Dataflow Semantics

Dataflow Semantics is a formal framework that specifies the meaning of dataflow models by defining the rules governing the timing, ordering, and propagation of data tokens through a network of computational nodes.

329

Publications

15.4K

Citations

846

Authors

276

Institutions

Publications per year

2017–2026

33

Authors

846

  1. SS
    Shuvra S. Bhattacharyya

    University of Maryland, College Park, United States

    16 publications · 800 citations

    13

    h-index

  2. EA
    Edward A. Lee

    University of California, Berkeley, United States

    6 publications · 361 citations

    6

    h-index

  3. WP
    William Plishker

    University of Maryland, College Park, United States

    6 publications · 191 citations

    6

    h-index

  4. MP
    Marc Pouzet

    Institut national de recherche en sciences et technologies du numérique, France

    6 publications · 302 citations

    6

    h-index

  5. JW
    Jörn W. Janneck

    École Polytechnique Fédérale de Lausanne, Switzerland

    6 publications · 238 citations

    6

    h-index

1–5 of 846

Venues

  1. ACM SIGPLAN Notices

    9 publications · 226 citations

    9

    h-index

  2. 6

    h-index

  3. Computer

    5 publications · 448 citations

    5

    h-index

  4. Proceedings of the VLDB Endowment

    PVLDB · 4 publications · 165 citations

    4

    h-index

  5. Information Systems

    4 publications · 152 citations

    4

    h-index

1–5