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Computational Geometry: Theory and Applications - Elsevier | 2024 Impact Factor:0.7 | Cite Score:1.8 | Q3

Computational Geometry: Theory and Applications Journal

Impact Factor and Journal Rank of Computational Geometry: Theory and Applications

  • About: Computational Geometry: Theory and Applications Journal is a premier academic publication dedicated to the advancement of research in computational geometry. The journal focuses on both the theoretical foundations and practical applications of geometric algorithms and data structures, providing a platform for cutting-edge research and interdisciplinary collaboration.
  • Objective
    The primary objective of Computational Geometry: Theory and Applications Journal is to foster the development and dissemination of knowledge in computational geometry. The journal aims to publish high-quality, peer-reviewed research that contributes to the understanding of geometric problems and their efficient computational solutions.
  • Interdisciplinary Approach
    Recognizing the interdisciplinary nature of computational geometry, the journal welcomes contributions from various fields, including but not limited to:
  • Computer Science: Algorithms and data structures for geometric problems, geometric modeling, and visualization.
    Mathematics: Geometric theory, discrete and computational geometry, combinatorial geometry.
    Engineering: Applications in computer-aided design (CAD), robotics, computer graphics, and geographic information systems (GIS).
    Physics and Biology: Geometric methods in simulations, molecular modeling, and biological shape analysis.
  • By integrating insights from these diverse disciplines, the journal aims to advance the state-of-the-art in computational geometry and foster innovation in its applications.
  • Impact
    Computational Geometry: Theory and Applications Journal seeks to make a significant impact by:
  • Publishing innovative research that advances the theoretical foundations and practical applications of computational geometry.
    Promoting interdisciplinary collaborations that lead to new insights and solutions to complex geometric problems.
    Providing a platform for researchers, practitioners, and educators to exchange ideas and findings.
    Influencing the development of algorithms, software tools, and applications in various fields.
  • Significance
    Computational geometry plays a crucial role in solving fundamental problems across diverse scientific and engineering domains. From designing efficient algorithms for geometric optimization to developing geometric tools for real-world applications, the contributions of computational geometry are pervasive. Computational Geometry: Theory and Applications Journal is committed to advancing this field by facilitating the dissemination of significant research findings and promoting collaboration among researchers worldwide.

  • Editor-in-Chief:  J.-R. Sack

  • Scope: The Computational Geometry: Theory and Applications Journal is a leading peer-reviewed academic journal that focuses on the study of geometric algorithms and their applications in computer science and related fields. Below is an overview of the scope and topics typically covered in this journal:
  • Geometric Algorithms:
    Convex Hulls: Algorithms for computing convex hulls of point sets and their applications.
  • Voronoi Diagrams: Study of Voronoi diagrams and Delaunay triangulations, including construction algorithms and geometric properties.
  • Range Searching: Techniques for efficiently searching geometric data structures, such as kd-trees and range trees.
  • Intersection and Union: Algorithms for computing intersections, unions, and other set operations on geometric objects.
  • Geometric Data Structures:
    Spatial Data Structures: Design and analysis of data structures optimized for spatial queries and geometric computations.
  • Dynamic Data Structures: Techniques for maintaining geometric data structures under dynamic updates.
  • Persistent Data Structures: Persistent and functional data structures adapted for geometric applications.
  • Applications of Computational Geometry:
    Computer Graphics: Geometric algorithms and data structures for rendering, geometric modeling, and animation.
  • Computer-Aided Design (CAD): Geometric algorithms and tools for CAD systems and geometric modeling.
  • Robotics: Applications of computational geometry in robot motion planning, manipulation, and path optimization.
  • GIS and Mapping: Geometric algorithms for geographical information systems (GIS), spatial databases, and map-related applications.
  • Geometric Optimization:
    Minimum Spanning Trees: Algorithms for computing minimum spanning trees and their variants in geometric settings.
  • Shortest Paths: Geometric algorithms for computing shortest paths in planar and spatial graphs.
  • Optimal Transport: Techniques for solving optimal transport and related geometric optimization problems.
  • Computational Complexity:
    Hardness Results: Complexity analysis and hardness results for geometric problems.
  • Approximation Algorithms: Approximation algorithms and heuristics for geometric optimization problems.
  • Parameterized Complexity: Parameterized algorithms and complexity results in computational geometry.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  0925-7721

    Electronic ISSN:  

  • Abstracting and Indexing:  Scopus, Science Citation Index Expanded

  • Imapct Factor 2024:  0.7

  • Subject Area and Category:   Computer Science, Computational Theory and Mathematics, Computer Science Applications, Mathematics, Computational Mathematics, Control and Optimization, Geometry and Topology

  • Publication Frequency:  

  • H Index:  61

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  Computational Mathematics

    Q4:  

  • Cite Score:  1.8

  • SNIP:  0.770

  • Journal Rank(SJR):  0.396