Joachim Vandekerckhove

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	All	Since 2015
Citations	3761	3004
h-index	34	32
i10-index	53	51

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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 MatzkeAssociate 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. NunezCognitive Sciences, University of California, IrvineVerified email at uci.edu
Chris DonkinUNSWVerified email at unsw.edu.au
Polanczyk, GVProfessor Associado do Departamento de Psiquiatria da FMUSPVerified email at usp.br
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
Berna DevezerAssociate Professor of Marketing, University of IdahoVerified email at uidaho.edu
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

Joachim Vandekerckhove

University of California, Irvine

Verified email at uci.edu - Homepage

Response time modeling Data fusion Bayesian methods Robust science Cognitive psychometrics


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Hierarchical diffusion models for two-choice response times. J Vandekerckhove, F Tuerlinckx, MD Lee Psychological methods 16 (1), 44, 2011	247	2011
Fitting the Ratcliff diffusion model to experimental data J Vandekerckhove, F Tuerlinckx Psychonomic bulletin & review 14 (6), 1011-1026, 2007	235	2007
Diffusion model analysis with MATLAB: A DMAT primer J Vandekerckhove, F Tuerlinckx Behavior research methods 40 (1), 61-72, 2008	230	2008
Model Comparison and the Principle of Parsimony J Vandekerckhove, D Matzke, EJ Wagenmakers The Oxford Handbook of Computational and Mathematical Psychology, 300-318, 2015	225	2015
Testing theories of post-error slowing G Dutilh, J Vandekerckhove, BU Forstmann, E Keuleers, M Brysbaert, ... Attention, Perception, & Psychophysics 74 (2), 454-465, 2012	222	2012
A Bayesian perspective on the reproducibility project: Psychology A Etz, J Vandekerckhove PloS one 11 (2), e0149794, 2016	212	2016
Introduction to Bayesian inference for psychology A Etz, J Vandekerckhove Psychonomic Bulletin & Review 25 (1), 5-34, 2018	120	2018
A diffusion model decomposition of the practice effect G Dutilh, J Vandekerckhove, F Tuerlinckx, EJ Wagenmakers Psychonomic Bulletin & Review 16 (6), 1026-1036, 2009	120	2009
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	119	2015
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	114	2010
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	96	2014
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	94	2007
A hierarchical latent stochastic differential equation model for affective dynamics. Z Oravecz, F Tuerlinckx, J Vandekerckhove Psychological methods 16 (4), 468, 2011	92	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	84	2013
Pupil-linked arousal determines variability in perceptual decision making PR Murphy, J Vandekerckhove, S Nieuwenhuis PLoS Comput Biol 10 (9), e1003854, 2014	83	2014
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	78	2018
A hierarchical Ornstein–Uhlenbeck model for continuous repeated measurement data Z Oravecz, F Tuerlinckx, J Vandekerckhove Psychometrika 74 (3), 395-418, 2009	78	2009
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	76	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	69	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	67	2008

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