Electronic Journal of Graph Theory and Applications

Scope & Guideline

Fostering collaboration in the dynamic world of graph theory.

Introduction

Welcome to your portal for understanding Electronic Journal of Graph Theory and Applications, 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.
LanguageEnglish
ISSN2338-2287
PublisherINST TEKNOLOGI BANDUNG
Support Open AccessYes
CountryIndonesia
TypeJournal
Convergefrom 2016 to 2024
AbbreviationELECTRON J GRAPH THE / Electron. J. Graph Theory Appl.
Frequency2 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressJALAN GANESHA 10, BANDUNG 40132, INDONESIA

Aims and Scopes

The Electronic Journal of Graph Theory and Applications focuses on advancing the field of graph theory through the exploration of both theoretical and applied aspects. It encompasses a diverse range of topics that contribute to the understanding and application of graph structures and properties.
  1. Graph Labeling and Coloring:
    Research related to various labeling and coloring techniques of graphs, such as magic labeling, harmonious labeling, and edge-locating coloring, which play crucial roles in optimizing graph representation and properties.
  2. Graph Properties and Structures:
    Investigations into the properties of specific classes of graphs, including Cayley graphs, regular graphs, and distance magic graphs, focusing on their unique characteristics and applications.
  3. Graph Decompositions and Configurations:
    Studies on decomposing graphs into particular structures, analyzing configurations such as multipartite graphs and complete graphs, which contribute to combinatorial optimization and network design.
  4. Combinatorial and Algebraic Graph Theory:
    Approaches that utilize combinatorial techniques and algebraic methods to analyze graph properties, including chromatic numbers, domination numbers, and Ramsey theory, revealing deeper mathematical insights.
  5. Applications of Graph Theory:
    Explorations that apply graph theory concepts to real-world problems, such as network design, robotics, and computational biology, demonstrating the practical implications of theoretical research.
The journal has seen a rise in specific themes that reflect contemporary interests and advancements in graph theory. These emerging scopes highlight the journal's adaptation to current trends and research needs.
  1. Advanced Graph Labeling Techniques:
    Recent publications increasingly focus on sophisticated labeling techniques, such as distance magic and edge-locating colorings, which have vital applications in network design and optimization.
  2. Graph Connectivity and Domination:
    There is a growing interest in the study of graph connectivity, domination, and covering problems, which are essential for understanding network resilience and efficiency.
  3. Graph Theory in Computational Applications:
    Research applying graph theory to computational problems, including algorithms related to optimization and network flow, suggests an emerging trend towards practical applications in computer science.
  4. Combinatorial Optimization in Graphs:
    An increasing number of studies concentrate on combinatorial optimization problems within graphs, exploring methods to improve efficiency in various applications, from logistics to telecommunications.
  5. Interdisciplinary Applications of Graph Theory:
    The journal is witnessing a trend towards interdisciplinary research, where graph theory is applied to fields such as biology, social sciences, and robotics, showcasing its versatility and relevance.

Declining or Waning

While the journal continues to evolve, certain themes have shown a decline in focus over recent years. These waning scopes reflect shifting interests in the broader field of graph theory and its applications.
  1. Generalized Graph Structures:
    Research on generalized structures of graphs, such as hypergraphs and specific types of directed graphs, has become less prominent, possibly due to a shift towards more specialized or applied studies.
  2. Basic Graph Algorithms:
    Papers focusing on foundational graph algorithms and their basic properties are appearing less frequently, as the field moves towards more complex and nuanced explorations.
  3. Historical Graph Theory:
    Studies that primarily emphasize historical perspectives or classical results in graph theory have waned, indicating a trend towards innovative and contemporary research questions.
  4. Elementary Graph Theory:
    Research comprising fundamental principles of graph theory is diminishing, suggesting a shift towards advanced topics that require deeper mathematical frameworks.

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