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Economic Computation and Economic Cybernetics Studies and Research - Editura Academia de studii economice | 2024 Impact Factor:0.9 | Cite Score:2.0 | Q3

Economic Computation and Economic Cybernetics Studies and Research Journal With Cite Score

Cite Score and Journal Rank of Economic Computation and Economic Cybernetics Studies and Research

  • About: The Economic Computation and Economic Cybernetics Studies and Research journal publishes original research articles, technical papers, and reviews on topics related to economic computation and cybernetics. This includes areas such as economic modeling, computational economics, optimization in economic systems, decision support systems, and the application of cybernetic principles to economic problems. The journal aims to advance the understanding and application of computational and cybernetic methods in economic research and practice.
  • Objective
    The primary objective of the journal is to provide a platform for high-quality research and scholarly discussion on the use of computational and cybernetic methods in economics. It seeks to promote the development of innovative approaches, support the application of advanced computational techniques, and enhance the practical use of cybernetic principles in economic decision-making and analysis.
  • Interdisciplinary Approach
    Economic Computation and Economic Cybernetics Studies and Research adopts an interdisciplinary approach, recognizing that research in this field often intersects with areas such as computer science, systems theory, operations research, and econometrics. The journal encourages contributions that integrate these diverse perspectives to address complex economic challenges and develop comprehensive solutions.
  • Impact and Significance
    The journal has a significant impact on the economics and computational sciences communities by providing valuable insights and practical recommendations for researchers, practitioners, and policymakers. Its influence is reflected in its ability to shape research directions, drive advancements in computational and cybernetic methods for economics, and contribute to the development of more effective economic models and decision-making tools. Economic Computation and Economic Cybernetics Studies and Research plays a crucial role in advancing knowledge and practice in these specialized areas.

  • Editor-in-Chief:  Professor Gheorghe RUXANDA

  • Scope: The Economic Computation and Economic Cybernetics Studies and Research Journal focuses on the application of computational methods and cybernetic principles to economic problems. It serves as a platform for research and developments in economic computation and cybernetics.
  • Economic Computation:
    Research on computational methods used in economic analysis and modeling
    Innovations in algorithms, data analysis techniques, and computational tools for economics
    Case studies on the application of computational methods to economic problems and policy analysis
    Trends in economic computation and advancements in computational techniques
    Future directions for research in economic computation
  • Economic Cybernetics:
    Research on the application of cybernetic principles to economic systems
    Developments in modeling economic dynamics, feedback systems, and control mechanisms
    Case studies demonstrating the use of cybernetics in economic decision-making and policy formulation
    Trends in the integration of cybernetic approaches in economic research
    Future directions for advancing economic cybernetics research
  • Economic Modeling and Simulation:
    Research on economic modeling techniques and simulation methods
    Innovations in dynamic modeling, agent-based models, and econometric simulations
    Case studies on the use of simulation techniques for forecasting and policy evaluation
    Trends in the development and application of economic models and simulations
    Future directions for improving economic modeling and simulation techniques
  • Data Analysis and Management:
    Research on data analysis methods and management practices in economic research
    Developments in big data analytics, econometrics, and statistical techniques
    Case studies on effective data management and analysis practices in economics
    Trends in the use of data analytics in economic research and policy-making
    Future directions for enhancing data analysis and management in economics
  • Decision Support Systems:
    Research on decision support systems (DSS) in economics and finance
    Innovations in DSS design, implementation, and application in economic decision-making
    Case studies on the impact of DSS in economic planning, forecasting, and policy development
    Trends in the development and use of decision support systems
    Future directions for advancing DSS technologies in economics
  • Economic Forecasting:
    Research on forecasting techniques and methodologies for economic variables and trends
    Innovations in predictive modeling, time series analysis, and econometric forecasting
    Case studies on the application of forecasting methods to economic policy and business planning
    Trends in economic forecasting techniques and their applications
    Future directions for improving economic forecasting methods
  • Applications in Economics and Finance:
    Research on the application of computational and cybernetic methods to economics and finance
    Developments in areas such as financial modeling, risk analysis, and investment strategies
    Case studies on the practical application of research findings in economic and financial contexts
    Trends in the application of advanced computational methods in economics and finance
    Future directions for research and application in economic and financial domains
  • Educational and Professional Development:
    Research on educational strategies and professional development in economic computation and cybernetics
    Innovations in curriculum design, training programs, and certification for professionals
    Case studies on effective educational practices and their impact on the field
    Trends in the evolution of education and training in economic computation and cybernetics
    Future directions for enhancing educational and professional development opportunities
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  0424-267X

    Electronic ISSN:  1842-3264

  • Abstracting and Indexing:  Scopus

  • Imapct Factor 2024:  0.9

  • Subject Area and Category:  Computer Science, Computer Science Applications, Economics, Econometrics and Finance, Economics and Econometrics, Mathematics, Applied Mathematics

  • Publication Frequency:  

  • H Index:  24

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  Economics and Econometrics

    Q4:  

  • Cite Score:  2.0

  • SNIP:  0.377

  • Journal Rank(SJR):  0.269