AKCE International Journal of Graphs and Combinatorics

Scope & Guideline

Unlocking the Secrets of Graphs and Combinatorial Structures.

Introduction

Immerse yourself in the scholarly insights of AKCE International Journal of Graphs and Combinatorics 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
ISSN0972-8600
PublisherTAYLOR & FRANCIS LTD
Support Open AccessYes
CountryIndia
TypeJournal
Convergefrom 2011 to 2024
AbbreviationAKCE INT J GRAPHS CO / AKCE Int. J. Graphs Comb.
Frequency3 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND

Aims and Scopes

The AKCE International Journal of Graphs and Combinatorics focuses on the interplay between graph theory and combinatorial structures, publishing innovative research that advances these fields. The journal emphasizes both theoretical advancements and practical applications, making it a key resource for researchers and practitioners alike.
  1. Graph Theory:
    A core area of focus, graph theory encompasses various properties, structures, and applications of graphs, including domination, coloring, and labeling.
  2. Combinatorial Structures:
    The journal explores combinatorial aspects related to graphs, such as hypergraphs and network structures, emphasizing their mathematical properties and applications.
  3. Algebraic Graph Theory:
    This area involves studying graphs through algebraic methods, including the examination of graph spectra, zero-divisor graphs, and their relationships with algebraic structures.
  4. Game Theory and Graphs:
    The integration of game theory concepts with graph structures is a notable theme, exploring strategic interactions modeled through graph representations.
  5. Applications in Network Theory:
    The journal often features research on practical applications of graph theory in network design, optimization, and communication systems.
The journal has exhibited a dynamic evolution in its thematic focus, with several emerging topics gaining traction in recent publications. These trends reflect the evolving landscape of graph theory and its applications.
  1. Advanced Graph Labeling Techniques:
    Recent papers have increasingly focused on sophisticated labeling methods, such as total Roman domination and antimagic labeling, highlighting their importance in both theoretical and practical applications.
  2. Intersection of Graph Theory and Algebra:
    The relationship between graph theory and algebraic structures, particularly zero-divisor graphs and spectral graph theory, has gained prominence, indicating a growing interest in algebraic methods within graph research.
  3. Graph-Based Network Applications:
    The application of graph theory in network scenarios, such as communication networks and social networks, has emerged as a significant trend, reflecting the real-world relevance of graph studies.
  4. Metric Dimension and Domination in Graphs:
    Research focusing on metric dimensions and various domination parameters has surged, pointing to a deeper exploration of how these concepts can optimize network structures.
  5. Game-Theoretic Approaches to Graph Problems:
    The integration of game theory with graph structures is becoming increasingly prevalent, indicating a trend towards the analysis of strategic interactions within graph-based frameworks.

Declining or Waning

While the journal has seen a robust engagement with various themes, some areas have shown a decline in publication frequency or interest. This may reflect broader shifts in research focus or the maturation of specific topics.
  1. Classical Graph Algorithms:
    Topics centered on traditional algorithms for graph traversal and basic manipulation have become less prominent, as researchers pursue more complex and application-driven methodologies.
  2. Elementary Graph Properties:
    Basic properties and characteristics of graphs, such as simple connectivity or degree sequences, are appearing less frequently, indicating a shift towards more intricate analyses.
  3. Historical Perspectives on Graph Theory:
    Papers that focus on historical or retrospective analyses of graph theory concepts have decreased, suggesting a move towards contemporary applications and developments.

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