Workflow Automation Frameworks

Workflow Automation Frameworks is a computational infrastructure that enables the systematic design, execution, monitoring, and management of data-driven workflows by orchestrating interdependent tasks across distributed environments, distinguished by its structured approach to automating complex data pipelines through defined workflows, scheduling, and error handling mechanisms.

144

Publications

11K

Citations

749

Authors

290

Institutions

Publications per year

2017–2026

48

Authors

749

  1. BL
    Bertram Ludäscher

    University of California, Davis, United States

    6 publications · 210 citations

    6

    h-index

  2. CG
    Carole Goble

    University of Manchester, United Kingdom

    5 publications · 756 citations

    5

    h-index

  3. İA
    İlkay Altıntaş

    University of California San Diego, United States

    4 publications · 211 citations

    4

    h-index

  4. YG
    Yolanda Gil

    University of Southern California, United States

    4 publications · 312 citations

    4

    h-index

  5. DT
    Douglas Thain

    University of Notre Dame, United States

    3 publications · 55 citations

    3

    h-index

1–5 of 749

Venues

  1. Journal of Physics Conference Series

    6 publications · 104 citations

    6

    h-index

  2. F1000Research

    6 publications · 2.7K citations

    6

    h-index

  3. BMC Bioinformatics

    4 publications · 154 citations

    4

    h-index

  4. Bioinformatics

    4 publications · 95 citations

    4

    h-index

  5. Computational Materials Science

    3 publications · 425 citations

    3

    h-index

1–5