The Journal of Forecasting publishes research on time series analysis and prediction across various domains. Articles focus on developing and evaluating forecasting models, including machine learning, deep learning, and ensemble methods, for applications such as energy management, pandemic dynamics, carbon allowance prices, financial markets, and economic indicators. The journal also explores volatility forecasting, risk management, and the integration of economic theory with statistical models.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Modeling and SimulationQ1
Computer Science ApplicationsQ2
Economics and EconometricsQ2
Management Science and Operations ResearchQ2
Statistics, Probability and UncertaintyQ2
Strategy and ManagementQ2
Subject Classification
Web of Science Categories
EconomicsManagement
Scopus Categories
Statistics, Probability and UncertaintyComputer Science ApplicationsStrategy and ManagementManagement Science and Operations ResearchEconomics and EconometricsModeling and Simulation
Research Topics (OpenAlex)
Monetary Policy and Economic ImpactForecasting Techniques and ApplicationsMarket Dynamics and VolatilityFinancial Risk and Volatility ModelingStock Market Forecasting Methods