |
| 11 | Item Selection in Adaptive Testing with the Sequential Probability Ratio Test Theo J. H. M. Eggen · Applied Psychological Measurement | Sep 1999 | 111 |
| 12 | Approximated adjusted fractional Bayes factors: A general method for testing informative hypotheses Xin Gu, Joris Mulder, Herbert Hoijtink · British Journal of Mathematical and Statistical Psychology | 31 Aug 2017 | 103 |
| 13 | Computerized Adaptive Testing for Classifying Examinees into three Categories Theo J. H. M. Eggen, Gerard Straetmans · Educational and Psychological Measurement | Oct 2000 | 100 |
| 14 | Bayesian inference for low-rank Ising networks Maarten Marsman, Gunter Maris, Timo M. Bechger et al. · Scientific Reports | 12 Mar 2015 | 89 |
| 15 | Three representations of the Ising model Joost Kruis, Gunter Maris · Scientific Reports | 4 Oct 2016 | 87 |
| 16 | Using Classical Test Theory in Combination with Item Response Theory Timo M. Bechger, Gunter Maris, Huub H. F. M. Verstralen et al. · Applied Psychological Measurement | Sep 2003 | 87 |
| 17 | Effect of genre on the generalizability of writing scores Renske Bouwer, Anton A. Béguin, Ted J.M. Sanders et al. · Language Testing | 4 Aug 2014 | 86 |
| 18 | Can fast and slow intelligence be differentiated? Ivailo Partchev, Paul De Boeck · Intelligence | 10 Dec 2011 | 86 |
| 19 | Minimum Sample Size Requirements for Mokken Scale Analysis J. Hendrik Straat, L. Andries van der Ark, Klaas Sijtsma · Educational and Psychological Measurement | 21 Apr 2014 | 82 |
| 20 | A Dynamic Generalization of the Rasch Model Norman D. Verhelst, Cees A. W. Glas · Psychometrika | Sep 1993 | 79 |
| 21 | Extensions of the Partial Credit Model Cees A. W. Glas, Norman D. Verhelst · Psychometrika | Dec 1989 | 75 |
| 22 | An Efficient MCMC Algorithm to Sample Binary Matrices with Fixed Marginals Norman D. Verhelst · Psychometrika | Apr 2008 | 73 |
| 23 | Using Conditional Association to Identify Locally Independent Item Sets J. Hendrik Straat, L. Andries van der Ark, Klaas Sijtsma · Methodology | Oct 2016 | 72 |
| 24 | A Statistical Test for Differential Item Pair Functioning Timo M. Bechger, Gunter Maris · Psychometrika | 15 Sep 2014 | 66 |
| 25 | Modeling assessment for re-use of traditional and new types of assessment Desirée Joosten-ten Brinke, Jan van Bruggen, Henry Hermans et al. · Computers in Human Behavior | 28 Sep 2006 | 63 |
| 26 | Nonparametric Polytomous IRT Models for Invariant Item Ordering, with Results for Parametric Models Klaas Sijtsma, Bas T. Hemker · Psychometrika | Jun 1998 | 62 |
| 27 | Psychometric analysis of the performance data of simulation-based assessment: A systematic review and a Bayesian network example Sebastiaan de Klerk, Bernard P. Veldkamp, Theo J. H. M. Eggen · Computers & Education | 19 Feb 2015 | 60 |
| 28 | Optimal Testing With Easy or Difficult Items in Computerized Adaptive Testing Theo J. H. M. Eggen, Angela J. Verschoor · Applied Psychological Measurement | 2 Aug 2006 | 59 |
| 29 | Some Applications of Optimization Algorithms in Test Design and Adaptive Testing Theo Theunissen · Applied Psychological Measurement | Dec 1986 | 56 |
| 30 | Linguistic sources of item bias for second generation immigrants in Dutch tests Henny Uiterwijk, T. Vallen · Language Testing | 18 Mar 2005 | 48 |
| 31 | On Measurement Properties of Continuation Ratio Models Bas T. Hemker, L. Andries van der Ark, Klaas Sijtsma · Psychometrika | Dec 2001 | 47 |
| 32 | Item calibration in incomplete testing designs Theodorus Johannes Hendrikus Maria Eggen, Norman D. Verhelst · University of Twente Research Information | 2011 | 45 |
