Journal of Computational Methods in Sciences and Engineering

Scope & Guideline

Championing Innovation in Engineering and Computational Methods

Introduction

Immerse yourself in the scholarly insights of Journal of Computational Methods in Sciences and Engineering 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
ISSN1472-7978
PublisherIOS PRESS
Support Open AccessNo
CountryNetherlands
TypeJournal
Convergefrom 2001 to 2024
AbbreviationJ COMPUT METHODS SCI / J. Comput. Methods Sci. Eng.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressNIEUWE HEMWEG 6B, 1013 BG AMSTERDAM, NETHERLANDS

Aims and Scopes

The Journal of Computational Methods in Sciences and Engineering focuses on the intersection of computational methods and their applications across various scientific and engineering disciplines. It aims to disseminate high-quality research that employs innovative computational techniques to solve complex problems in diverse fields.
  1. Computational Algorithms and Modeling:
    The journal emphasizes the development and application of computational algorithms, including optimization techniques, machine learning, and neural networks, to address real-world problems in engineering and sciences.
  2. Interdisciplinary Applications:
    Research published in the journal often spans multiple disciplines, showcasing how computational methods can be applied in fields such as environmental science, biomedical engineering, and materials science.
  3. Big Data and Analysis Techniques:
    A significant focus is placed on big data analytics, exploring how data-driven methods can enhance decision-making processes and improve outcomes in various sectors.
  4. Innovative Engineering Solutions:
    The journal highlights innovative engineering solutions that leverage computational methods, such as simulations, modeling, and advanced data processing techniques, to enhance efficiency and performance in engineering practices.
  5. Sustainability and Environmental Impact:
    Research concerning the sustainability of engineering practices and the environmental impact of various technologies is also a core area, reflecting the increasing importance of eco-friendly solutions.
The journal has recently identified several emerging themes that reflect current trends in computational methods and their applications. These areas are gaining traction and are likely to shape future research directions.
  1. Artificial Intelligence and Machine Learning:
    The application of AI and machine learning techniques is rapidly increasing, with researchers focusing on developing novel algorithms and their applications in various domains, including finance, healthcare, and smart systems.
  2. Internet of Things (IoT) Applications:
    Research exploring the integration of IoT technologies with computational methods is trending, highlighting the importance of real-time data collection and analysis in enhancing system performance.
  3. Sustainable Engineering Practices:
    There is a growing emphasis on sustainable engineering practices that utilize computational methods to minimize environmental impact, optimize resource usage, and achieve sustainability goals.
  4. Cybersecurity and Data Privacy:
    With the rise of digital technologies, themes surrounding cybersecurity, data protection, and privacy measures are emerging as critical areas of focus within the journal's publications.
  5. Blockchain and Distributed Ledger Technologies:
    The exploration of blockchain technologies and their applications in various fields, including supply chain management and financial services, is becoming a prominent area of research.

Declining or Waning

As the journal evolves, certain themes have shown a decline in prominence, reflecting shifts in research interests and technological advancements. The following areas have been less frequently addressed in recent publications.
  1. Traditional Engineering Methods:
    Traditional methods of engineering analysis and design, such as deterministic modeling without computational enhancement, appear to be waning as researchers increasingly adopt advanced computational techniques.
  2. Static Data Analysis:
    Research that relies solely on static data analysis without incorporating real-time data processing or machine learning techniques is becoming less common, as the field moves towards more dynamic and responsive analytical methods.
  3. Non-Computational Approaches:
    There is a noticeable decline in the publication of studies that do not employ computational methods, as the journal increasingly prioritizes contributions that integrate computational techniques with empirical research.

