| Dynamic models of choice A Heathcote, YS Lin, A Reynolds, L Strickland, M Gretton, D Matzke Behavior research methods 51 (2), 961-985, 2019 | 77 | 2019 |
| Racing to remember: A theory of decision control in event-based prospective memory. L Strickland, S Loft, RW Remington, A Heathcote Psychological Review 125 (6), 851, 2018 | 45 | 2018 |
| Accumulating evidence about what prospective memory costs actually reveal. L Strickland, A Heathcote, RW Remington, S Loft Journal of Experimental Psychology: Learning, Memory, and Cognition 43 (10 …, 2017 | 40 | 2017 |
| Cognitive Control and Capacity for Prospective Memory in Complex Dynamic Environments R Boag, L Strickland, A Heathcote, A Neal, S Loft Journal of Experimental Psychology: General, 0 | 16* | |
| Prospective memory in the red zone: Cognitive control and capacity sharing in a complex, multi-stimulus task L Strickland, D Elliott, MD Wilson, S Loft, A Neal, A Heathcote Journal of Experimental Psychology: Applied, 0 | 16* | |
| Strategic attention and decision control support prospective memory in a complex dual-task environment R Boag, L Strickland, S Loft, A Heathcote Cognition, 0 | 10* | |
| Investigating the effects of ongoing-task bias on prospective memory L Strickland, S Loft, A Heathcote Quarterly journal of experimental psychology 73 (9), 1495-1513, 2020 | 2 | 2020 |
| Evidence accumulation models with R: A practical guide to hierarchical Bayesian methods YS Lin, L Strickland The Quantitative Methods for Psychology, 0 | 2* | |
| Prospective memory performance in simulated air traffic control: robust to interruptions but impaired by retention interval MD Wilson, L Strickland, S Farrell, TAW Visser, S Loft Human factors 62 (8), 1249-1264, 2020 | 1 | 2020 |
| FIPS: An R Package for Biomathematical Modelling of Human Fatigue Related Impairment MD Wilson, L Strickland, T Ballard Journal of Open Source Software 5 (51), 2340, 2020 | 1 | 2020 |
| All models are wrong, some are useful, but are they reproducible? Commentary on Lee et al.(2019) MD Wilson, RJ Boag, L Strickland Computational Brain & Behavior 2 (3), 239-241, 2019 | 1 | 2019 |
| Understanding fatigue in a naval submarine: Applying biomathematical models and workload measurement in an intensive longitudinal design MD Wilson, T Ballard, L Strickland, AA Boeing, B Cham, MA Griffin, ... Applied Ergonomics 94, 103412, 2021 | | 2021 |
| Stopping timed actions. D Matzke, LJG Strickland, C Sripada, AS Weigard, R Puri, J He, R Hirst, ... PsyArXiv, 2021 | | 2021 |
| Target learning in event-based prospective memory. L Strickland, A Heathcote, MS Humphreys, S Loft Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021 | | 2021 |
| Inhibitory cognitive control allows automated advice to improve accuracy while minimizing misuse L Strickland, A Heathcote, V Bowden, R Boag, M Wilson, S Khan, S Loft PSYCHOLOGICAL SCIENCE, 2021 | | 2021 |
| Modelling how humans use decision aids in simulated air traffic control L Strickland, V Bowden, R Boag, A Heathcote, S Loft Australasian Mathematical Psychology Conference, 2020 | | 2020 |
| Author Note RJ Boag, L Strickland, S Loft, A Heathcote Cognition, 2019 | | 2019 |
| Evidence Accumulation Modeling of Event-Based Prospective Memory L Strickland, S Loft, A Heathcote Current Issues in Memory: Prospective Memory, 2019 | | 2019 |
| The Race to Remember: A Computational Model of Event-Based Prospective Memory L Strickland | | 2018 |
| Depression and risk of unintentional injury in rural communities a longitudinal analysis of the Australian rural mental health study L Fragar, T Lower, A Booth, T Handley, E Holliday, KJ Inder, BJ Kelly, ... Molecular Diversity Preservation International, 2017 | | 2017 |
