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Eric-Jan Wagenmakers

Eric-Jan Wagenmakers

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Psychology
Netherlands
2026

D-Index & Metrics

Psychology

D-Index
117
Citations
79266
World Ranking
285
National Ranking
9

Research.com Recognitions

  • 2026 - Research.com Psychology in Netherlands Leader Award
  • 2025 - Research.com Psychology in Netherlands Leader Award

Overview

Eric-Jan Wagenmakers is affiliated with the University of Amsterdam in the Netherlands. Their research primarily focuses on mathematical approaches within the field of statistics and probability, covering areas such as statistical methods, Bayesian inference, and advanced statistical modeling.

Their work spans several subfields including:

  • Statistics and Probability
  • Statistics, Probability and Uncertainty
  • Artificial Intelligence
  • Cognitive Neuroscience
  • Experimental and Cognitive Psychology

The main topics of Wagenmakers' research include:

  • Statistical Methods and Bayesian Inference
  • Statistical Methods in Clinical Trials
  • Meta-analysis and Systematic Reviews
  • Advanced Statistical Methods and Models
  • Statistical Methods and Inference
  • Bayesian Modeling and Causal Inference
  • Mental Health Research Topics

Wagenmakers has published numerous papers in established venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • Psychological Methods
  • Advances in Methods and Practices in Psychological Science
  • Behavior Research Methods
  • Royal Society Open Science

Notable recent papers by Wagenmakers feature collaborations with other authors and cover topics related to Bayesian analysis. Examples include:

  • The JASP guidelines for conducting and reporting a Bayesian analysis (2020, Psychonomic Bulletin & Review)
  • Using Bayes factor hypothesis testing in neuroscience to establish evidence of absence (2020, Nature Neuroscience)
  • A Conceptual Introduction to Bayesian Model Averaging (2020, Advances in Methods and Practices in Psychological Science)
  • A Tutorial on Conducting and Interpreting a Bayesian ANOVA in JASP (2020, L'Année psychologique)
  • No evidence for nudging after adjusting for publication bias (2022, Proceedings of the National Academy of Sciences)

Frequent coauthors contributing to Wagenmakers' research include:

  • Alexander Ly
  • Quentin F. Gronau
  • František Bartoš
  • Alexandra Sarafoglou
  • Don van den Bergh

Best Publications

  • Estimating the reproducibility of psychological science

    Alexander A. Aarts;Joanna E. Anderson;Christopher J. Anderson;Peter R. Attridge;Peter R. Attridge

  • A manifesto for reproducible science

    Marcus R. Munafò;Brian A. Nosek;Brian A. Nosek;Dorothy V.M. Bishop;Katherine S. Button

  • AIC model selection using Akaike weights

    Eric-Jan Wagenmakers;Simon Farrell

  • Redefine statistical significance

    Daniel J. Benjamin;James O. Berger;Magnus Johannesson;Magnus Johannesson;Brian A. Nosek;Brian A. Nosek

  • A practical solution to the pervasive problems of p values.

    Eric-Jan Wagenmakers

  • Promoting an open research culture

    B. A. Nosek;G. Alter;G. C. Banks;D. Borsboom

  • Bayesian Cognitive Modeling: A Practical Course

    Michael D. Lee;Eric-Jan Wagenmakers

  • Bayesian inference for psychology. Part II: Example applications with JASP

    Eric-Jan Wagenmakers;Jonathon Love;Maarten Marsman;Tahira Jamil

  • Editors' Introduction to the Special Section on Replicability in Psychological Science: A Crisis of Confidence?

    Harold Pashler;Eric–Jan Wagenmakers

  • Bayesian inference for psychology. Part I: Theoretical advantages and practical ramifications.

    Eric-Jan Wagenmakers;Maarten Marsman;Tahira Jamil;Alexander Ly

  • Evaluating the replicability of social science experiments in Nature and Science between 2010 and 2015

    Colin F. Camerer;Anna Dreber;Felix Holzmeister;Teck-Hua Ho

  • Why psychologists must change the way they analyze their data: the case of psi: comment on Bem (2011).

    Eric–Jan Wagenmakers;Ruud Wetzels;Denny Borsboom;Han L. J. van der Maas

  • An agenda for purely confirmatory research

    Eric-Jan Wagenmakers;Ruud Wetzels;Denny Borsboom;Han L. J. van der Maas

  • Statistical Evidence in Experimental Psychology An Empirical Comparison Using 855 t Tests

    Ruud Wetzels;Dora Matzke;Michael D. Lee;Jeffrey N. Rouder

  • The JASP guidelines for conducting and reporting a Bayesian analysis

    Johnny van Doorn;Don van den Bergh;Udo Böhm;Fabian Dablander

  • Erroneous analyses of interactions in neuroscience: a problem of significance

    Sander Nieuwenhuis;Birte U Forstmann;Eric-Jan Wagenmakers

  • The neural basis of the speed–accuracy tradeoff

    Rafal Bogacz;Eric-Jan Wagenmakers;Birte U. Forstmann;Sander Nieuwenhuis

  • JASP: Graphical Statistical Software for Common Statistical Designs

    Jonathon Love;Ravi Selker;Maarten Marsman;Tahira Jamil

  • Many analysts, one dataset: Making transparent how variations in analytical choices affect results

    R. Silberzahn;E. L. Uhlmann;D. P. Martin;P. Anselmi

  • Bayesian Hypothesis Testing for Psychologists: A Tutorial on the Savage-Dickey Method.

    Eric-Jan Wagenmakers;Tom Lodewyckx;Himanshu Kuriyal;Raoul Grasman

  • Striatum and pre-SMA facilitate decision-making under time pressure

    Birte U. Forstmann;Gilles Dutilh;Scott Brown;Jane Neumann

  • On the ability to inhibit thought and action: general and special theories of an act of control.

    Gordon D. Logan;Trisha Van Zandt;Frederick Verbruggen;Eric-Jan Wagenmakers

Frequent Co-Authors

Richard D. Morey
Richard D. Morey Cardiff University
Jeffrey N. Rouder
Jeffrey N. Rouder University of California, Irvine
Han L. J. van der Maas
Han L. J. van der Maas University of Amsterdam
Roger Ratcliff
Roger Ratcliff The Ohio State University
Denny Borsboom
Denny Borsboom University of Amsterdam
Christopher D. Chambers
Christopher D. Chambers Cardiff University
Simon Farrell
Simon Farrell University of Western Australia
Brian A. Nosek
Brian A. Nosek Center for Open Science
Sander Nieuwenhuis
Sander Nieuwenhuis Leiden University
René Zeelenberg
René Zeelenberg Erasmus University Rotterdam

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