OOIR: Observatory of International Research

Papers

(The TQCC of Journal of Choice Modelling is 6. 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 2021-12-01 to 2025-12-01.)

Article	Citations
On the impact of decision rule assumptions in experimental designs on preference recovery: An application to climate change adaptation measures	101
Modelling household online shopping and home delivery demand using latent class & ordinal generalized extreme value (GEV) models	98
Quantifying the value of carbon label information in food choice using drift diffusion modelling	79
Cube model: Predictions and account for best–worst choice situations with three choice alternatives	43
Predicting choices of street-view images: A comparison between discrete choice models and machine learning models	35
Capturing trade-offs between daily scheduling choices	32
Estimating decision rule differences between ‘best’ and ‘worst’ choices in a sequential best worst discrete choice experiment	32
A Bayesian generalized rank ordered logit model	25
Evaluating the predictive abilities of mixed logit models with unobserved inter- and intra-individual heterogeneity	22
The impact of violations of expected utility theory on choices in the face of multiple risks	21
Testing for saliency-led choice behavior in discrete choice modeling: An application in the context of preferences towards nuclear energy in Italy	16
Decision field theory: An extension for real-world settings	16
Australian community preferences for hotel quarantine options within the Logit Mixed Logit Model framework	16
Estimating a model of forward-looking behavior with discrete choice experiments: The case of lifetime hunting license demand	15
A Bayesian hierarchical approach to the joint modelling of Revealed and stated choices	15
Optimal sequential strategy to improve the precision of the estimators in a discrete choice experiment: A simulation study	15
Editorial Board	14
Utilising activity space concepts to sampling of alternatives for mode and destination choice modelling of discretionary activities	13
Weibit choice models: Properties, mode choice application and graphical illustrations	13
Modeling preference heterogeneity using model-based decision trees	12
Editorial Board	12
Editorial Board	11
Editorial Board	11
Building a life-course intertemporal discrete choice model to analyze migration biographies	10
A hierarchical Bayesian logit model for spatial multivariate choice data	10

Can an ‘informed’ general population sample be comparable to a patient sample? A case study of preferences for chemotherapy induced peripheral neuropathy	10
A consistent moment equations for binary probit models with endogenous variables using instrumental variables	9
Preference estimation from point allocation experiments	9
Editorial Board	8
Control Function Approach for Addressing Endogeneity in Transport Models: A Case Study on the London–Amsterdam Route	8
A smooth bounded choice model: Formulation and application in three large-scale case studies	8
Exploring the choice landscape: Anchoring and framing effects on search behavior in complex choices	7
Outside good utility and substitution patterns in direct utility models	7
One or two-step? Evaluating GMM efficiency for spatial binary probit models	7
Joint analysis of preferences and drop out data in discrete choice experiments	7
A method to integrate strategic alignment in freight transportation behavioral models	6
Hypothetical bias in stated choice experiments: Part II. Conceptualisation of external validity, sources and explanations of bias and effectiveness of mitigation methods	6
Attribute range effects: Preference anomaly or unexplained variance?	6
Real payment priming to reduce potential hypothetical bias	6
Analysis of attribute importance in multinomial logit models using Shapley values-based methods	6
A micro-econometric framework for Participatory Value Evaluation	6
Capturing the effect of multiple social influence sources on the adoption of new transport technologies and services	6
Exploring the subscribing behavior of customized bus passengers: Active users versus inactive users	6