Journal of Physics-Complexity

Scope & Guideline

Connecting Ideas, Inspiring Discoveries in Complexity Science

Introduction

Welcome to your portal for understanding Journal of Physics-Complexity, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN-
PublisherIOP Publishing Ltd
Support Open AccessNo
Country-
Type-
Converge-
AbbreviationJ PHYS-COMPLEXITY / J. Phys.-Complex.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressTEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND

Aims and Scopes

The Journal of Physics-Complexity focuses on the intricate behaviors and interactions within complex systems across various fields, employing a range of quantitative methods and theoretical frameworks. The journal aims to provide a platform for innovative research that sheds light on the underlying principles governing complex phenomena.
  1. Complex Networks and Graph Theory:
    Research on the structure and dynamics of complex networks, utilizing graph theory to understand connectivity, community detection, and network robustness.
  2. Statistical Physics in Complex Systems:
    Application of statistical physics principles to study emergent behaviors in complex systems, including phase transitions and critical phenomena.
  3. Dynamical Systems and Chaos:
    Investigation of chaotic dynamics, bifurcations, and stability in various systems, with a focus on understanding transient behaviors and synchronization.
  4. Modeling and Simulation Techniques:
    Development of new modeling approaches, including agent-based models and computational simulations, to explore complex interactions in socio-economic, ecological, and technological systems.
  5. Interdisciplinary Applications:
    Integration of concepts from physics, biology, social sciences, and economics to address complex challenges, demonstrating the journal's commitment to cross-disciplinary research.
  6. Machine Learning and Data Science:
    Utilization of machine learning techniques to analyze complex datasets, enhance predictive modeling, and improve understanding of complex interactions.
The Journal of Physics-Complexity has been at the forefront of exploring new and innovative themes that reflect the current interests and advancements in the field of complex systems. This section highlights recent trends and emerging topics that are gaining traction within the journal.
  1. Complex Adaptive Systems:
    Research increasingly focuses on complex adaptive systems, exploring how agents interact and adapt within dynamic environments, which is crucial for understanding ecological and social phenomena.
  2. Resilience and Robustness in Networks:
    There is a growing emphasis on studying resilience and robustness in complex networks, particularly in response to external perturbations and failures, which is vital for infrastructure and ecological sustainability.
  3. Epidemiological Modeling:
    The journal has seen a surge in studies related to epidemiological modeling, especially in light of global health challenges, demonstrating the relevance of complex systems theory in understanding disease dynamics.
  4. Data-Driven Approaches:
    Emerging themes include the application of data-driven methods, such as machine learning and AI, to uncover patterns and insights in complex systems, enhancing predictive capabilities and understanding.
  5. Interconnected Systems and Globalization:
    Research focusing on the interconnectedness of global systems, including economic and environmental networks, is trending, reflecting the complexities of globalization and its impacts.

Declining or Waning

As the Journal of Physics-Complexity evolves, certain areas of research appear to be diminishing in prominence. This section identifies themes that have seen a decline in publication frequency or relevance within the journal's recent issues.
  1. Traditional Linear Models:
    There has been a noticeable decline in research focused on traditional linear modeling approaches as the journal increasingly emphasizes non-linear dynamics and complex interactions.
  2. Basic Statistical Analysis:
    Research that relies solely on basic statistical methods without incorporating complex system dynamics or network structures has become less frequent, reflecting a shift towards more sophisticated analytical techniques.
  3. Single-Disciplinary Studies:
    Papers focusing exclusively on a single discipline without interdisciplinary connections have waned, indicating a trend towards integrating multiple fields to address complex problems.
  4. Static Network Models:
    Research centered on static representations of networks is declining, with a growing emphasis on dynamic and evolving network structures that better represent real-world complexities.
  5. Overly Simplistic Agent-Based Models:
    Simplistic agent-based models that do not account for significant interactions or complexities are becoming less favored, as the journal seeks more nuanced and detailed modeling frameworks.

Similar Journals

JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT

Exploring the Intersection of Theory and Experimentation
Publisher: IOP Publishing LtdISSN: 1742-5468Frequency: 12 issues/year

JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT is a prominent academic journal published by IOP Publishing Ltd in the United Kingdom, focusing on the interdisciplinary realms of statistical mechanics and its applications across both theory and experimental research. Since its inception in 2004, the journal has consistently served as a crucial platform for researchers and professionals in statistical and nonlinear physics, as well as statistics and probability. With its strong Scopus ranking in the 87th percentile for Mathematics and 78th percentile in Physics and Astronomy, JOURNAL OF STATISTICAL MECHANICS provides high-impact content that promotes innovative research and the latest advancements in the field. Although currently not an open-access journal, it supports a wide readership through its strategic focus on rigorous peer-reviewed studies. Researchers, professionals, and students pursuing excellence in statistical mechanics will find this journal an invaluable resource for the dissemination of impactful findings and theoretical explorations.

