Journal of Siberian Federal University-Mathematics & Physics

Scope & Guideline

Connecting Scholars through Open Access Discoveries

Introduction

Delve into the academic richness of Journal of Siberian Federal University-Mathematics & Physics 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
ISSN1997-1397
PublisherSIBERIAN FEDERAL UNIV
Support Open AccessNo
CountryRussian Federation
TypeJournal
Convergefrom 2014 to 2024
AbbreviationJ SIB FED UNIV-MATH / J. Sib. Fed. Univ.-Math. Phys.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address79 SVOBODNY PROSPECT, RM 21-02, KRASNOYARSK 660041, RUSSIA

Aims and Scopes

The Journal of Siberian Federal University-Mathematics & Physics focuses on a wide range of mathematical and physical sciences, emphasizing both theoretical and applied research. Its publications reflect a commitment to advancing knowledge through rigorous mathematical analysis and innovative physical modeling.
  1. Mathematical Analysis and Applied Mathematics:
    The journal publishes research on various aspects of mathematical analysis, including functional analysis, differential equations, and numerical methods, reflecting a strong emphasis on solving complex mathematical problems.
  2. Theoretical and Computational Physics:
    Papers in this area cover significant theoretical advancements and computational techniques in physics, particularly in areas such as quantum mechanics, statistical mechanics, and thermodynamics.
  3. Materials Science and Engineering:
    Research focusing on the properties, behavior, and applications of materials, including nanomaterials and composites, is a crucial part of the journal, contributing to advancements in engineering and technology.
  4. Statistical Mechanics and Thermodynamics:
    The journal features studies that explore the principles of statistical mechanics and thermodynamics, often applying these principles to real-world problems in various scientific fields.
  5. Interdisciplinary Research:
    The journal encourages interdisciplinary approaches, integrating mathematics and physics with other scientific domains, thus fostering innovative solutions to complex challenges.
The journal has shown a dynamic evolution in its focus areas, with several themes emerging as particularly prominent in recent years. This section outlines the trending and emerging scopes that are gaining traction among researchers.
  1. Nanotechnology and Material Engineering:
    Recent publications highlight a significant increase in research related to nanotechnology, particularly in the development and application of nanomaterials, reflecting the growing importance of this field in modern science.
  2. Machine Learning and Artificial Intelligence in Physics:
    There is a notable trend towards integrating machine learning and AI techniques in physics research, with an increasing number of studies focusing on predictive modeling and data analysis.
  3. Complex Systems and Nonlinear Dynamics:
    Research in complex systems and nonlinear dynamics is gaining prominence, as scholars explore intricate behaviors in various physical phenomena, indicating a shift towards understanding interconnected systems.
  4. Mathematical Modeling of Real-World Problems:
    An increase in papers that emphasize mathematical modeling to address real-world issues, particularly in environmental science and engineering applications, reflects a growing interdisciplinary approach to problem-solving.
  5. Quantum Computing and Information Theory:
    Emerging themes in quantum computing and information theory are becoming more prevalent, showcasing the journal's commitment to publishing cutting-edge research in advanced computational methods.

Declining or Waning

While the journal maintains a broad scope, certain themes appear to be declining in frequency or prominence in recent publications. This section highlights these waning areas of focus.
  1. Classical Mechanics:
    Research related to classical mechanics, including traditional approaches to mechanics problems, has seen a decrease. The trend indicates a shift towards more modern and interdisciplinary approaches.
  2. Traditional Statistical Methods:
    There is a noticeable reduction in the publication of papers focusing on classical statistical methods, as the journal increasingly gravitates towards advanced computational techniques and machine learning applications.
  3. Pure Algebraic Studies:
    Papers dedicated solely to abstract algebraic theories without practical applications are becoming less frequent, reflecting a broader trend towards applied mathematics and its relevance to physical sciences.

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