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Research constituents, intellectual structure, and collaboration pattern in the Journal of Forecasting : A bibliometric analysis
Author(s) -
Baker H. Kent,
Kumar Satish,
Pattnaik Debidutta
Publication year - 2021
Publication title -
journal of forecasting
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.543
H-Index - 59
eISSN - 1099-131X
pISSN - 0277-6693
DOI - 10.1002/for.2731
Subject(s) - value (mathematics) , actuarial science , computer science , economics , machine learning
This study provides a retrospective of the Journal of Forecasting ( JoF ) between 1982 and 2019. Evidence shows a considerable increase in JoF's productivity and influence since 1982. For example, a JoF article, on average, receives more than 18 citations, and contributions from 65 nations appear in the journal. All articles have a forecasting implication, but JoF encourages a wide range of contexts recently featuring value‐at‐risk and financial econometrics. Factors with a positive association with JoF citations include the number of references, article length, article age, special issue, and number of authors.