JOURNAL OF COMPUTER AND SYSTEMS SCIENCES INTERNATIONAL

Pioneering Insights in Computer and Systems Sciences
Publisher: PLEIADES PUBLISHING INCISSN: 1064-2307Frequency: 6 issues/year

JOURNAL OF COMPUTER AND SYSTEMS SCIENCES INTERNATIONAL, published by PLEIADES PUBLISHING INC, serves as a vital platform in the fields of Applied Mathematics, Computer Networks and Communications, Computer Vision and Pattern Recognition, Control and Systems Engineering, Information Systems, and Software among others. Established in 1993, the journal offers insights into both theoretical and practical advancements within these disciplines, continuously evolving through to 2024. Its current impact is reflected in its Q3 rankings across multiple categories in 2023 and Scopus rankings that position it within the 15th to 33rd percentiles, showcasing its relevance within the academic community. While not an Open Access journal, it maintains accessibility through institutional subscriptions, ensuring that researchers and professionals can engage with high-quality content. The journal is instrumental for those looking to deepen their understanding and contribute to ongoing discourse in computer science and systems sciences, making it an essential resource for students, researchers, and industry practitioners alike.

COMPUTER PHYSICS COMMUNICATIONS

Illuminating Paths in Computer Physics Research
Publisher: ELSEVIERISSN: 0010-4655Frequency: 12 issues/year

COMPUTER PHYSICS COMMUNICATIONS is a premier journal published by Elsevier, renowned for its contributions to the fields of computer science and physics. With an ISSN of 0010-4655 and an E-ISSN of 1879-2944, this journal has established itself over the decades, beginning its journey in 1969 and running through 2025, fostering innovative research and discussions. Recognized for its high impact, it sits in the Q1 quartile for both Hardware and Architecture as well as for miscellaneous Physics and Astronomy, underscoring its significance in the academic community. The journal's Scopus rankings further reflect its prestige, with a rank of #12 out of 177 in Computer Science and #18 out of 243 in Physics and Astronomy, placing it in the top percentiles of its field. Although it does not currently offer Open Access options, COMPUTER PHYSICS COMMUNICATIONS remains a vital resource for researchers, professionals, and students seeking to advance their knowledge and contribute to the ongoing dialogue in computer physics and its myriad applications.

INTERNATIONAL JOURNAL OF MODERN PHYSICS C

Exploring the Depths of Modern Theoretical Concepts
Publisher: WORLD SCIENTIFIC PUBL CO PTE LTDISSN: 0129-1831Frequency: 12 issues/year

INTERNATIONAL JOURNAL OF MODERN PHYSICS C, published by WORLD SCIENTIFIC PUBL CO PTE LTD, is a pivotal platform for disseminating groundbreaking research in the fields of computational theory, mathematical physics, and statistical physics. With an ISSN of 0129-1831 and an E-ISSN of 1793-6586, this esteemed journal, based in Singapore, serves a global audience of researchers and professionals who are dedicated to pushing the boundaries of knowledge in modern physics. The journal's rigorous selection process ensures the inclusion of high-quality articles that advance the understanding and application of complex theoretical concepts. Currently, the journal holds a commendable Q3 quartile ranking across several categories, including Computational Theory and Mathematics and Statistical and Nonlinear Physics, reflecting its influence and relevance in the academic community. Covering a wide array of topics from 1996 to 2024, the INTERNATIONAL JOURNAL OF MODERN PHYSICS C is not just a repository of research; it is a critical resource for students and scholars aiming to stay at the forefront of modern scientific inquiry.

Journal of Computational Science

Fostering Interdisciplinary Dialogue in Computational Research
Publisher: ELSEVIERISSN: 1877-7503Frequency: 9 issues/year

The Journal of Computational Science, published by Elsevier, is a premier academic journal that serves as a vital platform for researchers and professionals in the fields of computer science, modeling, and simulation. With an ISSN of 1877-7503 and an E-ISSN of 1877-7511, this journal focuses on the latest advances in computational methodologies and their applications, fostering interdisciplinary dialogue and collaboration. As of 2023, it holds an impressive Q2 ranking in multiple categories, including Computer Science (miscellaneous), Modeling and Simulation, and Theoretical Computer Science, showcasing its relevance and impact within the scholarly community. The journal features comprehensive research articles, reviews, and case studies that contribute significantly to the understanding and development of computational techniques. With its high standing in Scopus rankings, including a 79th percentile ranking in Mathematics - Modeling and Simulation, the Journal of Computational Science is an essential resource for anyone seeking to advance their knowledge and research in this dynamic field.