Similar Journals

CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES

Exploring the Intersection of Technology and Engineering
Publisher: TECH SCIENCE PRESSISSN: 1526-1492Frequency: 12 issues/year

CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES is a premier journal published by Tech Science Press, dedicated to advancing knowledge in the fields of computer science applications, modeling and simulation, and software engineering. With an impressive convergence of research from 2000 to 2024, this journal stands out as a vital resource for researchers, professionals, and students alike, fostering innovation and collaboration in computational methodologies. The journal currently holds a Q3 category ranking in multiple disciplines according to the latest metrics, including Scopus, which reflects its growing significance in the academic community. By providing a platform for high-quality research and open discourse, CMES aims to enhance the understanding of complex systems through effective modeling techniques and computational tools. Despite its current classification under open access, the journal remains a cornerstone for those looking to deepen their expertise in cutting-edge computational engineering and science.

INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS

Driving Progress in the World of Computer Mathematics
Publisher: TAYLOR & FRANCIS LTDISSN: 0020-7160Frequency: 12 issues/year

The International Journal of Computer Mathematics, published by Taylor & Francis Ltd, stands as a prominent forum for the dissemination of novel research in the intersection of mathematics and computing. Established in 1964, this journal has evolved significantly, contributing to the field with robust methodologies and innovative applications. It holds notable rankings within Scopus, classified as Q2 in Applied Mathematics and Q3 in both Computational Theory and Mathematics and Computer Science Applications for 2023, highlighting its pivotal role in advancing academic discourse. Though it is not an open-access journal, its rigorous peer-review process ensures that published articles maintain the highest scholarly standards, making it a reliable source for cutting-edge research. Researchers, professionals, and students alike will find valuable insights and advancements that push the boundaries of mathematical applications in computing, solidifying its importance within the mathematical and computer science communities.

NEW GENERATION COMPUTING

Exploring the Future of Technology and Networks
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.

New Mathematics and Natural Computation

Unlocking Insights in Applied Mathematics and Computational Theories
Publisher: WORLD SCIENTIFIC PUBL CO PTE LTDISSN: 1793-0057Frequency: 3 issues/year

New Mathematics and Natural Computation, published by World Scientific Publishing Co Pte Ltd, is a pivotal journal in the realms of applied mathematics and computational theories, catering to a diverse audience of researchers, professionals, and students. With an ISSN of 1793-0057 and E-ISSN 1793-7027, this journal serves as a critical platform for disseminating innovative research and methods that intertwine mathematical theories with natural computation processes. Operating from Singapore, it emphasizes accessibility and collaboration in advancing interdisciplinary knowledge, despite its current Q4 rankings across relevant categories such as Applied Mathematics and Human-Computer Interaction—highlighting the journal’s commitment to growth and improvement in a competitive publishing landscape. As a source of insightful findings and applications in mathematics and computer science, it invites contributors to explore the dynamic intersections between these fields and foster academic dialogue. Researchers aiming to engage with cutting-edge advancements will find this journal instrumental for their work from its inaugural issue in 2012 through its projected publications into 2024.

Wiley Interdisciplinary Reviews-Computational Statistics

Elevating Insights through Interdisciplinary Research
Publisher: WILEYISSN: 1939-0068Frequency: 6 issues/year

Wiley Interdisciplinary Reviews: Computational Statistics is a leading journal published by WILEY, renowned for its influential contributions to the field of statistics and its application in computational studies. With an impressive impact factor reflected in its 2023 categorization as Q1 in Statistics and Probability, this journal ranks among the top in its category, positioned at 20 out of 278 in Scopus, placing it in the 92nd percentile for its discipline. The journal spans from 2009 to 2024 and offers a rich repository of interdisciplinary insights that encompass both theoretical advancements and practical applications of computational statistics, making it an invaluable resource for researchers, professionals, and students alike. While it does not currently offer open access, the journal's commitment to high-quality, peer-reviewed content ensures that it remains a trusted source for cutting-edge developments and methodologies in the rapidly evolving realm of computational statistics.

JOURNAL OF COMPUTATIONAL MATHEMATICS

Pioneering High-Quality Research in Computational Mathematics
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.

