| depmixS4: An R Package for Hidden Markov Models I Visser, M Speekenbrink Journal of Statistical Software 36 (7), 1-21, 2010 | 267 | 2010 |
| Affective and cognitive decision-making in adolescents ACK van Duijvenvoorde, BRJ Jansen, I Visser, HM Huizenga Developmental neuropsychology 35 (5), 539-554, 2010 | 124 | 2010 |
| Seven things to remember about hidden Markov models: A tutorial on Markovian models for time series I Visser Journal of Mathematical Psychology 55 (6), 403-415, 2011 | 105 | 2011 |
| A phase transition model for the speed‐accuracy trade‐off in response time experiments G Dutilh, EJ Wagenmakers, I Visser, HLJ van der Maas Cognitive Science 35 (2), 211-250, 2011 | 104 | 2011 |
| Fitting hidden Markov models to psychological data I Visser, MEJ Raijmakers, P Molenaar Scientific Programming 10 (3), 185-199, 2002 | 83 | 2002 |
| Testing overall and moderator effects in random effects meta‐regression HM Huizenga, I Visser, CV Dolan British Journal of Mathematical and Statistical Psychology 64 (1), 1-19, 2011 | 79 | 2011 |
| Confidence intervals for hidden Markov model parameters I Visser, MEJ Raijmakers, P Molenaar British journal of mathematical and statistical psychology 53 (2), 317-327, 2000 | 73 | 2000 |
| Multiple learning modes in the development of performance on a rule-based category-learning task VD Schmittmann, I Visser, MEJ Raijmakers Neuropsychologia 44 (11), 2079-2091, 2006 | 70 | 2006 |
| 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, 1-19, 2018 | 56 | 2018 |
| Preschoolers perform more informative experiments after observing theory-violating evidence TJP van Schijndel, I Visser, BMCW van Bers, MEJ Raijmakers Journal of experimental child psychology 131, 104-119, 2015 | 51 | 2015 |
| Different executive functions support different kinds of cognitive flexibility: Evidence from 2‐, 3‐, and 4‐year‐olds E Blakey, I Visser, DJ Carroll Child development 87 (2), 513-526, 2016 | 44 | 2016 |
| Characterizing sequence knowledge using online measures and hidden Markov models I Visser, MEJ Raijmakers, PCM Molenaar Memory & cognition 35 (6), 1502-1517, 2007 | 39 | 2007 |
| Serious, violent young offenders in South Africa: Are they life-course persistent offenders? FA Souverein, CL Ward, I Visser, P Burton Journal of interpersonal violence 31 (10), 1859-1882, 2016 | 36 | 2016 |
| Major depressive disorder as a nonlinear dynamic system: bimodality in the frequency distribution of depressive symptoms over time B Hosenfeld, EH Bos, KJ Wardenaar, HJ Conradi, HLJ van der Maas, ... Bmc psychiatry 15 (1), 1-9, 2015 | 36 | 2015 |
| Hidden Markov models for individual time series I Visser, MEJ Raijmakers, HLJ van der Maas Dynamic process methodology in the social and developmental sciences, 269-289, 2009 | 34 | 2009 |
| Gazepath: An eye-tracking analysis tool that accounts for individual differences and data quality DR van Renswoude, MEJ Raijmakers, A Koornneef, SP Johnson, ... Behavior research methods 50 (2), 834-852, 2018 | 30 | 2018 |
| The dynamics of development on the Dimensional Change Card Sorting task BMCW van Bers, I Visser, TJP van Schijndel, DJ Mandell, ... Developmental Science 14 (5), 960-971, 2011 | 30 | 2011 |
| Do infants have the horizontal bias? DR Van Renswoude, SP Johnson, MEJ Raijmakers, I Visser Infant Behavior and Development 44, 38-48, 2016 | 23 | 2016 |
| Costs and benefits of automatization in category learning of ill-defined rules MEJ Raijmakers, VD Schmittmann, I Visser Cognitive psychology 69, 1-24, 2014 | 18 | 2014 |
| depmixS4: Dependent Mixture Models-Hidden Markov Models of GLMs and Other Distributions in S4 I Visser, M Speekenbrink | 17 | 2015 |
MEJ Raijmakersdepartment of Psychology, university of amsterdamEmail verificata su uva.nl
