| Model Comparison and the Principle of Parsimony J Vandekerckhove, D Matzke, EJ Wagenmakers The Oxford Handbook of Computational and Mathematical Psychology, 300-318, 2015 | 446 | 2015 |
| Hierarchical diffusion models for two-choice response times. J Vandekerckhove, F Tuerlinckx, MD Lee Psychological methods 16 (1), 44, 2011 | 365 | 2011 |
| Testing theories of post-error slowing G Dutilh, J Vandekerckhove, BU Forstmann, E Keuleers, M Brysbaert, ... Attention, Perception, & Psychophysics 74, 454-465, 2012 | 347 | 2012 |
| A Bayesian perspective on the reproducibility project: Psychology A Etz, J Vandekerckhove PloS one 11 (2), e0149794, 2016 | 303 | 2016 |
| Fitting the Ratcliff diffusion model to experimental data J Vandekerckhove, F Tuerlinckx Psychonomic bulletin & review 14, 1011-1026, 2007 | 279 | 2007 |
| Diffusion model analysis with MATLAB: A DMAT primer J Vandekerckhove, F Tuerlinckx Behavior research methods 40 (1), 61-72, 2008 | 270 | 2008 |
| Introduction to Bayesian inference for psychology A Etz, J Vandekerckhove Psychonomic bulletin & review 25, 5-34, 2018 | 233 | 2018 |
| Meta-analyses are no substitute for registered replications: A skeptical perspective on religious priming M Van Elk, D Matzke, Q Gronau, M Guan, J Vandekerckhove, ... Frontiers in psychology 6, 1365, 2015 | 192 | 2015 |
| Metastudies for robust tests of theory B Baribault, C Donkin, DR Little, JS Trueblood, Z Oravecz, ... Proceedings of the National Academy of Sciences 115 (11), 2607-2612, 2018 | 176 | 2018 |
| Pupil-linked arousal determines variability in perceptual decision making PR Murphy, J Vandekerckhove, S Nieuwenhuis PLoS computational biology 10 (9), e1003854, 2014 | 162 | 2014 |
| Extending JAGS: A tutorial on adding custom distributions to JAGS (with a diffusion model example) D Wabersich, J Vandekerckhove Behavior research methods 46, 15-28, 2014 | 156 | 2014 |
| A diffusion model decomposition of the practice effect G Dutilh, J Vandekerckhove, F Tuerlinckx, EJ Wagenmakers Psychonomic Bulletin & Review 16, 1026-1036, 2009 | 156 | 2009 |
| The quality of response time data inference: A blinded, collaborative assessment of the validity of cognitive models G Dutilh, J Annis, SD Brown, P Cassey, NJ Evans, RPPP Grasman, ... Psychonomic bulletin & review 26, 1051-1069, 2019 | 155 | 2019 |
| The case for formal methodology in scientific reform B Devezer, DJ Navarro, J Vandekerckhove, E Ozge Buzbas Royal Society open science 8 (3), 200805, 2021 | 152 | 2021 |
| How attention influences perceptual decision making: Single-trial EEG correlates of drift-diffusion model parameters MD Nunez, J Vandekerckhove, R Srinivasan Journal of mathematical psychology 76, 117-130, 2017 | 146 | 2017 |
| Bayesian parameter estimation in the Expectancy Valence model of the Iowa gambling task R Wetzels, J Vandekerckhove, F Tuerlinckx, EJ Wagenmakers Journal of Mathematical Psychology 54 (1), 14-27, 2010 | 137 | 2010 |
| A hierarchical latent stochastic differential equation model for affective dynamics. Z Oravecz, F Tuerlinckx, J Vandekerckhove Psychological methods 16 (4), 468, 2011 | 135 | 2011 |
| The EZ diffusion model provides a powerful test of simple empirical effects D van Ravenzwaaij, C Donkin, J Vandekerckhove Psychonomic bulletin & review 24, 547-556, 2017 | 126 | 2017 |
| Bayesian methods for advancing psychological science J Vandekerckhove, JN Rouder, JK Kruschke Psychonomic Bulletin & Review 25, 1-4, 2018 | 120 | 2018 |
| Influence of prior information on pain involves biased perceptual decision-making K Wiech, J Vandekerckhove, J Zaman, F Tuerlinckx, JWS Vlaeyen, ... Current Biology 24 (15), R679-R681, 2014 | 119 | 2014 |
francis tuerlinckxUniversity of Leuven在 ppw.kuleuven.be 的电子邮件经过验证
