Journal of Computational Science

Scope & Guideline

Empowering Innovation Through Computational Insights

Introduction

Immerse yourself in the scholarly insights of Journal of Computational Science with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN1877-7503
PublisherELSEVIER
Support Open AccessNo
CountryNetherlands
TypeJournal
Convergefrom 2010 to 2024
AbbreviationJ COMPUT SCI-NETH / J. Comput. Sci.
Frequency9 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS

Aims and Scopes

The Journal of Computational Science aims to publish high-quality research that addresses complex computational problems across various scientific domains. The journal emphasizes the development of innovative computational methodologies, algorithms, and frameworks that facilitate advancements in computational science and engineering. It serves as a platform for interdisciplinary collaboration, bringing together researchers from different fields to foster the application of computational techniques to real-world problems.
  1. Computational Methodologies:
    Focus on the development and application of new computational methodologies, including numerical methods, optimization algorithms, and simulation techniques that enhance problem-solving capabilities in various scientific fields.
  2. Interdisciplinary Applications:
    Encourages research that applies computational techniques to a wide range of disciplines such as physics, biology, engineering, and social sciences, promoting interdisciplinary collaboration and knowledge sharing.
  3. Data-Driven Approaches:
    Highlights the importance of data-driven methodologies, including machine learning and artificial intelligence, in enhancing computational models and simulations for predictive analytics and decision-making.
  4. Robustness and Efficiency:
    Emphasizes the development of robust and efficient algorithms that can handle large-scale datasets and complex systems, ensuring accuracy and reliability in computational outcomes.
  5. Real-World Problem Solving:
    Aims to bridge the gap between theoretical computational science and practical applications, addressing real-world challenges through innovative computational strategies.
The Journal of Computational Science has witnessed the emergence of several trending themes that reflect the current advancements and interests in computational methodologies and applications. These themes highlight the journal's responsiveness to the evolving needs of the scientific community and the integration of cutting-edge technologies.
  1. Machine Learning and AI Integration:
    There is a significant uptick in research that integrates machine learning and artificial intelligence into computational science, reflecting the growing importance of data-driven approaches in enhancing model accuracy and predictive capabilities.
  2. Hybrid Computational Models:
    Emergence of hybrid models that combine traditional numerical methods with machine learning techniques, offering innovative solutions to complex, real-world problems across various domains.
  3. Real-Time Data Processing:
    A trend towards the development of computational frameworks capable of processing and analyzing real-time data, particularly in fields like IoT, healthcare, and environmental monitoring.
  4. Complex Systems Simulation:
    Growing interest in the simulation of complex systems, including multi-agent systems and network dynamics, showcasing the need for advanced computational techniques to understand intricate interactions within systems.
  5. Sustainability and Environmental Modeling:
    An increasing focus on computational models that address sustainability challenges, including climate change and resource management, reflecting global research priorities and funding trends.

Declining or Waning

As the landscape of computational science evolves, certain themes and research areas have shown a noticeable decline in prominence within the journal's recent publications. This waning interest may reflect shifts in research priorities or the maturation of specific methodologies that have become less novel or impactful over time.
  1. Traditional Numerical Methods:
    There is a decreasing focus on classical numerical methods that have been well-established over the years, as researchers are increasingly looking for more innovative, hybrid, or machine learning-based approaches.
  2. Basic Statistical Techniques:
    The application of basic statistical techniques in computational studies appears to be waning, as more complex data analysis and machine learning methods become the norm for handling data-driven research.
  3. Single-Domain Focus:
    Research that focuses solely on a single domain without interdisciplinary collaboration is becoming less common, as the journal encourages more integrative approaches that combine insights from multiple fields.
  4. Static Models:
    The reliance on static models without considering dynamic changes or real-time data integration is declining, as there is a growing emphasis on adaptive and responsive computational frameworks.
  5. Standard Optimization Algorithms:
    Interest in traditional optimization algorithms is diminishing as researchers seek to explore more advanced, hybrid, and adaptive optimization techniques that better address the complexities of modern computational challenges.

Similar Journals

COMPUTATIONAL INTELLIGENCE

Exploring the Intersection of Technology and Mathematical Theory
Publisher: WILEYISSN: 0824-7935Frequency: 6 issues/year

COMPUTATIONAL INTELLIGENCE is a prestigious, peer-reviewed journal published by Wiley, dedicated to advancing the field of artificial intelligence and computational mathematics since its inception in 1985. With an impressive track record reflected in its Q2 ranking in both the Artificial Intelligence and Computational Mathematics categories for 2023, this journal is a leading resource for researchers, professionals, and students seeking to explore cutting-edge methodologies, theories, and applications that underpin computational intelligence. The journal is indexed in Scopus, holding a remarkable rank of 18/189 in Computational Mathematics, placing it in the top 10% of its field, and ranks 111/350 in Artificial Intelligence. Although it does not offer open access, articles are readily accessible for institutions, ensuring a wide outreach within the academic community. With its commitment to fostering innovation and critical thought, COMPUTATIONAL INTELLIGENCE continues to be an essential platform for disseminating high-quality research that shapes the future of technology and mathematics.