Computation

Unlocking the potential of applied mathematics and computer science.
Publisher: MDPIISSN: Frequency: 12 issues/year

Computation, published by MDPI, is an esteemed open-access journal that has been contributing to the fields of applied mathematics and computer science since its inception in 2013. With an E-ISSN of 2079-3197, this Swiss-based journal operates under a philosophy of free knowledge dissemination, allowing researchers, professionals, and students globally to access high-quality content without financial barriers. Recognized for its rigorous peer-review process, Computation is currently categorized in the Q2 and Q3 quartiles across significant domains, including Applied Mathematics (#181/635), Theoretical Computer Science (#52/130), and Modeling and Simulation (#138/324). As it converges towards 2024, the journal continues to attract innovative and impactful research aimed at advancing theoretical frameworks and practical applications within these disciplines. Joining the Computation community not only enriches individual research portfolios but also contributes to the broader conversation on computational methodologies and their applications in solving real-world problems.

Journal of Algorithms & Computational Technology

Connecting Scholars to the Future of Computational Innovation
Publisher: SAGE PUBLICATIONS LTDISSN: 1748-3018Frequency: 4 issues/year

Journal of Algorithms & Computational Technology, published by SAGE PUBLICATIONS LTD, serves as a noteworthy platform for scholars and practitioners in the realms of applied mathematics, computational mathematics, and numerical analysis. With an ISSN of 1748-3018 and an E-ISSN of 1748-3026, this Open Access journal has been disseminating high-quality research since 2007, ensuring that significant advancements in algorithmic techniques and computational methodologies are readily accessible to the global academic community. Based in the United Kingdom, this journal has steadily established itself within specialized quartiles, notably achieving Q3 ranking in Computational Mathematics and Q4 in both Applied Mathematics and Numerical Analysis for 2023, reflecting its growing influence in these fields. As the journal converges from 2011 to 2024, it aims to cater to the needs of researchers, professionals, and students by publishing innovative research that not only addresses theoretical frameworks but also provides practical applications. By leveraging its open-access model, the Journal of Algorithms & Computational Technology fosters a collaborative environment where knowledge can flourish, allowing for the continuous evolution of algorithms that drive technological advancement.

Engineering Letters

Fostering Collaboration for Tomorrow's Engineering Challenges
Publisher: NEWSWOOD LTDISSN: 1816-093XFrequency: 4 issues/year

Engineering Letters, published by NEWSWOOD LTD, is a prominent journal in the field of engineering, focusing on innovative research and interdisciplinary studies that reflect the current trends and applications in the engineering landscape. With an ISSN of 1816-093X and an E-ISSN of 1816-0948, this open-access journal strives to provide a platform for researchers, professionals, and students to disseminate insights and findings that contribute to engineering knowledge. Based in Hong Kong, Engineering Letters has maintained a respectable standing with a 2023 Q3 quartile ranking in the miscellaneous category of engineering and ranks #142 out of 307 in general engineering according to Scopus, signifying its influence with a 53rd percentile ranking. The journal’s convergence years, spanning from 2009 to 2024, encapsulate an evolving landscape of engineering discussions and innovations, aimed at fostering collaborations and inspiring the next generation of engineers.

Computational and Mathematical Methods

Pioneering Research at the Intersection of Mathematics and Mechanics
Publisher: WILEY-HINDAWIISSN: Frequency: 1 issue/year

Computational and Mathematical Methods is a dynamic peer-reviewed journal published by Wiley-Hindawi, focusing on innovative research in the fields of computational mathematics, mechanics, and theory. Since its transition to an Open Access format in 2022, the journal has enhanced its accessibility to researchers and practitioners globally, providing a platform for the dissemination of high-quality studies that contribute to emerging developments in mathematical modeling and computational techniques. Based in the United Kingdom, this journal is committed to fostering collaboration amongst scholars, evidenced by its rankings within Scopus: Q3 in computational mathematics, computational mechanics, and computational theory and mathematics, reflecting its relevance and influence within these critical fields. With an emphasis on interdisciplinary studies, Computational and Mathematical Methods is an essential resource for researchers, professionals, and students seeking to expand their knowledge and apply cutting-edge methodologies to practical challenges.