
Aims and Scope
ISSN: 3117-7980 | Start Year: 2026Journal of Combinatorics, Graph Theory and Applications (JCGTA) is a multidisciplinary peer-reviewed journal publishing articles in the fields of combinatorics and graph theory. The journal presents substantial advances and significant contributions on all aspects of combinatorics, graph theory, and their applications.
The journal features articles on combinatorics, graph theory, discrete mathematics, mathematical biology, and theoretical computer science. All submitted manuscripts are screened using Turnitin Software and undergo rigorous double-blind peer review.
Core Topics Covered
- Graph theory (classical, extremal, algebraic, structural, and random graphs) and hypergraph theory
- Extremal and probabilistic combinatorics, including Ramsey theory and random structures
- Discrete probability, combinatorial probability, and stochastic processes on graphs
- Theoretical computer science topics with strong combinatorial or probabilistic content
- Algorithms, complexity theory, randomized algorithms, and probabilistic analysis
- Applications of combinatorics and probability to communication networks and coding theory
Peer Review Process
This journal uses a double-blind review process, meaning both the reviewer and author identities are concealed from each other throughout the evaluation process. Each submitted manuscript is assigned to a minimum of 3 independent expert reviewers specializing in the respective topic area.
Open Access & Licensing
All articles are published under an Open Access Model and licensed under the Creative Commons Attribution License (CC BY 4.0). This license enables users to share, adapt, and build upon the material for any purpose, even commercially, provided proper attribution is given to the original author(s).
Corrections and Retractions
Corrections: Honest errors are a part of research and publishing. Authors are expected to inform the Journal's Editor of any errors of fact detected post-publication so that formal correction notices can be issued promptly.
Retractions: Retractions are considered in cases of evidence of unreliable data, plagiarism, duplicate publication, or unethical research conduct. All retraction notices clearly outline the rationale behind the decision.
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