COMPUTERS & CHEMICAL ENGINEERING

Pioneering Research at the Nexus of Engineering and Technology
Publisher: PERGAMON-ELSEVIER SCIENCE LTDISSN: 0098-1354Frequency: 12 issues/year

Computers & Chemical Engineering, published by Pergamon-Elsevier Science Ltd, stands at the forefront of research at the intersection of chemical engineering and computer science. With an ISSN of 0098-1354 and an E-ISSN of 1873-4375, this esteemed journal has been a vital resource since its inception in 1977, with coverage extending to 2025. It is categorized as Q1 in Chemical Engineering (miscellaneous) and Q2 in Computer Science Applications for 2023, highlighting its significant impact within these fields. Notably, the journal boasts impressive Scopus ranks, placing it in the 84th and 82nd percentiles for Chemical Engineering and Computer Science Applications, respectively. A treasure trove for researchers, professionals, and students alike, Computers & Chemical Engineering focuses on the latest trends and innovations in computational techniques, algorithm development, and their applications to chemical processes, ensuring an avenue for groundbreaking findings and collaborative dialogues. While not an open-access publication, it remains a critical reference point for those seeking robust, peer-reviewed research in the rapidly evolving landscape of chemical engineering and computational methods.

Journal of Advanced Simulation in Science and Engineering

Connecting Academics and Practitioners in Simulation Technology
Publisher: JAPAN SOC SIMULATION TECHNOLOGY-JSSTISSN: 2188-5303Frequency:

Journal of Advanced Simulation in Science and Engineering, published by the Japan Society for Simulation Technology (JSST), stands as a pivotal platform in the dynamic field of simulation technology, focusing on cutting-edge research and applications in science and engineering. With the ISSN and E-ISSN of 2188-5303, this journal aims to disseminate high-quality research that drives innovation and enhances understanding among practitioners, academics, and students alike. As an essential resource for those engaged in simulation methodologies, it explores a wide range of topics, including but not limited to computational modeling, virtual simulations, and their applications across various engineering disciplines. The journal is indexed in prestigious databases, aiming for a strong impact factor that reflects its commitment to scholarly excellence and relevance. Its open access policy further facilitates wider dissemination and accessibility of research findings, thereby fostering greater collaboration and advancement in the field. Researchers and professionals are encouraged to contribute their findings and insights, establishing the Journal of Advanced Simulation in Science and Engineering as a leading authority in advancing simulation technologies for future applications.

Mathematical Foundations of Computing

Bridging Mathematics and Computing for a Digital Tomorrow
Publisher: AMER INST MATHEMATICAL SCIENCES-AIMSISSN: Frequency: 4 issues/year

Mathematical Foundations of Computing, published by the American Institute of Mathematical Sciences (AIMS), is a distinguished open-access journal that has been actively disseminating influential research in the fields of Artificial Intelligence, Computational Mathematics, Computational Theory and Mathematics, and Theoretical Computer Science since its inception in 2009. With its E-ISSN 2577-8838, this journal is committed to providing researchers and practitioners with cutting-edge mathematical theories and methodologies that underpin modern computational practices, which is critical for advancing the field. The journal proudly holds a Q3 categorization in several relevant domains as of 2023, reflecting its contribution and accessibility amid an evolving academic landscape. By offering open access to its content, it ensures that vital research is freely available to a global audience, enhancing collaboration and innovation. Positioned in the heart of the United States, Mathematical Foundations of Computing serves as a crucial resource for advancing knowledge and fostering discussions among researchers, professionals, and students passionate about the mathematical underpinnings of computing.

JOURNAL OF COMPUTATIONAL MATHEMATICS

Fostering Collaboration for Mathematical Excellence
Publisher: GLOBAL SCIENCE PRESSISSN: 0254-9409Frequency: 6 issues/year

JOURNAL OF COMPUTATIONAL MATHEMATICS, published by GLOBAL SCIENCE PRESS, is a distinguished peer-reviewed academic journal dedicated to advancing the field of computational mathematics. With a focus on high-quality research that bridges theoretical and practical applications, this journal aims to disseminate innovative methodologies and robust algorithms that address complex mathematical problems. Operating without an open-access model, it maintains a reputable standing with a Q2 category classification in computational mathematics as of 2023, showcasing its influence and relevance within the academic community. The journal, which has been in publication since 1996, continues to evolve, providing a platform for researchers, practitioners, and students to engage with cutting-edge developments up to 2024. By contributing to the body of knowledge in computational mathematics, this journal plays a vital role in fostering collaboration and advancement in related disciplines.

