Parallel Batch Processing

Parallel Batch Processing is a batch processing method that belongs to the class of batch processing techniques and is distinguished by its execution of multiple batch jobs concurrently across distributed computing resources to enhance processing speed and system throughput.

138

Publications

7.8K

Citations

322

Authors

163

Institutions

Publications per year

2017–2026

52

Authors

322

  1. JY
    Joseph Y.‐T. Leung

    New Jersey Institute of Technology, United States

    11 publications · 611 citations

    11

    h-index

  2. ZJ
    Zhaohong Jia

    Anhui University, China

    10 publications · 368 citations

    10

    h-index

  3. HC
    Huaping Chen

    University of Science and Technology of China, China

    10 publications · 456 citations

    10

    h-index

  4. PD
    Purushothaman Damodaran

    Northern Illinois University, United States

    9 publications · 619 citations

    9

    h-index

  5. KL
    Kai Li

    Hefei University of Technology, China

    7 publications · 217 citations

    7

    h-index

1–5 of 322

Venues

  1. International Journal of Production Research

    14 publications · 990 citations

    13

    h-index

  2. Computers & Industrial Engineering

    11 publications · 478 citations

    11

    h-index

  3. Computers & Operations Research

    13 publications · 1K citations

    11

    h-index

  4. European Journal of Operational Research

    9 publications · 544 citations

    9

    h-index

  5. Applied Soft Computing

    6 publications · 305 citations

    6

    h-index

1–5