Journal of Forecasting

Aims & Scope

The Journal of Forecasting is an international journal that publishes refereed papers on forecasting.

It is multidisciplinary, welcoming papers dealing with any aspect of forecasting: theoretical, practical, computational and methodological.

A broad interpretation of the topic is taken with approaches from various subject areas, such as statistics, economics, psychology, systems engineering and social sciences, all encouraged.

Furthermore, the Journal welcomes a wide diversity of applications in such fields as business, government, technology and the environment.

Of particular interest are papers dealing with modelling issues and the relationship of forecasting systems to decision-making processes.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.7
2024	3.40

Journal Rank

Year	Value
2024	8082

Journal Citation Indicator

Year	Value
2024	989

SJR (SCImago Journal Rank)

Year	Value
2024	0.701

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	71

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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, Computer Science, 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.

• The accuracy of extrapolation (time series) methods: Results of a forecasting competition

  Citation: 1036

  Authors: S., A., R., R., M., R., J., E., R.

• Exponential smoothing: The state of the art

  Citation: 936

  Authors: Everette S.

• Improved methods of combining forecasts

  Citation: 871

  Authors: Clive W. J., Ramu

• Combination forecasts of output growth in a seven‐country data set

  Citation: 840

  Authors: James H., Mark W.

• Outliers, level shifts, and variance changes in time series

  Citation: 483

  Authors: Ruey S.

• Forecasting with panel data

  Citation: 454

  Authors: Badi H.

• Forecasting private consumption: survey-based indicators vs. Google trends

  Citation: 400

  Authors: Simeon, Torsten

• How probable is probable? A numerical translation of verbal probability expressions

  Citation: 283

  Authors: Ruth

• Invited review combining forecasts—twenty years later

  Citation: 265

  Authors: C. W. J.

• Some advances in non‐linear and adaptive modelling in time‐series

  Citation: 263

  Authors: George C., Ruey S.

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