Open Systems and Information Dynamics - World Scientific | 2024 Impact Factor:1.6 | Cite Score:2.0 | Q2

Impact Factor and Journal Rank of Open Systems and Information Dynamics Journal

• About: Open Systems and Information Dynamics is a scholarly journal that focuses on interdisciplinary research at the intersection of information theory, complex systems, and open systems dynamics. It provides a platform for researchers to publish original research articles, reviews, and theoretical papers that advance our understanding of information dynamics in complex and open systems.
  
  Objective:
  The journal aims to explore the dynamics of information flow, emergence, and complexity in various systems, including biological, social, ecological, and technological systems. By fostering discussions and collaborations among researchers from different disciplines, it contributes to the development of theories and methodologies for analyzing and modeling complex phenomena.
  
  Interdisciplinary Approach:
  Open Systems and Information Dynamics adopts an interdisciplinary approach by integrating concepts and methods from information theory, statistical mechanics, network theory, and dynamical systems theory. This approach enables researchers to address fundamental questions about how information is processed, transmitted, and transformed within complex systems.
  
  Impact and Significance:
  The journals significance lies in its role in advancing knowledge in the fields of complex systems and information dynamics. By publishing rigorous scientific research, the journal contributes to practical applications in fields such as computational biology, social network analysis, information processing in artificial intelligence, and ecological modeling.

• Journal Home:  Journal Homepage

• Editor-in-Chief:  D. ChruÅ¡ciÅ„ski

• Scope: The Open Systems & Information Dynamics journal is a peer-reviewed publication that explores various aspects of open systems, complexity, and information dynamics. It covers interdisciplinary research at the intersection of physics, mathematics, computer science, biology, economics, and social sciences.
• Complex Systems:
  Research on complex adaptive systems and emergent behaviors.
  Studies on self-organization, chaos theory, and complex network dynamics.
• Information Dynamics:
  Advances in information theory, entropy, and information processing.
  Research on information dynamics in biological systems, social networks, and technological systems.
• Nonlinear Dynamics:
  Studies on nonlinear phenomena, including bifurcations, attractors, and phase transitions.
  Research on dynamical systems theory and its applications.
• Statistical Mechanics:
  Advances in statistical physics and its application to complex systems.
  Research on stochastic processes, phase transitions, and critical phenomena.
• Complex Networks:
  Studies on the structure, dynamics, and robustness of complex networks.
  Research on network theory, small-world networks, scale-free networks, and community detection.
• Information Theory:
  Advances in Shannons information theory and its extensions.
  Research on coding theory, communication theory, and information-theoretic methods in data science.
• Biological Systems:
  Studies on biological complexity, evolutionary dynamics, and ecological systems.
  Research on systems biology, population dynamics, and ecological networks.
• Economic Systems:
  Advances in economic complexity, agent-based modeling, and financial networks.
  Research on econophysics, market dynamics, and economic networks.
• Social Systems:
  Studies on social dynamics, opinion formation, and collective behavior.
  Research on social networks, influence dynamics, and computational social science.
• Computational Methods:
  Advances in computational methods for modeling and simulating complex systems.
  Research on numerical algorithms, simulation techniques, and computational approaches to complex phenomena.
• Interdisciplinary Applications:
  Applications of complex systems theory and information dynamics across disciplines.
  Case studies, empirical research, and theoretical contributions that integrate different fields of study.
• Latest Research Topics for PhD in Computer Science

• Print ISSN:  12301612

  Electronic ISSN:  15731324

• Abstracting and Indexing:  Scopus, SCience Citation Index Expanded

• Imapct Factor 2024:  1.6

• Subject Area and Category:   Chemical Engineering, Fluid Flow and Transfer Processes, Chemistry, Physical and Theoretical Chemistry, Computer Science, Information Systems, Engineering, Computational Mechanics, Mechanics of Materials, Mathematics, Mathematical Physics, Statistics and Probability, Physics and Astronomy, Statistical and Nonlinear Physics

• Publication Frequency:  

• H Index:  36

• Best Quartile:

  Q1:  

  Q2:  Computational Mechanics

  Q3:  

  Q4:  

• Cite Score:  2.0

• SNIP:  0.567

• Journal Rank(SJR):  0.533

• Latest Articles:   Latest Articles in Open Systems and Information Dynamics

• Guidelines for Authors: Open Systems and Information Dynamics Author Guidelines

• Paper Submissions: Paper Submissions in Open Systems and Information Dynamics

• Publisher:  World Scientific Publishing Co. Pte Ltd

  Country:  Singapore

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