MATCH-COMMUNICATIONS IN MATHEMATICAL AND IN COMPUTER CHEMISTRY

Scope & Guideline

Transforming Ideas into Applications in Chemical Sciences

Introduction

Delve into the academic richness of MATCH-COMMUNICATIONS IN MATHEMATICAL AND IN COMPUTER CHEMISTRY 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.
LanguageMulti-Language
ISSN0340-6253
PublisherUNIV KRAGUJEVAC, FAC SCIENCE
Support Open AccessNo
CountrySerbia
TypeJournal
Converge1990, from 1996 to 2025
AbbreviationMATCH-COMMUN MATH CO / Match-Commun. Math. Cmput. Chem.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressPO BOX 60, RADOJA DOMANOVICA 12, KRAGUJEVAC 34000, SERBIA

Aims and Scopes

MATCH-COMMUNICATIONS IN MATHEMATICAL AND IN COMPUTER CHEMISTRY focuses on the intersection of mathematical methodologies and computational techniques in chemistry. The journal covers a wide range of topics that include mathematical modeling of chemical processes, cheminformatics, graph theory applications in chemistry, and the development of computational algorithms for chemical analysis.
  1. Cheminformatics and Computational Chemistry:
    The journal emphasizes the use of computational techniques and cheminformatics to analyze chemical structures, properties, and reactions, providing insights into molecular behavior.
  2. Graph Theory in Chemistry:
    A significant focus is placed on the application of graph theory to study chemical compounds and their properties through topological indices and graph energies.
  3. Mathematical Modeling of Chemical Systems:
    The journal publishes research on mathematical models that describe dynamic systems in chemistry, including reaction kinetics, bifurcation analysis, and stability assessments.
  4. Extremal Graph Theory and Indices:
    Research on extremal properties of graphs, particularly concerning various degree-based indices and their implications in chemical graph theory, is a core area of interest.
  5. Interdisciplinary Applications:
    The journal encourages interdisciplinary research that bridges mathematics, computer science, and chemistry to advance methods in chemical analysis and synthesis.
The journal has demonstrated a clear trend towards emerging themes that reflect the evolving landscape of research at the intersection of mathematics and chemistry. Recent publications highlight several key areas gaining attention.
  1. Fractional-Order Dynamics:
    There is a growing interest in fractional-order models for chemical reactions, showcasing the complexity and nonlinearity of real-world systems, which allows for more accurate modeling of chemical processes.
  2. Machine Learning and AI in Chemistry:
    The integration of machine learning techniques in analyzing chemical data, predicting reaction outcomes, and optimizing synthesis processes is emerging as a significant trend, reflecting the broader influence of AI in scientific research.
  3. Advanced Topological Indices:
    Recent publications focus on the development and application of advanced topological indices that provide deeper insights into molecular properties, indicating a shift towards more sophisticated analytical methods.
  4. Bifurcation Analysis in Chemical Systems:
    Research on bifurcation phenomena within chemical reaction networks is trending, revealing its importance in understanding stability and control in complex chemical processes.
  5. Interdisciplinary Research Approaches:
    There is an increasing trend towards interdisciplinary research, combining insights from mathematics, computer science, and chemistry to tackle complex challenges in chemical synthesis and analysis.

Declining or Waning

Over the years, certain themes within MATCH-COMMUNICATIONS IN MATHEMATICAL AND IN COMPUTER CHEMISTRY have shown a decline in frequency, indicating a potential shift in research focus or a saturation of topics. The following themes have become less prominent in recent publications.
  1. Classical Chemical Kinetics:
    Research focused on traditional chemical kinetics models has seen a decline, possibly due to the increasing interest in more complex and dynamic systems that incorporate fractional-order models and nonlinear dynamics.
  2. Basic Graph Theory Applications:
    Simplistic applications of graph theory without significant computational or chemical implications are appearing less frequently, as the focus has shifted towards more complex and nuanced applications.
  3. Static Properties of Chemical Compounds:
    Studies concentrating solely on static properties of chemical compounds, such as single topological indices without dynamic implications, are less common, indicating a trend towards dynamic and multifaceted analyses.

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