Erasure Networks

Erasure Networks is a theoretical framework in Network Information Theory that models communication systems in which data packets are either received without error or irretrievably lost, distinguished from other network models by its explicit treatment of erasure events as a fundamental channel impairment rather than additive noise or interference.

166

Publications

7.6K

Citations

356

Authors

164

Institutions

Publications per year

2017–2026

19

Authors

356

  1. MM
    Muriel Médard

    Massachusetts Institute of Technology, United States

    8 publications · 345 citations

    8

    h-index

  2. ME
    Michelle Effros

    California Institute of Technology, United States

    6 publications · 530 citations

    6

    h-index

  3. BH
    Babak Hassibi

    California Institute of Technology, United States

    5 publications · 694 citations

    5

    h-index

  4. MX
    Ming Xiao

    KTH Royal Institute of Technology, Sweden

    5 publications · 109 citations

    5

    h-index

  5. DE
    Daniel E. Quevedo

    University of Newcastle Australia, Australia

    5 publications · 286 citations

    5

    h-index

1–5 of 356

Venues

  1. IEEE Transactions on Information Theory

    10 publications · 1.1K citations

    10

    h-index

  2. IEEE Transactions on Communications

    9 publications · 461 citations

    9

    h-index

  3. IEEE Transactions on Automatic Control

    8 publications · 985 citations

    7

    h-index

  4. Automatica

    3 publications · 104 citations

    3

    h-index

  5. 3

    h-index

1–5