Journal of Mathematical Psychology

Aims & Scope

The Journal of Mathematical Psychology includes articles, monographs and reviews, notes and commentaries, and book reviews in all areas of mathematical psychology.

Empirical and theoretical contributions are equally welcome.

Areas of special interest include, but are not limited to, fundamental measurement and psychological process models, such as those based upon neural network or information processing concepts.

A partial listing of substantive areas covered include sensation and perception, psychophysics, learning and memory, problem solving, judgment and decision-making, and motivation.

The Journal of Mathematical Psychology is affiliated with the Society for Mathematical Psychology.

Research Areas include: • Models for sensation and perception, learning, memory and thinking • Fundamental measurement and scaling • Decision making • Neural modeling and networks • Psychophysics and signal detection • Neuropsychological theories • Psycholinguistics • Motivational dynamics • Animal behavior • Psychometric theory

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.5
2024	2.20

SJR (SCImago Journal Rank)

Year	Value
2024	0.742

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	83

Journal Rank

Year	Value
2024	7513

Journal Citation Indicator

Year	Value
2024	256

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Mathematics and Psychology, designed to support cutting-edge academic discovery.

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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.

• A scaling method for priorities in hierarchical structures

  Citation: 7216

  Authors: Thomas L

• Default Bayes factors for ANOVA designs

  Citation: 1362

  Authors: Jeffrey N., Richard D., Paul L., Jordan M.

• Simultaneous conjoint measurement: A new type of fundamental measurement

  Citation: 1341

  Authors: R.Duncan, John W.

• A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions

  Citation: 1303

  Authors: Eric, Maarten, Andreas

• Tutorial on maximum likelihood estimation

  Citation: 1206

  Authors: In Jae

• The area above the ordinal dominance graph and the area below the receiver operating characteristic graph

  Citation: 1055

  Authors: Donald

• Cross-Validation Methods

  Citation: 982

  Authors: Michael W

• A Distributed Representation of Temporal Context

  Citation: 802

  Authors: Marc W., Michael J.

• A note on the analysis of subjective judgment matrices

  Citation: 728

  Authors: Gordon, Cindy

• Bayesian Model Selection and Model Averaging

  Citation: 670

  Authors: Larry

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