Joachim Vandekerckhove - Google Scholar Citations

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francis tuerlinckxUniversity of LeuvenVerified email at ppw.kuleuven.be
Eric-Jan WagenmakersUniversity of AmsterdamVerified email at uva.nl
Michael LeeProfessor of Cognitive Sciences, University of California IrvineVerified email at uci.edu
Zita OraveczThe Pennsylvania State UniversityVerified email at psu.edu
Dora MatzkeAssistant Professor, University of AmsterdamVerified email at uva.nl
Gilles DutilhStatistical Consultant Universitätsspital BaselVerified email at usb.ch
Jeffrey N. RouderUniversity of California, IrvineVerified email at uci.edu
Alexander EtzUniversity of California, IrvineVerified email at uci.edu
Jennifer TruebloodVanderbilt UniversityVerified email at vanderbilt.edu
Ramesh SrinivasanUniversity of California, IrvineVerified email at uci.edu
Don van RavenzwaaijAssociate Professor @University of GroningenVerified email at rug.nl
Michael D. NunezPsychiatry and Biobehavioral Sciences, UCLAVerified email at uci.edu
Chris DonkinUNSWVerified email at unsw.edu.au
Corey WhiteDepartment of Psychology, Missouri Western State UniversityVerified email at missouriwestern.edu
Giovanni Abrahão SalumAssociate Professor (Universidade Federal do Rio Grande do Sul)Verified email at hcpa.edu.br
Luis Augusto RohdeHospital de Clínicas de Porto Alegre - HCPA; Professor de Psiquiatria da Universidade Federal do RioVerified email at hcpa.edu.br
Polanczyk, GVProfessor Associado do Departamento de Psiquiatria da FMUSPVerified email at usp.br
Beth BaribaultPostdoctoral researcher, University of California, BerkeleyVerified email at berkeley.edu
Johan W.S. VlaeyenProfessor of Behavioral Medicine, University of Leuven, Belgium and Maastricht UniversityVerified email at kuleuven.be
Edmund Sonuga-BarkeProfessor of Developmental Psychology, Psychiatry and Neuroscience, Kings College LondonVerified email at kcl.ac.uk

Joachim Vandekerckhove

University of California, Irvine

Verified email at uci.edu - Homepage

Response time modeling Joint modeling Bayesian methods Robust science Statistical forensics


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Hierarchical diffusion models for two-choice response times. J Vandekerckhove, F Tuerlinckx, MD Lee Psychological methods 16 (1), 44, 2011	234	2011
Fitting the Ratcliff diffusion model to experimental data J Vandekerckhove, F Tuerlinckx Psychonomic bulletin & review 14 (6), 1011-1026, 2007	230	2007
Diffusion model analysis with MATLAB: A DMAT primer J Vandekerckhove, F Tuerlinckx Behavior research methods 40 (1), 61-72, 2008	226	2008
Testing theories of post-error slowing G Dutilh, J Vandekerckhove, BU Forstmann, E Keuleers, M Brysbaert, ... Attention, Perception, & Psychophysics 74 (2), 454-465, 2012	216	2012
A Bayesian perspective on the reproducibility project: Psychology A Etz, J Vandekerckhove PloS one 11 (2), e0149794, 2016	194	2016
Model Comparison and the Principle of Parsimony J Vandekerckhove, D Matzke, EJ Wagenmakers The Oxford Handbook of Computational and Mathematical Psychology, 300-318, 2015	191	2015
A diffusion model decomposition of the practice effect G Dutilh, J Vandekerckhove, F Tuerlinckx, EJ Wagenmakers Psychonomic Bulletin & Review 16 (6), 1026-1036, 2009	116	2009
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	112	2010
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	105	2015
On the predictive validity of indirect attitude measures: Prediction of consumer choice behavior on the basis of affective priming in the picture–picture naming task A Spruyt, D Hermans, J De Houwer, J Vandekerckhove, P Eelen Journal of Experimental Social Psychology 43 (4), 599-610, 2007	92	2007
Introduction to Bayesian inference for psychology A Etz, J Vandekerckhove Psychonomic Bulletin & Review 25 (1), 5-34, 2018	91	2018
Extending JAGS: A tutorial on adding custom distributions to JAGS (with a diffusion model example) D Wabersich, J Vandekerckhove Behavior research methods 46 (1), 15-28, 2014	86	2014
A hierarchical latent stochastic differential equation model for affective dynamics. Z Oravecz, F Tuerlinckx, J Vandekerckhove Psychological methods 16 (4), 468, 2011	85	2011
A diffusion model account of the relationship between the emotional flanker task and rumination and depression. ML Pe, J Vandekerckhove, P Kuppens Emotion 13 (4), 739, 2013	77	2013
Pupil-linked arousal determines variability in perceptual decision making PR Murphy, J Vandekerckhove, S Nieuwenhuis PLoS Comput Biol 10 (9), e1003854, 2014	76	2014
A hierarchical Ornstein–Uhlenbeck model for continuous repeated measurement data Z Oravecz, F Tuerlinckx, J Vandekerckhove Psychometrika 74 (3), 395-418, 2009	73	2009
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	70	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	68	2014
Specificity of basic information processing and inhibitory control in attention deficit hyperactivity disorder GA Salum, J Sergeant, E Sonuga-Barke, J Vandekerckhove, A Gadelha, ... Psychological Medicine 44 (3), 617, 2014	67	2014
A Bayesian approach to diffusion process models of decision-making J Vandekerckhove, F Tuerlinckx, MD Lee Proceedings of the 30th annual conference of the cognitive science society, 2008	64	2008

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