Zeitschriften
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Journal of Graph Theory & Combinatorial Mathematics
The Journal of Graph Theory & Combinatorial Mathematics (JGTCM) is an international, peer-reviewed open access journal devoted to the publication of high-quality original research articles, review papers, and short communications in all areas of graph theory, combinatorial optimization, network science, and their applications in computer science, data analysis, and the natural sciences. The journal aims to provide a fast and transparent peer-review process to promote advances in discrete mathematics and its interdisciplinary applications. The Journal of Graph Theory & Combinatorial Mathematics (JGTCM) does not charge any submission or publication fees.
Aim
The Journal of Graph Theory & Combinatorial Mathematics (JGTCM) is an international, peer-reviewed open access journal dedicated to advancing the study of discrete mathematics, with a special focus on graph theory and combinatorial structures. The journal provides a platform for high-quality research and review articles that develop theoretical foundations, explore algorithmic methods, or present innovative applications in science, engineering, and technology.Scope
JGTCM welcomes original contributions in, but not limited to:Structural and extremal graph theory, Graph algorithms and complexity, Random graphs and probabilistic methods, Combinatorial optimization
Hypergraphs, networks, and network science, Applications of graph theory in computer science, biology, chemistry, social networks, and data science,
Surveys, expository papers, and short communications of broad interest
The journal maintains an international editorial board and aims for a fair, transparent, and timely peer-review process to ensure the highest scholarly standards.
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Journal of Clinical and Psychological Data
Journal of Clinical and Psychological Data (JCPD) is an open-access, peer-reviewed outlet for well-structured datasets and short data reports in the clinical, medical and psychological sciences. We welcome high-quality submissions that describe new datasets, re-analyses of existing datasets, or concise data-driven notes that can accelerate research, replication, and innovation.
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Journal of Artificial Intelligence and Data Applications
Journal of Artificial Intelligence and Data Applications (JAIDA) publishes high-quality research, data articles, and applied studies in Artificial Intelligence and Data Science, with a focus on real-world applications and interdisciplinary integration.
