Priority Queue Optimization

Priority Queue Optimization is a methodological framework within data structure design that specializes in enhancing the efficiency of priority queue operations by minimizing time complexity and resource overhead through algorithmic refinement and structural adaptation.

71

Publications

2.5K

Citations

169

Authors

103

Institutions

Publications per year

2017–2026

15

Authors

169

  1. MT
    Mikkel Thorup

    AT&T (United States), United States

    3 publications · 169 citations

    3

    h-index

  2. AE
    Amr Elmasry

    Max Planck Institute for Informatics, Germany

    3 publications · 108 citations

    3

    h-index

  3. JI
    J. Ian Munro

    University of Waterloo, Canada

    2 publications · 127 citations

    2

    h-index

  4. JZ
    Jackey Z. Yan

    Iowa State University, United States

    2 publications · 34 citations

    2

    h-index

  5. LS
    Lidan Shou

    Zhejiang University, China

    2 publications · 116 citations

    2

    h-index

1–5 of 169

Venues

  1. IEEE Access

    2 publications · 95 citations

    2

    h-index

  2. Operations Research

    2 publications · 84 citations

    2

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 120 citations

    2

    h-index

  4. Computer Graphics Forum

    2 publications · 50 citations

    2

    h-index

  5. SSRN Electronic Journal

    Repository · 2 publications · 34 citations

    2

    h-index

1–5