Scheduling Data Structures

Scheduling Data Structures is a formal computational framework that organizes and represents temporal, resource, and dependency information for activities in a manner that enables efficient planning, sequencing, and optimization within project or operational schedules.

7

Publications

124

Citations

23

Authors

11

Institutions

Publications per year

2017–2026

0

Authors

23

  1. JL
    Jesper Larsson Träff

    TU Wien, Austria

    2 publications · 36 citations

    2

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  2. MW
    Martin Wimmer

    Chalmers University of Technology, Sweden

    2 publications · 36 citations

    2

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  3. DC
    Daniel Cederman

    Chalmers University of Technology, Sweden

    2 publications · 36 citations

    2

    h-index

  4. PT
    Philippas Tsigas

    Chalmers University of Technology, Sweden

    2 publications · 36 citations

    2

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  5. FV
    Francesco Versaci

    Chalmers University of Technology, Sweden

    2 publications · 36 citations

    2

    h-index

1–5 of 23

Venues

  1. 1

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  2. European Journal of Operational Research

    1 publications · 29 citations

    1

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  3. Intelligenza Artificiale

    1 publications · 11 citations

    1

    h-index

  4. ACM SIGPLAN Notices

    1 publications · 10 citations

    1

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1–5