SIAM JOURNAL ON SCIENTIFIC COMPUTING

Scope & Guideline

Exploring the Intersection of Science and Computing

Introduction

Delve into the academic richness of SIAM JOURNAL ON SCIENTIFIC COMPUTING with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN1064-8275
PublisherSIAM PUBLICATIONS
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 1996 to 2024
AbbreviationSIAM J SCI COMPUT / SIAM J. Sci. Comput.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address3600 UNIV CITY SCIENCE CENTER, PHILADELPHIA, PA 19104-2688

Aims and Scopes

The SIAM Journal on Scientific Computing focuses on advancing the field of computational mathematics through innovative research in algorithms, numerical methods, and their applications across various scientific domains.
  1. Numerical Algorithms and Methods:
    The journal emphasizes the development and analysis of numerical algorithms for solving mathematical problems arising in science and engineering. This includes methods for differential equations, optimization, and numerical linear algebra.
  2. Computational Modeling:
    Research related to the modeling of complex systems through computational techniques is a core focus. This encompasses applications in physics, biology, and engineering, where mathematical models are solved using numerical methods.
  3. Data-Driven Approaches:
    There is an increasing trend towards data-driven methodologies, including machine learning and statistical techniques, used to enhance computational models and solve inverse problems.
  4. Multiscale and Multidisciplinary Applications:
    The journal promotes interdisciplinary research that applies computational methods across various scales and domains, including fluid dynamics, materials science, and biomedical engineering.
  5. High-Performance Computing:
    Research that leverages high-performance computing architectures, including parallel algorithms and GPU computing, is a significant area of interest, reflecting the need for efficient computation in large-scale simulations.
The SIAM Journal on Scientific Computing has seen emerging trends that highlight the evolving nature of computational science, particularly in addressing complex and interdisciplinary problems.
  1. Machine Learning Integration:
    A significant trend is the integration of machine learning techniques into scientific computing, with methods that leverage data-driven approaches to improve numerical solutions and modeling accuracy.
  2. Physics-Informed Neural Networks:
    Research on physics-informed neural networks is gaining traction as a novel approach to solve PDEs and inverse problems, combining traditional numerical methods with deep learning.
  3. Adaptive and Multiscale Methods:
    There is an increasing focus on adaptive methods that dynamically adjust computational strategies based on solution behavior, as well as multiscale methods that address problems across different scales.
  4. Robustness and Uncertainty Quantification:
    Recent publications emphasize the importance of robustness in numerical methods and uncertainty quantification, particularly in applications where data is noisy or incomplete.
  5. High-Dimensional Problems:
    The journal is increasingly addressing high-dimensional problems through advanced techniques such as tensor decompositions and reduced-order modeling, reflecting the growing complexity of real-world applications.

Declining or Waning

While the journal has consistently evolved in its focus areas, certain themes have started to decline in prominence over recent years, reflecting shifts in research interests and technological advancements.
  1. Traditional Finite Element Methods:
    There has been a noticeable decline in publications focusing solely on traditional finite element methods without innovative enhancements. The field is moving towards more adaptive and hybrid approaches that integrate machine learning or data-driven techniques.
  2. Basic Optimization Techniques:
    Research centered on classical optimization methods without incorporating advanced techniques such as machine learning or adaptive algorithms is becoming less common, as researchers increasingly seek more sophisticated methods.
  3. Single-Domain Applications:
    There is a waning interest in studies that focus narrowly on single-domain applications. The trend is shifting towards multi-domain and interdisciplinary approaches that combine insights from various scientific fields.
  4. Simplistic Approaches to PDEs:
    Simplistic or overly theoretical approaches to partial differential equations (PDEs) are declining in favor of more practical, application-oriented research that demonstrates real-world relevance.

Similar Journals

INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS

Fostering Insightful Research in Mathematical Computing
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.

Mathematical Foundations of Computing

Empowering Research with Open Access to Mathematical Theories
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.

Bulletin of the South Ural State University Series-Mathematical Modelling Programming & Computer Software

Fostering Collaboration in Mathematical Modeling and Software Development
Publisher: SOUTH URAL STATE UNIV, SCIENTIFIC RESEARCH DEPTISSN: 2071-0216Frequency: 4 issues/year

The Bulletin of the South Ural State University Series-Mathematical Modelling Programming & Computer Software is a distinguished academic journal focusing on the interdisciplinary fields of mathematical modeling, programming, and software development. Published by the SOUTH URAL STATE UNIVERSITY, SCIENTIFIC RESEARCH DEPARTMENT, this journal serves as a platform for the dissemination of innovative research findings, methodologies, and applications in computational mathematics and related disciplines. With its ISSN 2071-0216 and E-ISSN 2308-0256, it has garnered attention within the research community, reflected in its rankings within the Q4 quartile across multiple categories in 2023, including Computational Mathematics and Software. Although it operates under an open access model, the journal emphasizes the importance of high-quality, peer-reviewed content to advance research education and practice in the Russian Federation and beyond. Researchers, professionals, and students are encouraged to contribute and access valuable insights, fostering collaboration among disciplines spanning mathematical theory, computational methods, and software development.

