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

Scope & Guideline

Innovating Mathematical Insights for Tomorrow's Software

Introduction

Welcome to your portal for understanding Bulletin of the South Ural State University Series-Mathematical Modelling Programming & Computer Software, 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.
LanguageRussian
ISSN2071-0216
PublisherSOUTH URAL STATE UNIV, SCIENTIFIC RESEARCH DEPT
Support Open AccessNo
CountryRussian Federation
TypeJournal
Convergefrom 2014 to 2024
AbbreviationBULL SOUTH URAL STAT / Bull. South Ural State U. Ser.-Math Model Program Comput.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address76, LENIN PROSPECT, CHELYABINSK 454080, RUSSIA

Aims and Scopes

The Bulletin of the South Ural State University Series-Mathematical Modelling Programming & Computer Software focuses on advancing the understanding and application of mathematical modeling, programming, and computer software across various scientific and engineering disciplines. The journal serves as a platform for innovative research that combines theoretical insights with practical applications, emphasizing numerical methods, optimization techniques, and computational algorithms.
  1. Mathematical Modelling:
    The journal emphasizes the development and application of mathematical models to describe complex systems in various fields such as physics, engineering, biology, and economics.
  2. Numerical Analysis and Computational Methods:
    A core focus on numerical methods, algorithms, and computational techniques for solving differential equations, optimization problems, and simulations of dynamic systems.
  3. Optimization Techniques:
    Research on optimization strategies, including linear and nonlinear programming, parametric optimization, and heuristic methods, is prominently featured.
  4. Stochastic Processes and Control Theory:
    Investigation of stochastic models and control systems, addressing uncertainty and randomness in mathematical frameworks.
  5. Software Development and Applications:
    The journal includes papers on the design, implementation, and application of software tools and environments for mathematical modeling and computational experiments.
  6. Interdisciplinary Research:
    Encouraging interdisciplinary approaches that integrate mathematics with computer science, engineering, and physical sciences to address real-world challenges.
Recent years have seen the emergence of several key themes within the journal, reflecting the evolving landscape of mathematical modeling and computational research. These trending scopes highlight areas of increasing interest and relevance in both academic and applied contexts.
  1. Machine Learning and AI in Modeling:
    An increasing number of papers are integrating machine learning techniques with mathematical modeling, emphasizing data-driven approaches to problem-solving.
  2. Inverse Problems and Parameter Estimation:
    Research focusing on inverse problems, particularly in the context of parameter estimation in complex models, has gained prominence due to its applications in various scientific fields.
  3. Complex Systems and Nonlinear Dynamics:
    There is a growing interest in modeling complex systems that exhibit nonlinear dynamics, reflecting the need for advanced analytical and numerical techniques.
  4. Environmental and Ecological Modeling:
    Papers addressing environmental issues, such as ecological modeling and climate change impacts, are becoming more prevalent, indicating a trend towards applied mathematics in sustainability.
  5. Neural Networks and Computational Intelligence:
    The application of neural networks and other computational intelligence methods is emerging as a significant trend, particularly in areas like image processing and signal analysis.
  6. Hybrid Computational Methods:
    Research combining different computational methods, such as deterministic and stochastic approaches, is on the rise, showcasing the need for versatile solutions in complex problem domains.

Declining or Waning

While the journal has maintained a strong focus on various mathematical and computational themes, certain areas have shown signs of reduced emphasis in recent publications. These waning scopes reflect shifts in research interest and methodological advancements.
  1. Classical Analytical Methods:
    There has been a noticeable decline in papers focusing on purely analytical approaches to problem-solving, as the trend shifts towards numerical and computational methods.
  2. Traditional Optimization Techniques:
    Older optimization techniques that are not integrated with modern computational algorithms are appearing less frequently, indicating a preference for more advanced, hybrid approaches.
  3. Basic Theoretical Studies:
    The journal has seen fewer submissions that focus solely on theoretical explorations without practical applications or computational implementations.
  4. Static Models in Favor of Dynamic Simulation:
    Research centered on static or equilibrium models is decreasing, as dynamic modeling and simulation of systems gain more traction.
  5. Single-Domain Applications:
    There is a waning interest in papers that focus exclusively on applications within a single discipline, with a clear shift towards interdisciplinary studies.

