IMA Journal of Management Mathematics

Aims & Scope

The mission of this quarterly journal is to publish mathematical research of the highest quality, impact and relevance that can be directly utilised or have demonstrable potential to be employed by managers in profit, not-for-profit, third party and governmental/public organisations to improve their practices.

Thus the research must be quantitative and of the highest quality if it is to be published in the journal.

Furthermore, the outcome of the research must be ultimately useful for managers.

The journal also publishes novel meta-analyses of the literature, reviews of the "state-of-the art" in a manner that provides new insight, and genuine applications of mathematics to real-world problems in the form of case studies.

The journal welcomes papers dealing with topics in Operational Research and Management Science, Operations Management, Decision Sciences, Transportation Science, Marketing Science, Analytics, and Financial and Risk Modelling.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	4.3
2024	1.90

Journal Rank

Year	Value
2024	9302

Journal Citation Indicator

Year	Value
2024	259

SJR (SCImago Journal Rank)

Year	Value
2024	0.622

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	40

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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 Business, Management and Accounting, Decision Sciences, Economics, Econometrics and Finance and Mathematics, 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.

• Calculation of reliability function and remaining useful life for a Markov failure time process

  Citation: 115

  Authors: D., A. K. S.

• Spare parts management: a review of forecasting research and extensions

  Citation: 107

  Authors: J. E., A. A.

• A model to predict the residual life of rolling element bearings given monitored condition information to date

  Citation: 103

  Authors: W.

• Bayesian modelling of football outcomes: using the Skellam's distribution for the goal difference

  Citation: 91

  Authors: D., I.

• LP solvable models for portfolio optimization: a classification and computational comparison

  Citation: 88

  Authors: R.

• A new inverse DEA method for merging banks

  Citation: 83

  Authors: S., G. R., A.

• A review of the use of multicriteria and multi-objective models in maintenance and reliability

  Citation: 67

  Authors: A. T., R. J. P., C. A. V.

• A multivariate Markov chain model for categorical data sequences and its applications in demand predictions

  Citation: 66

  Authors: W.-K.

• Solving parallel machines scheduling problems with sequence-dependent setup times using variable neighbourhood search

  Citation: 65

  Authors: Mateus Rocha, Martín Gómez, Geraldo Robson, Panos M.

• Parameterizing correlations: a geometric interpretation

  Citation: 64

  Authors: Francesco, Damiano, Fabio

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