Networks and Heterogeneous Media

Unraveling the Dynamics of Networks and Media
Publisher: AMER INST MATHEMATICAL SCIENCES-AIMSISSN: 1556-1801Frequency: 4 issues/year

Networks and Heterogeneous Media is a distinguished journal published by the American Institute of Mathematical Sciences (AIMS), focusing on the dynamic interplay of networks across various interdisciplinary fields including applied mathematics, computer science, and engineering. With a diverse and robust scope, the journal aims to facilitate the advancement of knowledge regarding complex systems and heterogeneous media through the publication of cutting-edge research. The journal has exhibited notable academic impact, currently positioned in Q2 and Q3 quartiles across several key categories such as applied mathematics, engineering, and statistics, indicating its relevance and influence within the scientific community. Researchers and professionals exploring intricate mathematical models, computational applications, and statistical methodologies will find Networks and Heterogeneous Media an invaluable resource for both foundational studies and innovative applications. The journal regularly publishes high-quality articles, contributing to emerging discussions and developments in a rapidly evolving field.

Journal of Systems Science & Complexity

Illuminating the Dynamics of Complexity in Technology and Beyond.
Publisher: SPRINGER HEIDELBERGISSN: 1009-6124Frequency: 6 issues/year

The Journal of Systems Science & Complexity, published by SPRINGER HEIDELBERG, stands as a leading forum for innovative research in the fields of computer science and information systems. With an ISSN of 1009-6124 and an E-ISSN of 1559-7067, this journal has established itself within the academic community, garnering a commendable impact factor that reflects its influential contributions. Operating from 2006 and continuing through 2024, it is categorized in the Q2 quartile for both Computer Science (Miscellaneous) and Information Systems, indicating its quality and relevance. Recognized within Scopus rankings, it places 52nd out of 133 in its specific field, affirming its significance in advancing systems science discussions. Researchers and professionals will find a wealth of knowledge through rigorous peer-reviewed articles that explore complex systems and their applications, enabling readers to stay at the forefront of technological advancements and interdisciplinary collaboration.

Complex Systems

Advancing Knowledge in Complex Systems Science
Publisher: COMPLEX SYSTEMS PUBLICATIONS INCISSN: 0891-2513Frequency: 4 issues/year

Complex Systems is a pivotal journal published by Complex Systems Publications Inc, specializing in the interdisciplinary field of complex systems science. With an ISSN of 0891-2513, it focuses on advancing the understanding of complex phenomena across various domains, including computer science and control engineering. Operating from the United States, this journal has established itself as a credible source with a current impact factor reflecting its relevance—ranking in the Q3 category for both Computer Science (miscellaneous) and Control and Systems Engineering as of 2023. Although it does not offer Open Access, Complex Systems aims to facilitate the exchange of cutting-edge research and innovative methodologies, making it indispensable for researchers, professionals, and students eager to explore and contribute to the field. With coverage spanning from 2012 to 2024, it strives to foster a deeper understanding of the principles governing complex systems, thus paving the way for future technological advancements and theoretical developments.

JOURNAL OF STATISTICAL PHYSICS

Exploring the intricate dance of statistics and physics.
Publisher: SPRINGERISSN: 0022-4715Frequency: 1 issue/year

The Journal of Statistical Physics, published by Springer, is a premier academic journal that has made significant contributions to the fields of Mathematical Physics and Statistical and Nonlinear Physics since its inception in 1969. With a strong reputation reflected in its 2023 rankings—placing it in Q2 of both categories and achieving an impressive Scopus rank of #22 in Mathematical Physics and #25 in Statistical and Nonlinear Physics—this journal serves as a vital platform for researchers, professionals, and students. The impact factor of the journal underscores its importance in disseminating cutting-edge research and theoretical developments. Authors are invited to submit original research articles that explore the intricate complexities of statistical mechanics, quantum physics, and related disciplines, fostering deep insights and academic discourse. Although the journal does not currently offer open access, its robust editorial standards and commitment to advancing knowledge make it an essential resource for those engaged in these dynamic fields.

Big Data Mining and Analytics

Navigating the Landscape of Big Data Science
Publisher: TSINGHUA UNIV PRESSISSN: Frequency: 4 issues/year

Big Data Mining and Analytics, published by TSINGHUA UNIVERSITY PRESS, stands at the forefront of interdisciplinary research in the fields of Artificial Intelligence, Computer Networks and Communications, Computer Science Applications, and Information Systems. With an impressive Q1 ranking in multiple categories as of 2023, this journal serves as a critical platform for researchers and professionals eager to explore innovative techniques and methodologies related to big data analytics. Since its transition to Open Access in 2018, Big Data Mining and Analytics has aimed to increase the visibility and accessibility of its cutting-edge research, making permanent strides in the global academic landscape. Housed in Beijing, China, and actively embracing the converged years from 2018 to 2024, the journal aims to cultivate a rich discourse on emerging trends and applications, ensuring its relevance in a rapidly evolving technological environment. Join a vibrant community of scholars dedicated to advancing the frontiers of knowledge in big data.