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Journal of Graph Algorithms and Applications - Brown University | 2023 Cite Score:1.2 | Q2

Journal of Graph Algorithms and Applications With Cite Score

Cite Score and Journal Rank of Journal of Graph Algorithms and Applications

  • About: The Journal of Graph Algorithms and Applications publishes original research articles, technical papers, and reviews on topics related to graph algorithms and their applications. This includes areas such as algorithmic graph theory, network analysis, graph-based data structures, and practical applications of graph algorithms in computer science, operations research, and related fields. The journal aims to advance the understanding and development of efficient graph algorithms and their implementation in real-world problems.
  • Objective
    The primary objective of the journal is to provide a platform for high-quality research and scholarly discussion on graph algorithms and their applications. It seeks to promote the development of innovative algorithms, support the application of these algorithms to practical problems, and enhance the theoretical and empirical understanding of graph-based methods.
  • Interdisciplinary Approach
    Journal of Graph Algorithms and Applications adopts an interdisciplinary approach, recognizing that research in this field often intersects with computer science, mathematics, engineering, and operations research. The journal encourages contributions that integrate these diverse perspectives to address complex problems and develop comprehensive solutions using graph algorithms.
  • Impact and Significance
    The journal has a significant impact on the graph algorithms and applications communities by providing valuable insights and practical recommendations for researchers, practitioners, and technologists. Its influence is reflected in its ability to shape research directions, drive advancements in graph algorithms, and contribute to the development of more efficient and effective solutions for a variety of applications. Journal of Graph Algorithms and Applications plays a crucial role in advancing knowledge and practice in these areas.

  • Editor-in-Chief:  E. Di Giacomo

  • Scope: The Journal of Graph Algorithms and Applications focuses on the development and application of algorithms for graph-related problems. It provides a platform for research on innovative graph algorithms and their practical applications in various fields.
  • Graph Algorithms:
    Research on the design and analysis of algorithms for graph problems
    Innovations in algorithms for graph traversal, shortest paths, network flows, and graph coloring
    Case studies demonstrating the application of graph algorithms to real-world problems
    Trends in the development of new algorithms and computational techniques for graph analysis
    Future directions for research in graph algorithms
  • Graph Theory:
    Research on theoretical aspects of graphs, including graph properties, invariants, and structures
    Developments in graph theory that influence algorithm design and application
    Case studies on the use of graph theory to address complex problems in various domains
    Trends in the advancement of graph theory and its interaction with algorithm development
    Future directions for research in graph theory
  • Applications of Graph Algorithms:
    Research on the application of graph algorithms to diverse fields such as computer networks, bioinformatics, social networks, and logistics
    Innovations in the use of graph algorithms for practical problem-solving and decision-making
    Case studies showcasing the impact of graph algorithms on specific industries and applications
    Trends in the application of graph algorithms across different domains
    Future directions for expanding the application of graph algorithms
  • Computational Complexity:
    Research on the computational complexity of graph algorithms
    Developments in understanding the efficiency and limitations of graph algorithms
    Case studies on the impact of computational complexity on algorithm design and performance
    Trends in the study of complexity in graph-related problems
    Future directions for addressing complexity issues in graph algorithms
  • Graph Visualization:
    Research on methods and techniques for visualizing graph structures and algorithms
    Innovations in graph drawing, visualization tools, and user interfaces
    Case studies on the use of visualization to enhance understanding and analysis of graph algorithms
    Trends in the development of new visualization techniques and technologies
    Future directions for research in graph visualization
  • Data Structures for Graphs:
    Research on data structures that support efficient graph algorithms and operations
    Developments in graph representation, storage, and manipulation techniques
    Case studies on the impact of data structures on the performance of graph algorithms
    Trends in the evolution of data structures for graph-related problems
    Future directions for improving data structures for graph algorithms
  • Algorithm Engineering:
    Research on the engineering and optimization of graph algorithms for practical use
    Innovations in the implementation, testing, and benchmarking of graph algorithms
    Case studies on the deployment of graph algorithms in real-world applications
    Trends in the field of algorithm engineering and its impact on graph algorithms
    Future directions for enhancing the practical implementation of graph algorithms
  • Educational Resources and Training:
    Research on educational strategies and resources for graph algorithms and theory
    Innovations in curriculum design, training programs, and professional development
    Case studies on effective educational practices and their impact on the field
    Trends in the evolution of education and training in graph algorithms and theory
    Future directions for enhancing educational and training opportunities
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  15261719

    Electronic ISSN:  

  • Abstracting and Indexing:  Scopus

  • Imapct Factor :  

  • Subject Area and Category:   Computer Science, Computational Theory and Mathematics, Computer Science Applications, Computer Science (miscellaneous), Mathematics, Geometry and Topology, Theoretical Computer Science

  • Publication Frequency:  

  • H Index:  39

  • Best Quartile:

    Q1:  

    Q2:  Computational Theory and Mathematics

    Q3:  

    Q4:  

  • Cite Score:  1.0

  • SNIP:  0.696

  • Journal Rank(SJR):  0.434