High-throughput Workflow Management

High-Throughput Workflow Management is a computational framework that orchestrates the automated execution, scheduling, and monitoring of large-scale, data-intensive workflows across distributed resources to maximize throughput and resource utilization in high-throughput computing environments.

39

Publications

2.2K

Citations

191

Authors

76

Institutions

Publications per year

2017–2026

18

Authors

191

  1. ED
    Ewa Deelman

    University of Southern California, United States

    5 publications · 88 citations

    5

    h-index

  2. MR
    Mats Rynge

    University of Southern California, United States

    4 publications · 66 citations

    4

    h-index

  3. KV
    Karan Vahi

    University of Southern California, United States

    4 publications · 66 citations

    4

    h-index

  4. LA
    Lucas A. Salas

    Dartmouth College, United States

    3 publications · 51 citations

    3

    h-index

  5. RF
    Rafael Ferreira da Silva

    University of Southern California, United States

    3 publications · 55 citations

    3

    h-index

1–5 of 191

Venues

  1. BMC Bioinformatics

    5 publications · 150 citations

    5

    h-index

  2. Bioinformatics

    4 publications · 125 citations

    4

    h-index

  3. 2

    h-index

  4. Molecular Biology and Evolution

    MBE · 1 publications · 70 citations

    1

    h-index

  5. Computers in Biology and Medicine

    1 publications · 30 citations

    1

    h-index

1–5