Similar Journals

Trudy Instituta Matematiki i Mekhaniki UrO RAN

Advancing the Frontiers of Mathematics and Mechanics
Publisher: KRASOVSKII INST MATHEMATICS & MECHANICS URAL BRANCH RUSSIAN ACAD SCIENCESISSN: 0134-4889Frequency: 4 issues/year

Trudy Instituta Matematiki i Mekhaniki UrO RAN, a prestigious journal published by the KRASOVSKII INST MATHEMATICS & MECHANICS URAL BRANCH RUSSIAN ACAD SCIENCES, serves as a vital platform for the dissemination of research in the diverse fields of applied mathematics, computational mechanics, and computer science applications. With a dedicated focus on advancing theoretical and practical applications within these disciplines, the journal emphasizes innovative methodologies and novel concepts that are crucial in an era where mathematical techniques are increasingly intertwined with emerging technologies. Although currently not an open-access publication, the journal caters to a niche yet expansive audience of researchers, academics, and professionals, providing insights into current trends and breakthroughs. Notably, it holds a commendable position in various quartiles — Q3 in Applied Mathematics and Q2 in Computational Mechanics as of 2023, reflecting its growing influence within the scientific community. While its Scopus rankings indicate a competitive landscape, this journal continues to be a significant resource for scholarly discourse, making substantial contributions to the body of knowledge for its readers based in the Russian Federation and beyond.

CSIAM Transactions on Applied Mathematics

Fostering Interdisciplinary Collaboration in Mathematics
Publisher: GLOBAL SCIENCE PRESSISSN: 2708-0560Frequency: 4 issues/year

CSIAM Transactions on Applied Mathematics is a prestigious academic journal published by GLOBAL SCIENCE PRESS, specializing in the rapidly evolving field of applied mathematics. Established in 2020 and operating in Hong Kong, this journal has quickly gained recognition for its rigorous peer-reviewed articles and contributions that integrate theoretical frameworks with practical applications. With an impressive ranking of #261 out of 635 in the Scopus database, and a 2023 quartile ranking of Q2 in Applied Mathematics, it is positioned to be a vital resource for researchers, professionals, and students alike. The journal offers a platform for innovative research that is essential for addressing contemporary challenges in science and engineering, promoting interdisciplinary collaboration and knowledge exchange. Although currently not Open Access, it provides invaluable insights through its curated content, truly reinforcing its role as a cornerstone in the field of applied mathematics.

Numerical Analysis and Applications

Fostering interdisciplinary collaboration in mathematical sciences.
Publisher: SIBERIAN BRANCH RUSSIAN ACAD SCIENCESISSN: 1995-4239Frequency: 4 issues/year

Numerical Analysis and Applications is a prominent journal dedicated to advancing the field of numerical analysis, published by the Siberian Branch of the Russian Academy of Sciences. Established in 2009, and running through to 2024, this scholarly publication serves as a vital resource for researchers, professionals, and students involved in the mathematical sciences. The journal’s impact is underscored by its classification in the Q3 quartile for numerical analysis within the latest metrics, reflecting its significance in the academic community, although it presently ranks 74 out of 88 in the numerical analysis category, representing a 16th percentile. With a broad scope that encompasses innovative methodologies and applications in numerical techniques, the journal aims to foster interdisciplinary collaboration and share pivotal advancements in numerical theory and practice. Access options may vary, thus offering opportunities for both traditional and contemporary researchers to engage with cutting-edge content that is crucial for driving forward the computational sciences.

APPLIED MATHEMATICS AND COMPUTATION

Bridging Theory and Practice in Computational Research
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.

JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS

Transforming Ideas into Mathematical Solutions
Publisher: SPRINGER JAPAN KKISSN: 0916-7005Frequency: 3 issues/year

The Japan Journal of Industrial and Applied Mathematics, published by Springer Japan KK, is a pivotal platform for disseminating cutting-edge research in the fields of applied mathematics and engineering. With an ISSN of 0916-7005 and an E-ISSN of 1868-937X, this journal has been a cornerstone in the academic community since its inception in 1991 and will continue to contribute pivotal insights through 2024. Positioned in the Q3 category for both Applied Mathematics and Miscellaneous Engineering according to 2023 rankings, it is recognized for its diverse range of topics and interdisciplinary approaches. Despite its competitive ranking, the journal fosters valuable contributions that challenge conventional methodologies and inspire innovation. Researchers, professionals, and students alike will find the journal’s contents invaluable for advancing knowledge and exploring new methodologies in industrial and applied mathematics.

