| AIC model selection using Akaike weights EJ Wagenmakers, S Farrell Psychonomic bulletin & review 11, 192-196, 2004 | 3067 | 2004 |
| Estimation and interpretation of 1/fα noise in human cognition EJ Wagenmakers, S Farrell, R Ratcliff Psychonomic bulletin & review 11 (4), 579-615, 2004 | 464 | 2004 |
| Modeling working memory: An interference model of complex span K Oberauer, S Lewandowsky, S Farrell, C Jarrold, M Greaves Psychonomic bulletin & review 19 (5), 779-819, 2012 | 456 | 2012 |
| An endogenous distributed model of ordering in serial recall S Farrell, S Lewandowsky Psychonomic bulletin & review 9 (1), 59-79, 2002 | 450 | 2002 |
| Computational modeling in cognition: Principles and practice S Lewandowsky, S Farrell Sage, 2010 | 438 | 2010 |
| 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 | 401 | 2018 |
| What limits working memory capacity? K Oberauer, S Farrell, C Jarrold, S Lewandowsky Psychological bulletin 142 (7), 758, 2016 | 365 | 2016 |
| Temporal clustering and sequencing in short-term memory and episodic memory. S Farrell Psychological review 119 (2), 223, 2012 | 294 | 2012 |
| Computational modeling of cognition and behavior S Farrell, S Lewandowsky Cambridge University Press, 2018 | 263 | 2018 |
| Short-term memory: New data and a model S Lewandowsky, S Farrell Psychology of learning and motivation 49, 1-48, 2008 | 257 | 2008 |
| Computational models as aids to better reasoning in psychology S Farrell, S Lewandowsky Current Directions in Psychological Science 19 (5), 329-335, 2010 | 174 | 2010 |
| Human cognition and a pile of sand: a discussion on serial correlations and self-organized criticality. EJ Wagenmakers, S Farrell, R Ratcliff Journal of experimental psychology: General 134 (1), 108, 2005 | 172 | 2005 |
| Analyzing social media data: A mixed-methods framework combining computational and qualitative text analysis M Andreotta, R Nugroho, MJ Hurlstone, F Boschetti, S Farrell, I Walker, ... Behavior research methods 51, 1766-1781, 2019 | 163 | 2019 |
| Modelling transposition latencies: Constraints for theories of serial order memory S Farrell, S Lewandowsky Journal of Memory and Language 51 (1), 115-135, 2004 | 163 | 2004 |
| A consensus-based transparency checklist B Aczel, B Szaszi, A Sarafoglou, Z Kekecs, Š Kucharský, D Benjamin, ... Nature human behaviour 4 (1), 4-6, 2020 | 155 | 2020 |
| 1/f noise in human cognition: Is it ubiquitous, and what does it mean? S Farrell, EJ Wagenmakers, R Ratcliff Psychonomic bulletin & review 13 (4), 737-741, 2006 | 113 | 2006 |
| Bayesian and maximum likelihood estimation of hierarchical response time models S Farrell, CJH Ludwig Psychonomic bulletin & review 15 (6), 1209-1217, 2008 | 108 | 2008 |
| A connectionist model of complacency and adaptive recovery under automation. S Farrell, S Lewandowsky Journal of Experimental Psychology: Learning, Memory, and Cognition 26 (2), 395, 2000 | 90 | 2000 |
| Mixed-list phonological similarity effects in delayed serial recall S Farrell Journal of Memory and Language 55 (4), 587-600, 2006 | 85 | 2006 |
| Abstract concepts require concrete models: Why cognitive scientists have not yet embraced nonlinearly coupled, dynamical, self‐organized critical, synergistic, scale‐free … EJ Wagenmakers, HLJ van der Maas, S Farrell Topics in cognitive science 4 (1), 87-93, 2012 | 83 | 2012 |
Stephan LewandowskyProfessor of Psychology, University of BristolVerified email at bristol.ac.uk
