Rens van de Schoot

21.0k total citations · 9 hit papers
182 papers, 14.9k citations indexed

About

Rens van de Schoot is a scholar working on Clinical Psychology, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Rens van de Schoot has authored 182 papers receiving a total of 14.9k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Clinical Psychology, 28 papers in Statistics and Probability and 23 papers in Management Science and Operations Research. Recurrent topics in Rens van de Schoot's work include Statistical Methods and Bayesian Inference (20 papers), Posttraumatic Stress Disorder Research (19 papers) and Child and Adolescent Psychosocial and Emotional Development (14 papers). Rens van de Schoot is often cited by papers focused on Statistical Methods and Bayesian Inference (20 papers), Posttraumatic Stress Disorder Research (19 papers) and Child and Adolescent Psychosocial and Emotional Development (14 papers). Rens van de Schoot collaborates with scholars based in Netherlands, South Africa and United States. Rens van de Schoot's co-authors include Joop J. Hox, Mirjam Moerbeek, Peter Lugtig, Sarah Depaoli, Sonja D. Winter, Wim Meeus, Jens B. Asendorpf, Jaap J. A. Denissen, Mariëlle Zondervan‐Zwijnenburg and Susan Branje and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Child Development.

In The Last Decade

Rens van de Schoot

175 papers receiving 14.6k citations

Hit Papers

Multilevel Analysis 2002 2026 2010 2018 2010 2002 2012 2017 2021 500 1000 1.5k 2.0k 2.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Multilevel Analysis
    2010 2.9k citations Rens van de Schoot et al. profile →
  2. Multilevel Analysis
    2002 2.1k citations Rens van de Schoot et al. profile →
  3. A checklist for testing measurement invariance
    2012 1.6k citations Rens van de Schoot et al. European Journal of Developmental Psychology profile →
  4. Multilevel Analysis
    2017 981 citations Rens van de Schoot et al. profile →
  5. Bayesian statistics and modelling
    2021 616 citations Rens van de Schoot, Sarah Depaoli et al. Nature Reviews Methods Primers profile →
  6. A Gentle Introduction to Bayesian Analysis: Applications to Developmental Research
    2013 533 citations Rens van de Schoot, Marcel A. G. van Aken et al. profile →
  7. The GRoLTS-Checklist: Guidelines for Reporting on Latent Trajectory Studies
    2016 433 citations Rens van de Schoot, Marit Sijbrandij et al. Structural Equation Modeling A Multidisciplinary Journal profile →
  8. Improving transparency and replication in Bayesian statistics: The WAMBS-Checklist.
    2015 292 citations Sarah Depaoli, Rens van de Schoot Psychological Methods profile →
  9. Measurement invariance in the social sciences: Historical development, methodological challenges, state of the art, and future perspectives
    2022 115 citations Rens van de Schoot et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rens van de Schoot Netherlands 43 3.3k 3.1k 3.0k 2.1k 2.0k 182 14.9k
Daniel J. Bauer United States 45 4.2k 1.3× 3.8k 1.2× 3.1k 1.0× 1.4k 0.7× 3.0k 1.5× 156 15.7k
Stephanie T. Lanza United States 47 3.4k 1.1× 2.4k 0.8× 2.1k 0.7× 2.1k 1.0× 2.0k 1.0× 158 12.7k
Albert Satorra Spain 31 4.1k 1.3× 3.9k 1.3× 2.7k 0.9× 2.3k 1.1× 2.4k 1.2× 87 14.7k
Karen Nylund‐Gibson United States 24 4.5k 1.4× 2.6k 0.8× 2.3k 0.8× 2.3k 1.1× 1.5k 0.7× 76 11.9k
Hannah R. Rothstein United States 24 4.3k 1.3× 3.3k 1.1× 3.3k 1.1× 2.3k 1.1× 2.2k 1.1× 53 25.9k
Alexander von Eye United States 57 3.8k 1.2× 2.8k 0.9× 2.6k 0.9× 2.2k 1.1× 1.4k 0.7× 314 12.0k
Nicholas T. Longford United Kingdom 23 3.1k 1.0× 3.3k 1.1× 4.2k 1.4× 4.2k 2.0× 1.9k 0.9× 121 18.5k
Bruno D. Zumbo Canada 56 2.3k 0.7× 2.6k 0.8× 1.3k 0.4× 1.9k 0.9× 1.2k 0.6× 262 12.2k
David B. Wilson United States 33 4.9k 1.5× 2.3k 0.7× 4.0k 1.3× 1.9k 0.9× 1.1k 0.6× 117 14.9k
Michael Borenstein United States 40 4.1k 1.3× 2.3k 0.7× 2.1k 0.7× 1.7k 0.8× 2.1k 1.0× 97 26.4k

Countries citing papers authored by Rens van de Schoot

Since Specialization
Citations

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

Fields of papers citing papers by Rens van de Schoot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rens van de Schoot. 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 Rens van de Schoot. The network helps show where Rens van de Schoot may publish in the future.

