Time-expanded Networks

Time-Expanded Networks is a modeling framework in network flow theory that expands a static network into a time-dimensional structure by replicating nodes and arcs across discrete time steps, thereby enabling the representation of temporal dynamics and scheduling constraints in flow problems.

70

Publications

3K

Citations

200

Authors

105

Institutions

Publications per year

2017–2026

33

Variants

Time Expanded Networks

Authors

200

  1. MS
    Martin Savelsbergh

    Georgia Institute of Technology, United States

    7 publications · 377 citations

    7

    h-index

  2. JL
    Jiandong Li

    Xidian University, China

    6 publications · 233 citations

    6

    h-index

  3. MH
    Mike Hewitt

    Loyola University Chicago, United States

    6 publications · 387 citations

    6

    h-index

  4. NB
    Natashia Boland

    Georgia Institute of Technology, United States

    5 publications · 332 citations

    5

    h-index

  5. HL
    Hongyan Li

    Xidian University, China

    5 publications · 195 citations

    5

    h-index

1–5 of 200

Venues

  1. Transportation Science

    6 publications · 347 citations

    6

    h-index

  2. IEEE Communications Letters

    4 publications · 134 citations

    4

    h-index

  3. 3

    h-index

  4. Transportation Research Part B Methodological

    2 publications · 169 citations

    2

    h-index

  5. IEEE Wireless Communications Letters

    2 publications · 115 citations

    2

    h-index

1–5