Parallel Processing

Parallel Processing is a computational paradigm in which multiple processes or operations are executed simultaneously within a system to enhance performance and efficiency by dividing a larger task into smaller, concurrently executable subtasks.

4.3K

Publications

329.9K

Citations

11.7K

Authors

2.5K

Institutions

Publications per year

2017–2026

732

Authors

11.7K

  1. MI
    Masatoshi Ishikawa

    The University of Tokyo, Japan

    16 publications · 480 citations

    13

    h-index

  2. JL
    James L. McClelland

    Carnegie Mellon University, United States

    14 publications · 2.4K citations

    13

    h-index

  3. HJ
    Howard Jay Siegel

    Colorado State University, United States

    13 publications · 480 citations

    13

    h-index

  4. AG
    Andrew Grimshaw

    University of Virginia, United States

    15 publications · 785 citations

    13

    h-index

  5. JG
    Jonathan Grainger

    Aix-Marseille Université, France

    11 publications · 415 citations

    11

    h-index

1–5 of 11.7K

Venues

  1. IEEE Transactions on Computers

    79 publications · 6.6K citations

    35

    h-index

  2. 28

    h-index

  3. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 43 publications · 2.7K citations

    27

    h-index

  4. Computer

    35 publications · 3.3K citations

    23

    h-index

  5. IEEE Access

    38 publications · 986 citations

    22

    h-index

1–5