Aims & Scope
The Journal of Choice Modelling publishes theoretical and applied papers in the field of choice modelling.
Papers are expected to either make a methodological contribution to the field, or to present an innovative application.
The journal is not limited to one area of study, such as transport or marketing, but invites contributions from across a range of disciplines where the analysis of choice behaviour is a topic of interest.
While the majority of papers focus on the use of discrete choice models, contributions looking at other methods are also welcome.
Similarly, the Journal of Choice Modelling also welcomes contributions looking at survey design.
In addition to standard full length research papers, JOCM also welcomes four other types of submissions: Research notes These are shorter articles that can be technical notes addressing a specific model specification, survey design, data collection or estimation issue or discussion pieces highlighting a particular concern in applied work.
No specific length limit is imposed, but potential authors may wish to look at volume 21 as an example for such articles.
Research notes are subject to the normal blind refereeing process to maintain the high standards of the journal.
View Aims & ScopeMetrics & Ranking
Impact Factor
| Year | Value |
|---|---|
| 2025 | 2.4 |
SJR (SCImago Journal Rank)
| Year | Value |
|---|---|
| 2024 | 1.027 |
Quartile
| Year | Value |
|---|---|
| 2024 | Q1 |
h-index
| Year | Value |
|---|---|
| 2024 | 42 |
Journal Rank
| Year | Value |
|---|---|
| 2024 | 4615 |
Journal Citation Indicator
| Year | Value |
|---|---|
| 2024 | 421 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Decision Sciences and Mathematics, designed to support cutting-edge academic discovery.
Licensing & Copyright
This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.
Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application
Citation: 603
Authors: Stephane, David
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Discrete Choice Experiments Are Not Conjoint Analysis
Citation: 519
Authors: Jordan J, Terry N, Richard T
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Is your dataset big enough? Sample size requirements when using artificial neural networks for discrete choice analysis
Citation: 396
Authors: Ahmad, Sander, Caspar G.
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Route choice modeling: past, present and future research directions
Citation: 365
Authors: Carlo Giacomo
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EM Algorithms for nonparametric estimation of mixing distributions
Citation: 198
Authors: Kenneth E.
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Modeling the choices of individual decision-makers by combining efficient choice experiment designs with extra preference information
Citation: 171
Authors: Jordan J., Deborah, Leonie, Nada, Towhidul, Anthony A.J.
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Approximation of bayesian efficiency in experimental choice designs
Citation: 154
Authors: Michiel C.J., John M., Stephane
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Designing a Stated Choice Experiment: The Value of a Qualitative Process
Citation: 144
Authors: Mirja Elisabeth, Mickael, Rikke
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The first time is the hardest: A test of ordering effects in choice experiments
Citation: 122
Authors: Fredrik, Morten Raun, Søren Bøye