Benchmarks for models of short-term and working memory. K Oberauer, S Lewandowsky, E Awh, GDA Brown, A Conway, N Cowan, ... Psychological Bulletin 144 (9), 885, 2018 | 358 | 2018 |
The hare and the tortoise: emphasizing speed can change the evidence used to make decisions B Rae, A Heathcote, C Donkin, L Averell, S Brown Journal of Experimental Psychology: Learning, Memory, and Cognition, 2014 | 248 | 2014 |
Diffusion versus linear ballistic accumulation: different models but the same conclusions about psychological processes? C Donkin, S Brown, A Heathcote, EJ Wagenmakers Psychonomic bulletin & review 18 (1), 61-69, 2011 | 232 | 2011 |
Short-term memory scanning viewed as exemplar-based categorization. RM Nosofsky, DR Little, C Donkin, M Fific Psychological review 118 (2), 280, 2011 | 187 | 2011 |
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 | 174 | 2018 |
The overconstraint of response time models: Rethinking the scaling problem C Donkin, SD Brown, A Heathcote Psychonomic bulletin & review 16 (6), 1129-1135, 2009 | 162 | 2009 |
Is preregistration worthwhile? A Szollosi, D Kellen, DJ Navarro, R Shiffrin, I van Rooij, T Van Zandt, ... Trends in Cognitive Sciences, 2019 | 159 | 2019 |
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 26 (4), 1051-1069, 2019 | 155 | 2019 |
Discrete-slots models of visual working-memory response times. C Donkin, RM Nosofsky, JM Gold, RM Shiffrin Psychological Review, 2013 | 149 | 2013 |
An integrated model of choices and response times in absolute identification. SD Brown, AAJ Marley, C Donkin, A Heathcote Psychological Review 115 (2), 396, 2008 | 133 | 2008 |
A power-law model of psychological memory strength in short-and long-term recognition C Donkin, RM Nosofsky Psychological science 23 (6), 625-634, 2012 | 127 | 2012 |
The EZ diffusion model provides a powerful test of simple empirical effects D van Ravenzwaaij, C Donkin, J Vandekerckhove Psychonomic bulletin & review 24 (2), 547-556, 2017 | 126 | 2017 |
Measuring Intuition: Nonconscious Emotional Information Boosts Decision Accuracy and Confidence G Lufityanto, C Donkin, J Pearson Psychological Science 1, 13, 2016 | 121 | 2016 |
Drawing conclusions from choice response time models: A tutorial using the linear ballistic accumulator C Donkin, S Brown, A Heathcote Journal of Mathematical Psychology 55 (2), 140-151, 2011 | 120 | 2011 |
Robust modeling in cognitive science MD Lee, AH Criss, B Devezer, C Donkin, A Etz, FP Leite, D Matzke, ... Computational Brain & Behavior, 1-13, 2019 | 119 | 2019 |
Cognitive control and counterproductive oculomotor capture by reward-related stimuli D Pearson, C Donkin, SC Tran, SB Most, ME Le Pelley Visual Cognition, 2015 | 108 | 2015 |
Unconscious information changes decision accuracy but not confidence A Vlassova, C Donkin, J Pearson Proceedings of the National Academy of Sciences 111 (45), 16214-16218, 2014 | 108 | 2014 |
Getting more from accuracy and response time data: Methods for fitting the linear ballistic accumulator C Donkin, L Averell, S Brown, A Heathcote Behavior research methods 41 (4), 1095-1110, 2009 | 106 | 2009 |
Converging measures of workload capacity A Eidels, C Donkin, SD Brown, A Heathcote Psychonomic bulletin & review 17 (6), 763-771, 2010 | 94 | 2010 |
Arrested theory development: The misguided distinction between exploratory and confirmatory research A Szollosi, C Donkin Perspectives on Psychological Science 16 (4), 717-724, 2021 | 90 | 2021 |