International Journal of Forecasting

International Journal of Forecasting - ISSN 0169-2070
Source Normalized Impact per Paper (SNIP): 2.288 Source Normalized Impact per Paper (SNIP):
SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.
SCImago Journal Rank (SJR): 1.268 SCImago Journal Rank (SJR):
SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact.
Impact Factor: 3.779 (2020) Impact Factor:
The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years.
© 2017 Journal Citation Reports ® (Clarivate Analytics, 2017)
5 Year Impact Factor: 4.422 (2020) Five-Year Impact Factor:
To calculate the five year Impact Factor, citations are counted in 2016 to the previous five years and divided by the source items published in the previous five years.
© 2017 Journal Citation Reports ® (Clarivate Analytics, 2017)
Volumes: Volume 1
Issues: 4 issues
ISSN: 01692070
Editor-in-Chief: Pinson

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The International Journal of Forecasting is the leading journal in its field. It is the official publication of the International Institute of Forecasters (IIF) and shares its aims and scope. More information about the IIF may be found at

The International Journal of Forecasting publishes high quality refereed papers covering all aspects of forecasting. Its objective (and that of the IIF) is to unify the field, and to bridge the gap between theory and practice, making forecasting useful and relevant for decision and policy makers. The journal places strong emphasis on empirical studies, evaluation activities, implementation research and ways of improving the practice of forecasting. It is open to many points of view and encourages debate to find solutions for problems facing the field.

Topics covered in the International Journal of Forecasting:

Economic and econometric forecasting
Marketing forecasting
• New products forecasting
Financial forecasting
Production forecasting
Technological forecasting
• Forecasting applications in business, government, and the military
Demographic forecasting
Energy forecasting
Climate forecasting
Crime forecasting
• Seasonal adjustments and forecasting
Time series forecasting
• Legal and political aspects of forecasting
• Implementation of forecasting
• Judgmental/psychological aspects of forecasting
• Impact of forecast uncertainty on decision making
• Organizational aspects of forecasting
• Sport forecasting
• Machine Learning forecasting
• Forecasting methodology
• Election forecasting
• Big data forecasting

Features of the IJF include research papers, research notes, discussion articles, book reviews, editorials and letters.

Data and computer programs associated with articles published in the International Journal of Forecasting are provided as online supplements on ScienceDirect.


To ensure fairness and objectivity, double-blind reviewing will be used.

Replication studies

The IJF encourages replication studies, especially of highly cited papers. See Encouraging replication and reproducible research (an editorial published in 2010) for further information. A replication study that confirms that a published paper can be successfully replicated would normally be quite short (about a page is often sufficient to describe what calculations and comparisons have been done). Where a previously published paper has not been successfully replicated, more details are required to explain how the results differ from those previously published.