Journal of Algebraic Statistics is an international scholarly refereed research journal which aims to promote the theory and practice of technology, innovation, and engineering management.

The journal links engineering, science, and management disciplines. It addresses the issues involved in the planning, development, and implementation of technological capabilities to shape and accomplish the strategic and operational objectives of an organization. It covers not only R&D management, but also the entire spectrum of managerial concerns in technology-based organizations. This includes issues relating to new product development, human resource management, innovation process management, project management, technological fusion, marketing, technological forecasting and strategic planning.

Coverage Areas: Although the list is not prescriptive, Journal of Algebraic Statistics intends to focus on advances in the following sub-domains:

    1. Computational Theory
    2. Computer Science
    3. Ring and Module theory
    4. Group theory
    5. Semigroup theory
    6. Linear Algebra, Algebraic combinatorics
    7. Algebraic graph theory, Homological Algebra
    8. Algebraic topology
    9. Fuzzy Algebra
    10. Cryptography

Types of Papers: The Journal accepts the following categories of papers:

  • Original research
  • Position papers/review papers
  • Short-papers (with well-defined ideas, but lacking research results or having preliminary results)
  • Technology Discussion/Overview Papers