Data Flow Management

Data Flow Management is a data orchestration framework that specifies the design, coordination, and monitoring of data movement across systems, processes, and dependencies to ensure timely, accurate, and reliable data availability throughout distributed computational workflows.

255

Publications

9.5K

Citations

906

Authors

313

Institutions

Publications per year

2017–2026

42

Authors

906

  1. JR
    John R. Gurd

    University of Manchester, United Kingdom

    5 publications · 73 citations

    5

    h-index

  2. TY
    Toshitsugu Yuba

    University of Electro-Communications, Japan

    4 publications · 44 citations

    4

    h-index

  3. SS
    Sherry Sun

    City University of Hong Kong, Hong Kong SAR China

    4 publications · 280 citations

    4

    h-index

  4. AP
    Alexander Pretschner

    Technical University of Munich, Germany

    3 publications · 94 citations

    3

    h-index

  5. RL
    Rudy Lauwereins

    KU Leuven, Belgium

    3 publications · 263 citations

    3

    h-index

1–5 of 906

Venues

  1. ACM SIGARCH Computer Architecture News

    4 publications · 219 citations

    4

    h-index

  2. IEEE Transactions on Nuclear Science

    3 publications · 50 citations

    3

    h-index

  3. Computer

    3 publications · 116 citations

    3

    h-index

  4. IBM Systems Journal

    3 publications · 117 citations

    3

    h-index

  5. 3

    h-index

1–5