| 33 | The assessment of a foreign language at the end of primary (elementary) education P. Edelenbos, M P Vinje · Language Testing | Apr 2000 | 43 |
| 34 | Attempting to differentiate fast and slow intelligence: Using generalized item response trees to examine the role of speed on intelligence tests Jack DiTrapani, Minjeong Jeon, Paul De Boeck et al. · Intelligence | 17 Mar 2016 | 40 |
| 35 | Recommendations in pre-registrations and internal review board proposals promote formal power analyses but do not increase sample size Marjan Bakker, Coosje Lisabet Sterre Veldkamp, Olmo R. van den Akker et al. · PLoS ONE | 31 Jul 2020 | 36 |
| 36 | The Nature of Developmental Dyslexia in a Transparent Orthography Ludo T. W. Verhoeven, Jos Keuning · Scientific Studies of Reading | 8 Sep 2017 | 35 |
| 37 | Application and Evaluation of an Expert Judgment Elicitation Procedure for Correlations Marielle A. J. Zondervan-Zwijnenburg, Wenneke van de Schoot-Hubeek, Kimberley Lek et al. · Frontiers in Psychology | 31 Jan 2017 | 35 |
| 38 | Monitoring Countries in a Changing World: A New Look at DIF in International Surveys Robert J. Zwitser, Stephen Glaser, Gunter Maris · Psychometrika | 14 Nov 2016 | 35 |
| 39 | A test for conditional independence between response time and accuracy Maria A. Bolsinova, Gunter Maris · British Journal of Mathematical and Statistical Psychology | 8 Jun 2015 | 34 |
| 40 | Bain: a program for Bayesian testing of order constrained hypotheses in structural equation models Xin Gu, Herbert Hoijtink, Joris Mulder et al. · Journal of Statistical Computation and Simulation | 20 Mar 2019 | 33 |
| 41 | Distinguishing Fast and Slow Processes in Accuracy - Response Time Data Frederik Coomans, Abe Dirk Hofman, Matthieu J. S. Brinkhuis et al. · PLoS ONE | 11 May 2016 | 33 |
| 42 | Integrating authentic assessment with competence‐based learning in vocational education: the Protocol Portfolio Scoring Dominique M. A. Sluijsmans, Gerard Straetmans, Jeroen J. G. van Merriënboer · Journal of Vocational Education and Training | 30 Apr 2008 | 33 |
| 43 | Attitudes and Achievements in the First Year of German Language Instruction in Dutch Secondary Education Hans Kuhlemeier, Huub van den Bergh, Leijn Melse · Modern Language Journal | Dec 1996 | 33 |
| 44 | Error probabilities in default Bayesian hypothesis testing Xin Gu, Herbert Hoijtink, Joris Mulder · Journal of Mathematical Psychology | 27 Sep 2015 | 32 |
| 45 | Detecting Halo Effects in Performance-Based Examinations Timo M. Bechger, Gunter Maris, Ya Ping Hsiao · Applied Psychological Measurement | 16 Jul 2010 | 32 |
| 46 | An IRT Model for Multiple Raters Norman D. Verhelst, Huub H. F. M. Verstralen · Lecture notes in statistics | 2001 | 32 |
| 47 | An Item Response Model with Internal Restrictions on Item Difficulty René Butter, Paul De Boeck, Norman D. Verhelst · Psychometrika | Mar 1998 | 31 |
| 48 | Interpretation of the score reports from the Computer Program LOVS by teachers, internal support teachers and principals Fabienne Michelle Van der Kleij, Theo J. H. M. Eggen · Studies In Educational Evaluation | 9 May 2013 | 31 |
| 49 | Equivalent Linear Logistic Test Models Timo M. Bechger, Huub H. F. M. Verstralen, Norman D. Verhelst · Psychometrika | Mar 2002 | 29 |
| 50 | Because every pupil counts: the success of the pupil monitoring system in The Netherlands KARIN F. M. VLUG · Education and Information Technologies | Dec 1997 | 29 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.