Rational approximations to rational models: alternative algorithms for category learning. AN Sanborn, TL Griffiths, DJ Navarro Psychological Review 117 (4), 1144-1167, 2010 | 421 | 2010 |

Learning statistics with R D Navarro https://learningstatisticswithr.com/, 2015 | 261* | 2015 |

Modeling individual differences using Dirichlet processes DJ Navarro, TL Griffiths, M Steyvers, MD Lee Journal of Mathematical Psychology 50 (2), 101-122, 2006 | 167 | 2006 |

Better explanations of lexical and semantic cognition using networks derived from continued rather than single-word associations S De Deyne, DJ Navarro, G Storms Behavior Research Methods 45 (2), 480-498, 2013 | 161 | 2013 |

Global model analysis by parameter space partitioning. MA Pitt, W Kim, DJ Navarro, JI Myung Psychological Review 113 (1), 57-83, 2006 | 146 | 2006 |

A more rational model of categorization A Sanborn, T Griffiths, D Navarro Proceedings of the 28th Annual Conference of the Cognitive Science Society, 2006 | 133 | 2006 |

Model selection by normalized maximum likelihood JI Myung, DJ Navarro, MA Pitt Journal of Mathematical Psychology 50 (2), 167-179, 2006 | 131 | 2006 |

Epistemic trust: Modeling children’s reasoning about others’ knowledge and intent P Shafto, B Eaves, DJ Navarro, A Perfors Developmental Science 15 (3), 436-447, 2012 | 119 | 2012 |

Fast and accurate calculations for first-passage times in Wiener diffusion models DJ Navarro, IG Fuss Journal of Mathematical Psychology 53 (4), 222-230, 2009 | 117 | 2009 |

Assessing the distinguishability of models and the informativeness of data DJ Navarro, MA Pitt, IJ Myung Cognitive Psychology 49 (1), 47-84, 2004 | 107 | 2004 |

Bayesian models of cognition revisited: Setting optimality aside and letting data drive psychological theory. S Tauber, DJ Navarro, A Perfors, M Steyvers Psychological Review 124 (4), 410, 2017 | 101 | 2017 |

Unifying rational models of categorization via the hierarchical Dirichlet process T Griffiths, K Canini, A Sanborn, D Navarro Proceedings of the 29th Annual Cognitive Science Society, 2007 | 99 | 2007 |

Extending the ALCOVE model of category learning to featural stimulus domains MD Lee, DJ Navarro Psychonomic Bulletin & Review 9 (1), 43-58, 2002 | 82 | 2002 |

The “Small World of Words” English word association norms for over 12,000 cue words S De Deyne, DJ Navarro, A Perfors, M Brysbaert, G Storms Behavior Research Methods 51 (3), 987-1006, 2019 | 80 | 2019 |

Common and distinctive features in stimulus similarity: A modified version of the contrast model DJ Navarro, MD Lee Psychonomic Bulletin & Review 11 (6), 961-974, 2004 | 74 | 2004 |

Hypothesis generation, the positive test strategy, and sparse categories DJ Navarro, A Perfors Psychological Review 118, 120-134, 2011 | 72* | 2011 |

Latent features in similarity judgments: A nonparametric Bayesian approach DJ Navarro, TL Griffiths Neural Computation 20 (11), 2597-2628, 2008 | 69 | 2008 |

Open parallel cooperative and competitive decision processes: A potential provenance for quantum probability decision models IG Fuss, DJ Navarro Topics in Cognitive Science 5 (4), 818-843, 2013 | 67 | 2013 |

Categorization as nonparametric Bayesian density estimation TL Griffiths, AN Sanborn, KR Canini, DJ Navarro The probabilistic mind: Prospects for Bayesian cognitive science, 303-328, 2008 | 63 | 2008 |

Large-scale network representations of semantics in the mental lexicon. S De Deyne, YN Kenett, D Anaki, M Faust, D Navarro Routledge/Taylor & Francis Group, 2017 | 54 | 2017 |