| Rational approximations to rational models: alternative algorithms for category learning. AN Sanborn, TL Griffiths, DJ Navarro Psychological Review 117 (4), 1144-1167, 2010 | 529 | 2010 |
| Learning statistics with R D Navarro https://learningstatisticswithr.com/, 2015 | 486 | 2015 |
| 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 | 409 | 2019 |
| 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 | 278 | 2013 |
| Learning statistics with jamovi: A tutorial for psychology students and other beginners (Version 0.70) DJ Navarro, DR Foxcroft Tillgänglig online: http://learnstatswithjamovi. com https://doi. org/10 …, 2019 | 269 | 2019 |
| 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 | 219 | 2009 |
| Modeling individual differences using Dirichlet processes DJ Navarro, TL Griffiths, M Steyvers, MD Lee Journal of Mathematical Psychology 50 (2), 101-122, 2006 | 204 | 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 | 184 | 2012 |
| Global model analysis by parameter space partitioning. MA Pitt, W Kim, DJ Navarro, JI Myung Psychological Review 113 (1), 57-83, 2006 | 184 | 2006 |
| 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 | 181 | 2021 |
| Is preregistration worthwhile? A Szollosi, D Kellen, DJ Navarro, R Shiffrin, I van Rooij, T Van Zandt, ... Trends in cognitive sciences 24 (2), 94-95, 2020 | 181 | 2020 |
| Model selection by normalized maximum likelihood JI Myung, DJ Navarro, MA Pitt Journal of Mathematical Psychology 50 (2), 167-179, 2006 | 167 | 2006 |
| 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 | 156 | 2017 |
| A more rational model of categorization A Sanborn, T Griffiths, D Navarro Proceedings of the 28th Annual Conference of the Cognitive Science Society, 2006 | 151 | 2006 |
| Between the devil and the deep blue sea: Tensions between scientific judgement and statistical model selection DJ Navarro Computational Brain & Behavior 2 (1), 28-34, 2019 | 133 | 2019 |
| Assessing the distinguishability of models and the informativeness of data DJ Navarro, MA Pitt, IJ Myung Cognitive Psychology 49 (1), 47-84, 2004 | 124 | 2004 |
| 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 | 123 | 2007 |
| Learning and choosing in an uncertain world: An investigation of the explore-exploit dilemma in static and dynamic environments DJ Navarro, BR Newell, C Schulze Cognitive Psychology 85, 43-77, 2016 | 119 | 2016 |
| Large-scale network representations of semantics in the mental lexicon S De Deyne, YN Kenett, D Anaki, M Faust Big data in cognitive science, 183-189, 2016 | 115 | 2016 |
| Hypothesis generation, the positive test strategy, and sparse categories DJ Navarro, A Perfors Psychological Review 118, 120-134, 2011 | 107* | 2011 |