IMA JOURNAL OF NUMERICAL ANALYSIS

Catalyzing Collaboration in Numerical Innovation
Publisher: OXFORD UNIV PRESSISSN: 0272-4979Frequency: 4 issues/year

IMA Journal of Numerical Analysis, published by Oxford University Press, stands as a premier platform for cutting-edge research in the field of numerical analysis, exemplifying the latest advancements and methodologies in applied, computational, and general mathematics. Since its inception in 1981, this esteemed journal has continually contributed to the academic community by publishing high-quality, peer-reviewed articles that foster innovation and collaboration among researchers. With an impressive Q1 ranking across multiple categories, including Applied Mathematics and Computational Mathematics, it plays a crucial role in disseminating knowledge, as indicated by its Scopus rankings which place it in the top 25% of journals within its field. Although the journal is not open access, it remains a vital resource for academics, professionals, and students eager to engage with the ongoing evolution of numerical methods. By serving as a conduit for novel ideas and rigorous research, the IMA Journal of Numerical Analysis ensures that its contributors and readers are at the forefront of this dynamic discipline.

Applied and Computational Mathematics

Advancing the Frontiers of Applied and Computational Mathematics
Publisher: MINISTRY COMMUNICATIONS & HIGH TECHNOLOGIES REPUBLIC AZERBAIJANISSN: 1683-3511Frequency: 3 issues/year

Applied and Computational Mathematics is a premier journal dedicated to the dissemination of innovative research in the fields of applied mathematics and computational mathematics. Published by the MINISTRY COMMUNICATIONS & HIGH TECHNOLOGIES REPUBLIC AZERBAIJAN, this journal offers a prominent platform for scholars and practitioners worldwide, boasting an impressive Q1 category ranking in applied mathematics and Q2 in computational mathematics for 2023. With an excellent Scopus ranking placing it in the 96th percentile for both categories, it highlights the high quality and global impact of its published work. The journal spans a wide range of topics, ensuring it remains relevant to current and emerging trends in both theoretical and applied contexts. Access to its articles is streamlined through open channels, promoting collaboration and knowledge sharing among researchers. Applied and Computational Mathematics is pivotal for advancing the discipline and supporting the academic community's growth, making it an essential resource for researchers, professionals, and students alike.

CCF Transactions on High Performance Computing

Innovating Tomorrow's Computational Solutions Today
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.

SIAM JOURNAL ON SCIENTIFIC COMPUTING

Empowering Research Through Rigorous Peer Review
Publisher: SIAM PUBLICATIONSISSN: 1064-8275Frequency: 6 issues/year

SIAM Journal on Scientific Computing is a premier journal published by SIAM Publications, focusing on the interdisciplinary domain of scientific computing. With a significant standing in the academic community, this journal boasts a 2023 Q1 ranking in both Applied Mathematics and Computational Mathematics, positioning it among the top-tier publications in these fields. The journal aims to disseminate high-quality research that applies computational methods to solve scientific and engineering problems, fostering advancements in numerical analysis, algorithms, and software development. Researchers and professionals can greatly benefit from the journal's rigorous peer-review process and its reputation for publishing cutting-edge studies. Though it is not an open-access journal, subscribing institutions and individual subscribers gain access to a wealth of knowledge tailored for those seeking to enhance their expertise in scientific computation. With its established history since 1996 and continuing to publish until 2024, the SIAM Journal on Scientific Computing remains an essential resource for students, researchers, and professionals dedicated to pushing the boundaries of this dynamic field.

APPLIED MATHEMATICS AND OPTIMIZATION

Unveiling the Power of Mathematics in Optimization
Publisher: SPRINGERISSN: 0095-4616Frequency: 6 issues/year

Applied Mathematics and Optimization, published by Springer, is a prestigious journal dedicated to the rigorous exploration of applied mathematics, optimization techniques, and their multifaceted applications. Since its inception in 1974, the journal has maintained a robust reputation within the academic community, achieving a commendable Q1 ranking in both Applied Mathematics and Control and Optimization categories as of 2023. With an impact factor that underscores its influence in the field, the journal provides a platform for researchers and practitioners to disseminate innovative methodologies and significant advancements. While it does not offer Open Access, the journal’s esteemed peer-reviewed articles serve as invaluable resources for the advancement of theoretical knowledge and practical applications. Researchers, professionals, and students alike will find Applied Mathematics and Optimization an essential source for staying at the forefront of mathematical sciences, particularly in optimizing real-world systems and processes.