About the Journal

Journal of Data Structures and Computing (JoDSC) is a double blind peer-reviewed, bi-annual journal, which aims to provide readers with the most recent findings in the field of data structures and computing. Each paper accepted for publication in the journal have a significant empirical or theoretical contribution. The journal welcomes research articles in all areas of computer science-related submissions.

JoDSC aims to be a leading platform for researchers, scholars, and practitioners to share their latest advancements and discoveries in the field of data structures and computing. The journal's scope encompasses a wide range of topics including the design, analysis, implementation, and evaluation of data structures, algorithms, and computational techniques. It welcomes original research articles, reviews, and case studies that contribute to the development of efficient and scalable data structures, algorithms for various computational problems, optimization techniques, and innovative approaches in areas such as data management, information retrieval, data mining, and distributed computing. The primary goal is to facilitate the dissemination of knowledge, foster collaboration among researchers, and drive advancements in the field of data structures and computing, ultimately benefiting diverse applications in industry and academia.

Focus and Scope:

  • Algorithm Design and Analysis
  • Bioinformatics and Computational Biology
  • Computational Complexity
  • Computational Geometry
  • Data Management and Organization
  • Data Mining and Knowledge Discovery
  • Data Organization
  • Data Storage and Retrieval
  • Distributed and Parallel Computing
  • Dynamic Data Structures
  • Efficient Data Structures
  • Graph Theory and Networks
  • Information Retrieval
  • Optimization Techniques