Journal of Choice Modelling
Q1 Journal
Open Access
Journal
Country
Netherlands
Western Europe
Subject Area and Category
Decision Sciences
└
Modeling and Simulation
Q1
└
Statistics, Probability and Uncertainty
Q2
Publisher
SJR 2025
0.861
Q1
SJR Score
H-Index
45
Citations / Doc (2yr)
3.00
Total Docs. (latest)
26
Total Citations (3yr)
354
Publication type
Journals
ISSN
17555345
Coverage
2008-2026
Journal Rank
#6,177
Subject Categories
Modeling and Simulation
Q1
Statistics, Probability and Uncertainty
Q2
Subject Areas
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.
Abstracting & Indexing
Scopus
Google Scholar
Web of Science
Detailed Metrics
| Total Docs. (latest) | 26 |
| Total Docs. (3 years) | 107 |
| Total Refs. | 1,366 |
| Total Citations (3 years) | 354 |
| Citable Docs. (3 years) | 106 |
| Citations / Doc. (2 years) | 3.00 |
| Ref. / Doc. | 52.54 |
| % Female | 24.3% |
Metrics Visualization
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