Co-authorship network of co-authors of Rens van de Schoot

This figure shows the co-authorship network connecting the top 25 collaborators of Rens van de Schoot. A scholar is included among the top collaborators of Rens van de Schoot 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 Rens van de Schoot. Rens van de Schoot 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.
Leenaars, Cathalijn H. C., et al.. (2024). Addressing the challenges of reconstructing systematic reviews datasets: a case study and a noisy label filter procedure. Systematic Reviews. 13(1). 69–69. 8 indexed citations
2.
Bruin, Jonathan De, et al.. (2024). Reproducibility and Data Storage for Active Learning-Aided Systematic Reviews. Applied Sciences. 14(9). 3842–3842. 6 indexed citations
3.
Schoot, Rens van de, Sarah Depaoli, Ruth King, et al.. (2021). Bayesian statistics and modelling. Nature Reviews Methods Primers. 1(1). 616 indexed citations breakdown →
4.
Schoot, Rens van de, Jonathan De Bruin, Raoul D. Schram, et al.. (2021). ASReview: Active learning for systematic reviews. Zenodo (CERN European Organization for Nuclear Research). 7 indexed citations
5.
Schoot, Rens van de, Jonathan De Bruin, Raoul D. Schram, et al.. (2021). An open source machine learning framework for efficient and transparent systematic reviews. Utrecht University Repository (Utrecht University). 68 indexed citations
6.
Smid, Sanne C., et al.. (2021). Preprocessing systematic review data of Smid et al. (2019) for use in ASReview. OSF Preprints (OSF Preprints).
7.
Schram, Raoul D., et al.. (2020). Results for 'ASReview: Open Source Software for Efficient and Transparent Active Learning for Systematic Reviews'. OSF Preprints (OSF Preprints). 1 indexed citations
8.
Schoot, Rens van de, et al.. (2020). Extension for COVID-19 related datasets in ASReview. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
9.
Schoot, Rens van de & Duco Veen. (2020). Bayesian Analysis for PhD-delay dataset. OSF Preprints (OSF Preprints). 1 indexed citations
10.
Veen, Suzanne C. van, et al.. (2019). Making eye movements during imaginal exposure leads to short-lived memory effects compared to imaginal exposure alone. Journal of Behavior Therapy and Experimental Psychiatry. 67. 101466–101466. 21 indexed citations
11.
Smid, Sanne C., Daniel McNeish, Milica Miočević, & Rens van de Schoot. (2019). Bayesian Versus Frequentist Estimation for Structural Equation Models in Small Sample Contexts: A Systematic Review. Structural Equation Modeling A Multidisciplinary Journal. 27(1). 131–161. 151 indexed citations
12.
Loey, Nancy E. E. Van, Marthe R. Egberts, Rens van de Schoot, & Duco Veen. (2019). Expert Elicitation for Latent Growth Curve Models: The case of Posttraumatic Stress Symptoms Development in Young Burn Victims. OSF Preprints (OSF Preprints). 1 indexed citations
13.
Schoot, Rens van de, Marit Sijbrandij, Sarah Depaoli, et al.. (2018). Bayesian PTSD-Trajectory Analysis with Informed Priors Based on a Systematic Literature Search and Expert Elicitation. Multivariate Behavioral Research. 53(2). 267–291. 51 indexed citations
14.
Schoot, Rens van de, Sonja D. Winter, Oisín Ryan, Mariëlle Zondervan‐Zwijnenburg, & Sarah Depaoli. (2017). A systematic review of Bayesian articles in psychology: The last 25 years.. Psychological Methods. 22(2). 217–239. 238 indexed citations
15.
Kroesbergen, Evelyn H., et al.. (2017). Het betrouwbaarheidsinterval in intelligentietests : Hoe zat het ook alweer?. Utrecht University Repository (Utrecht University). 1(1). 10–24. 1 indexed citations
16.
Schoot, Rens van de & Sarah Depaoli. (2014). Bayesian analyses: Where to start and what to report. Utrecht University Repository (Utrecht University). 112 indexed citations
17.
Loey, Nancy E. E. Van, Rens van de Schoot, Bengt Gerdin, et al.. (2013). The Burn Specific Health Scale-Brief: Measurement invariant across European countries. The Journal of Trauma: Injury, Infection, and Critical Care. 74(5). 1321–1326. 10 indexed citations
18.
Loey, Nancy E. E. Van, Rens van de Schoot, Bengt Gerdin, et al.. (2013). The Burn Specific Health Scale-Brief. The Journal of Trauma: Injury, Infection, and Critical Care. 74(5). 1321–1326. 17 indexed citations
19.
Schoot, Rens van de, Joris Mulder, Herbert Hoijtink, et al.. (2011). An introduction to Bayesian model selection for evaluating informative hypotheses. European Journal of Developmental Psychology. 8(6). 713–729. 19 indexed citations
20.
Schoot, Rens van de, et al.. (2009). Rechtstreeks verwachtingen evalueren of de nulhypothese toetsen? : nulhypothesetoetsing versus Bayesiaanse modelselectie. Data Archiving and Networked Services (DANS). 43(4). 196–203.

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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