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Journal of Forecasting - Wiley-Blackwell | 2024 Impact Factor:2.7 | Cite Score:4.5 | Q1

Journal of Forecasting - Wiley-Blackwell

Impact Factor and Journal Rank of Journal of Forecasting

  • About: Journal of Forecasting is a leading academic journal dedicated to publishing high-quality research on forecasting. It serves as a platform for researchers, practitioners, and policymakers to share advancements in forecasting methodologies, applications, and practices across various domains.
  • Focus Areas: The journal covers a wide range of topics including: Time Series Analysis
    Econometric Models
    Business Forecasting
    Financial Market Forecasting
    Statistical Forecasting Methods
    Forecasting Accuracy and Evaluation
    Applications of Forecasting in Various Industries
    Forecasting Software and Tools
    Methodological Innovations in Forecasting
  • Publication Impact: Journal of Forecasting significantly contributes to the advancement of forecasting science by publishing original research, reviews, and case studies. The journal comprehensive coverage of forecasting methodologies and applications makes it a valuable resource for both academics and practitioners.
  • Peer Review Process: Articles published in the journal undergo a rigorous peer-review process to ensure high quality and relevance. This process helps maintain the journal standards and ensures that significant contributions to the field of forecasting are published.
  • Significance: By providing a platform for disseminating cutting-edge research and practical applications, Journal of Forecasting fosters innovation and collaboration in the field. The journal interdisciplinary approach encourages the development and application of robust forecasting techniques, supporting decision-making processes in various sectors.

  • Editor-in-Chief:  Derek W. Bunn

  • Scope: The Journal of Forecasting is a peer-reviewed publication that focuses on the theory and practice of forecasting. It serves as a platform for researchers, practitioners, and policymakers to publish their original research articles, reviews, and technical notes that advance the understanding and application of forecasting methods. Here is an overview of its key focus areas and scope:
  • 1. Forecasting Methods:
    Research on the development and improvement of forecasting techniques and models.
    Studies on time series analysis, econometric models, and statistical methods.
    Advances in machine learning and artificial intelligence for forecasting purposes.
  • 2. Applications of Forecasting:
    Exploration of forecasting applications in various domains, such as economics, finance, business, and the social sciences.
    Research on demand forecasting, financial market prediction, and macroeconomic forecasting.
    Case studies demonstrating the practical implementation and impact of forecasting methods.
  • 3. Evaluation of Forecasting Accuracy:
    Studies on methods for assessing and improving the accuracy of forecasts.
    Research on error measurement, model validation, and performance benchmarking.
    Advances in understanding and reducing forecast uncertainty.
  • 4. Technological Advances in Forecasting:
    Research on the use of new technologies and data sources for forecasting.
    Studies on big data analytics, cloud computing, and real-time data integration in forecasting.
    Advances in software tools and platforms for forecasting analysis and visualization.
  • 5. Behavioral Aspects of Forecasting:
    Exploration of the human factors influencing forecasting practices and outcomes.
    Research on judgmental forecasting, expert elicitation, and decision-making processes.
    Advances in understanding biases, heuristics, and cognitive aspects of forecasting.
  • 6. Policy and Strategic Implications:
    Studies on the role of forecasting in policy-making, strategic planning, and risk management.
    Research on the impact of forecasts on organizational and governmental decisions.
    Advances in integrating forecasting insights into policy development and strategic initiatives.
  • 7. Interdisciplinary Perspectives:
    Research at the intersection of forecasting with other disciplines, such as operations research, management science, and data science.
    Studies on interdisciplinary methodologies and applications in forecasting.
    Advances in collaborative forecasting approaches and cross-disciplinary research.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  02776693

    Electronic ISSN:  1099131X

  • Abstracting and Indexing:  Scopus, Science Citation Index Expanded

  • Imapct Factor 2024:  2.7

  • Subject Area and Category:   Business, Management and Accounting, Strategy and Management, Computer Science, Computer Science Applications, Decision Sciences, Management Science and Operations Research, Statistics, Probability and Uncertainty, Mathematics, Modeling and Simulation

  • Publication Frequency:  Monthly

  • H Index:  71

  • Best Quartile:

    Q1:  Modeling and Simulation

    Q2:  

    Q3:  

    Q4:  

  • Cite Score:  4.5

  • SNIP:  1.094

  • Journal Rank(SJR):  0.701