BIT NUMERICAL MATHEMATICS

Exploring the Depths of Computational Methods.
Publisher: SPRINGERISSN: 0006-3835Frequency: 4 issues/year

BIT Numerical Mathematics, published by Springer, is a prestigious journal in the field of Applied Mathematics and Computational Mathematics, with an ISSN of 0006-3835 and an E-ISSN of 1572-9125. Since its inception in 1961, the journal has become a cornerstone for researchers and practitioners alike, offering high-quality articles that advance the understanding and application of numerical methods in various domains. With its impressive 2023 rankings in the Q1 category for multiple disciplines—including Applied Mathematics, Computational Mathematics, Computer Networks and Communications, and Software—the journal consistently showcases significant contributions to the mathematical community. Although it does not offer Open Access, BIT Numerical Mathematics continues to reach a vast audience through its rigorous peer-reviewed content. As it converges towards 2024, the journal remains committed to publishing cutting-edge research that addresses fundamental challenges in numerical analysis and algorithm development, ensuring its relevance in an ever-evolving scientific landscape.

ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE

Catalyzing discoveries in the realm of mathematical software.
Publisher: ASSOC COMPUTING MACHINERYISSN: 0098-3500Frequency: 4 issues/year

Welcome to the ACM Transactions on Mathematical Software, a prestigious journal published by the Association for Computing Machinery (ACM). With an ISSN of 0098-3500 and an E-ISSN of 1557-7295, this journal has been at the forefront of innovation in the field since its inception in 1975. It serves as a critical platform for researchers, professionals, and students, facilitating the dissemination of advanced mathematical techniques and software developments. The journal is recognized for its outstanding impact, evidenced by its Q1 classification in Applied Mathematics and Q2 in Software for 2023, along with an impressive Scopus ranking placing it in the 85th percentile for Applied Mathematics and the 58th percentile for Computer Science. Our objective is to publish high-quality research that explores new methodologies in mathematical software and their applications, driving the field forward. Although not an open access journal, the relevance and rigor of the content ensure that it remains a valuable resource in mathematical and computational sciences. Join us in exploring the latest in mathematical software and contribute to shaping future advancements.

CCF Transactions on High Performance Computing

Catalyzing Innovation in Hardware and Software Systems
Publisher: SPRINGERNATUREISSN: 2524-4922Frequency: 4 issues/year

CCF Transactions on High Performance Computing, published by SPRINGERNATURE, is an esteemed academic journal dedicated to advancing research in the field of high-performance computing. With an ISSN of 2524-4922 and E-ISSN of 2524-4930, this journal provides a platform for disseminating innovative findings, methodologies, and technologies that shape computational practices within various domains. Operating from Germany, it serves a global audience, reinforcing its impact through an impressive categorization in the Q3 quartile across multiple fields, including Computer Science Applications and Information Systems. The journal, which covers research from 2019 to 2024, plays a crucial role in bridging gaps between theory and practical implementation in hardware architecture and software systems. Although it is not an open-access journal, its contributions are invaluable for researchers, professionals, and students invested in the continuous evolution of high-performance computing. With Scopus rankings that highlight its relevance and influence in the academic community, CCF Transactions on High Performance Computing remains a key resource for the latest developments in this dynamic and rapidly evolving discipline.

JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

Unleashing Potential in Computational Methodologies
Publisher: ELSEVIERISSN: 0377-0427Frequency: 24 issues/year

JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, published by Elsevier, stands as a premier platform for researchers and practitioners in the fields of applied and computational mathematics. With an impressive convergence history from 1975 to 2025, this journal has established itself as a crucial reference point for innovative mathematical theories, methodologies, and applications. Holding a distinguished position in Scopus rankings—#85 out of 635 in Applied Mathematics and #36 out of 189 in Computational Mathematics—it operates in the highly competitive Q2 quartile for both disciplines as of 2023. Although currently not designated as an open-access journal, it remains widely respected for its rigorous peer-review process and high-quality research contributions. Researchers and professionals seeking to advance their work and engage with cutting-edge developments will find this journal an invaluable resource, fostering a deeper understanding and collaboration within the mathematical community.

APPLIED MATHEMATICS AND COMPUTATION

Empowering Researchers Through Mathematical Insights
Publisher: ELSEVIER SCIENCE INCISSN: 0096-3003Frequency: 24 issues/year

Applied Mathematics and Computation is a premier journal dedicated to the dissemination of high-quality research in the field of applied mathematics and computational methods. Published by Elsevier Science Inc, this influential journal has established itself as a key resource for researchers, professionals, and students interested in mathematical modeling, numerical analysis, computational algorithms, and their applications across various disciplines. With an impressive impact factor reflecting its scholarly credibility, it holds a distinguished position in the Q1 quartile for both applied and computational mathematics as of 2023, ranking #31/635 and #12/189 in Scopus categories respectively, thereby indicating its significant impact on the academic community. The journal encompasses a broad spectrum of topics, encouraging original research, critical reviews, and innovative methodologies that address real-world challenges. Although it currently does not offer open access options, it remains a cornerstone publication for those at the forefront of mathematical research, continuously bridging theory with practical computation since its inception in 1975.

New Mathematics and Natural Computation

Exploring the Fusion of Mathematics and Nature's Logic
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.

Applications of Mathematics

Transforming Ideas into Mathematical Solutions
Publisher: SPRINGERNATUREISSN: 0862-7940Frequency: 6 issues/year

Applications of Mathematics, published by SpringerNature, is a respected journal based in the Netherlands that provides a platform for innovative research in the field of applied mathematics. Since its inception in 1997 and with a convergence ongoing until 2024, the journal supports the dissemination of high-quality scholarship, although it currently holds a Q4 category ranking in the applied mathematics category, which reflects its niche importance in the academic community. Researchers and professionals in the field can access a diverse array of applied mathematical techniques and their practical applications, contributing to advancements across various disciplines. While the journal does not operate under an open access model, it is indexed and ranked in Scopus, where it holds a rank of 419 out of 635, placing it in the 34th percentile. This underscores its value and relevance in the global research landscape.