Parallel Algorithm Analysis

Parallel Algorithm Analysis is the systematic evaluation of algorithmic strategies and computational behaviors in concurrent execution environments to determine efficiency, scalability, and resource utilization characteristics distinct from sequential counterparts.

1.1K

Publications

50.5K

Citations

2.4K

Authors

749

Institutions

Publications per year

2017–2026

92

Authors

2.4K

  1. GL
    Gary L. Miller

    Carnegie Mellon University, United States

    11 publications · 673 citations

    11

    h-index

  2. VK
    Vipin Kumar

    University of Minnesota, United States

    8 publications · 1.5K citations

    8

    h-index

  3. YT
    Yoshiyasu Takefuji

    Case Western Reserve University, United States

    8 publications · 300 citations

    8

    h-index

  4. UV
    Uzi Vishkin

    University of Maryland, College Park, United States

    7 publications · 1.4K citations

    7

    h-index

  5. GE
    Guy E. Blelloch

    Carnegie Mellon University, United States

    7 publications · 803 citations

    7

    h-index

1–5 of 2.4K

Venues

  1. Parallel Computing

    36 publications · 1.1K citations

    19

    h-index

  2. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 33 publications · 1.3K citations

    19

    h-index

  3. Journal of Parallel and Distributed Computing

    30 publications · 1.4K citations

    17

    h-index

  4. SIAM Journal on Computing

    24 publications · 2K citations

    17

    h-index

  5. IEEE Transactions on Computers

    19 publications · 1.7K citations

    16

    h-index

1–5