Journal of Graph Theory - Wiley-Blackwell - Impact Factor

Journal of Graph Theory - Wiley-Blackwell | 2024 Impact Factor:1 | Cite Score:1.8 | Q1

Impact Factor and Journal Rank of Journal of Graph Theory

About: The Journal of Graph Theory is a prestigious publication dedicated to advancing the field of graph theory through scholarly research and innovative contributions. It serves as a vital platform for researchers, educators, and practitioners interested in exploring the theoretical foundations and practical applications of graphs.
Objective:
The primary objective of the Journal of Graph Theory is to foster academic discourse and knowledge dissemination within the realm of graph theory. By publishing original research papers, survey articles, and case studies, the journal aims to push the boundaries of graph theoretical concepts and their applications across various disciplines.
Interdisciplinary Approach:
The Journal of Graph Theory promotes an interdisciplinary approach by encouraging contributions that bridge diverse areas such as mathematics, computer science, network analysis, and theoretical physics. This interdisciplinary focus allows researchers to explore connections between graph theory and other fields, leading to novel insights and innovative solutions to complex problems.
Impact:
The impact of the Journal of Graph Theory is profound, influencing the development of graph theoretical frameworks, algorithms, and methodologies. Its publications contribute to advancements in network modeling, data analysis, and optimization strategies, impacting fields ranging from computer networks to social sciences.
Significance:
The Journal of Graph Theory holds significant importance for researchers like you who are deeply engaged in theoretical and applied research. Its rigorous publications provide a foundation for exploring new graph theoretical concepts and applying them to real-world problems, thereby driving innovation and expanding the frontiers of graph theory.

Journal Home: Journal Homepage

Editor-in-Chief: Paul Seymour

The Journal of Graph Theory focuses on the study and applications of graph theory. This journal publishes significant research findings in various areas related to graph theory, including both theoretical and practical aspects.

Scope: Here is an overview of its scope and topics covered:
Graph Theory Fundamentals:
Research on the basic properties and structures of graphs, including studies on graph connectivity, coloring, matchings, and graph isomorphisms. Fundamental concepts such as trees, cycles, paths, and cuts are also explored.
Graph Algorithms:
Studies on the development and analysis of algorithms for solving graph-related problems. This includes research on algorithmic complexity, approximation algorithms, and computational methods for large-scale graphs.
Topological Graph Theory:
Research on the interplay between graph theory and topology. Topics include embeddings of graphs in surfaces, graph minors, and topological properties of graphs.
Extremal Graph Theory:
Studies on extremal problems in graph theory, such as determining the maximum or minimum number of edges in graphs with given properties. This includes TurÃ¡n-type problems, extremal functions, and applications of probabilistic methods in extremal graph theory.
Random Graphs:
Research on the properties and behavior of random graphs. Topics include the study of phase transitions, random graph processes, and the application of probabilistic methods to graph theory.
Graph Coloring:
Studies on various aspects of graph coloring, including vertex coloring, edge coloring, list coloring, and chromatic polynomials. This includes research on the theoretical foundations and practical applications of graph coloring.
Graph Labeling:
Research on the assignment of labels to the vertices or edges of a graph according to certain rules. This includes studies on graceful labeling, harmonious labeling, and other types of graph labelings.
Graph Dynamics:
Studies on the dynamic properties of graphs, including graph evolution, dynamic graph algorithms, and the behavior of graphs over time. This includes research on temporal graphs and evolving networks.
Graph Polynomials:
Research on polynomial invariants of graphs, such as the chromatic polynomial, the Tutte polynomial, and other graph polynomials. This includes studies on their properties, applications, and relationships with other graph invariants.
Graph Representations:
Studies on different ways to represent graphs, including adjacency matrices, incidence matrices, and other matrix representations. This includes research on spectral graph theory and the applications of linear algebra to graph theory.
Applications of Graph Theory:
Research on the application of graph theory to various fields, including computer science, biology, chemistry, physics, and social sciences. This includes studies on network analysis, graph-based data structures, and the use of graphs in modeling real-world phenomena.
Interdisciplinary Studies:
Studies that integrate graph theory with other mathematical disciplines or explore its applications in interdisciplinary contexts. This includes research on combinatorial optimization, discrete mathematics, and mathematical biology.