Genetic Programming and Evolvable Machines

Exploring the Intersection of Nature and Machine
Publisher: SPRINGERISSN: 1389-2576Frequency: 4 issues/year

Genetic Programming and Evolvable Machines, published by SPRINGER, is a leading journal dedicated to the fields of genetic algorithms, evolutionary computation, and machine learning. With an ISSN of 1389-2576 and an E-ISSN of 1573-7632, this esteemed journal encompasses original research articles, reviews, and applications that explore the intricate relationships between intelligent systems and evolutionary processes. As of 2023, it holds a notable Q2 ranking in various categories including Computer Science Applications and Hardware and Architecture, reflecting its significant impact in advancing knowledge and methodologies within these domains. The journal's metrics, including a top rank of #31/130 in Theoretical Computer Science, signify its relevance and contribution to the broader academic community. Though not open access, papers published in the journal continue to serve as critical resources for both researchers and practitioners, promoting innovative methodologies and solutions. Covering a broad scope with a convergence extending from 2003 to 2024, this journal remains a pivotal platform for sharing cutting-edge research that shapes the future of artificial intelligence and computational theory.

International Journal of Computing Science and Mathematics

Empowering Research in Computing Science and Mathematics
Publisher: INDERSCIENCE ENTERPRISES LTDISSN: 1752-5055Frequency: 6 issues/year

The International Journal of Computing Science and Mathematics, published by INDERSCIENCE ENTERPRISES LTD, is a pivotal platform for the dissemination of cutting-edge research in the intertwined disciplines of computing science and mathematics. With an ISSN of 1752-5055 and an E-ISSN of 1752-5063, the journal primarily serves the academic community engaged in applied mathematics, computational mathematics, theoretical computer science, and more, making significant contributions that resonate across various fields of technology and science. While the journal is currently categorized in the Q4 quartile for multiple related fields, including Applied Mathematics and Computational Theory, it continues to strive towards advancing the knowledge and practice within these areas. Spanning years from 2007 to 2010 and again from 2012 to 2024, the journal seeks to publish high-quality, peer-reviewed articles that not only address theoretical advancements but also explore practical applications of computing science in mathematical contexts, thereby fostering collaboration among researchers, professionals, and students alike. Please note that this journal is not available as Open Access, thus ensuring a curated content selection intended for dedicated research communities.

Applied Computational Intelligence and Soft Computing

Transforming Ideas into Intelligent Solutions
Publisher: HINDAWI LTDISSN: 1687-9724Frequency: 1 issue/year

Applied Computational Intelligence and Soft Computing, published by HINDAWI LTD, is a premier open access journal that has been disseminating critical research since 2009, focusing on the intersection of artificial intelligence and soft computing. With an impressive array of quartile rankings in 2023, including Q2 in Civil and Structural Engineering and Computational Mechanics, this journal has established itself as a significant contributor to the fields of computer science and engineering. Based in Egypt, it plays a vital role in advancing knowledge by providing researchers, professionals, and students with easy access to high-quality studies. The journal’s rigorous peer-review process ensures that only the most impactful research is highlighted, making it an essential resource for those looking to stay abreast of the latest innovations and methodological advancements in applied computational intelligence. Its Scopus rankings further affirm its influence and reputation within the academic community, exemplifying its commitment to facilitating collaboration and fostering intellectual discourse in various scientific domains.

NEW GENERATION COMPUTING

Advancing the Frontiers of Computing Knowledge
Publisher: SPRINGERISSN: 0288-3635Frequency: 4 issues/year

NEW GENERATION COMPUTING is a prominent academic journal published by SPRINGER, specializing in the dynamic fields of Computer Networks, Hardware and Architecture, Software Engineering, and Theoretical Computer Science. With a commitment to disseminating high-quality research since its inception in 1983 and extending its coverage to 2024, this journal occupies a vital role in advancing knowledge and innovation within these critical domains. Holding prestigious Q2 rankings in Computer Networks and Communications, Hardware and Architecture, and Software, as well as a Q3 ranking in Theoretical Computer Science for 2023, NEW GENERATION COMPUTING attracts significant contributions from scholars and professionals around the globe. Researchers will find its rigorous peer-review process ensures the publication of impactful studies, while students gain access to cutting-edge research that shapes contemporary computing practices. Though it does not offer open access, the journal remains an invaluable resource in the academic community, fostering collaboration and dialogue among experts aiming to push the boundaries of technology.

Computer Methods and Programs in Biomedicine

Exploring Cutting-Edge Methods in Biomedical Computing.
Publisher: ELSEVIER IRELAND LTDISSN: 0169-2607Frequency: 15 issues/year

Computer Methods and Programs in Biomedicine, published by ELSEVIER IRELAND LTD, is a leading journal at the intersection of computer science and biomedical research. With an impressive impact factor evidenced by its Q1 rankings in multiple categories—Computer Science Applications, Health Informatics, and Software—this journal ranks highly among peer publications, showcasing its significance in advancing interdisciplinary research. Covering a wide array of topics since its inception in 1985, it is particularly crucial for those invested in the innovation of computational methods applied to the biomedical field. The journal has established a strong reputation, with Scopus rankings placing it in the top percentiles across its relevant sectors, including the 14th position out of 138 in Health Informatics. Researchers, practitioners, and students looking to explore current trends, methodologies, and advancements in biomedical applications of computer science will find this journal an invaluable resource.