Journal of Choice Modelling

Papers
(The H4-Index of Journal of Choice Modelling is 14. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-05-01 to 2024-05-01.)
ArticleCitations
The overreliance on statistical goodness-of-fit and under-reliance on model validation in discrete choice models: A review of validation practices in the transportation academic literature53
A systematic review of machine learning classification methodologies for modelling passenger mode choice48
Hypothetical bias in stated choice experiments: Part II. Conceptualisation of external validity, sources and explanations of bias and effectiveness of mitigation methods44
Hypothetical bias in stated choice experiments: Part I. Macro-scale analysis of literature and integrative synthesis of empirical evidence from applied economics, experimental psychology and neuroimag41
Choice modelling in the age of machine learning - Discussion paper33
The landscape of econometric discrete choice modelling research31
Multitask learning deep neural networks to combine revealed and stated preference data19
Computationally efficient forecasting procedures for Kuhn-Tucker consumer demand model systems: Application to residential energy consumption analysis18
Consumer ‘app-etite’ for workers' rights in the Australian ‘gig’ economy18
mixl: An open-source R package for estimating complex choice models on large datasets17
Individual-specific posterior distributions from Mixed Logit models: Properties, limitations and diagnostic checks16
Mapping potentials and challenges of choice modelling for social science research15
On the use of virtual immersive reality for discrete choice experiments to modelling pedestrian behaviour14
Evaluating the predictive abilities of mixed logit models with unobserved inter- and intra-individual heterogeneity14
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