Network Congestion Modeling

Network Congestion Modeling is a computational framework that characterizes the dynamics of data packet accumulation and queuing in packet-switched networks by mathematically representing traffic flow, buffer behavior, and link capacity constraints to predict and analyze congestion states.

1.2K

Publications

65.8K

Citations

2.8K

Authors

861

Institutions

Publications per year

2017–2026

205

Authors

2.8K

  1. DT
    Don Towsley

    University of Massachusetts Amherst, United States

    22 publications · 5.5K citations

    18

    h-index

  2. SH
    Steven H. Low

    California Institute of Technology, United States

    20 publications · 1.2K citations

    17

    h-index

  3. VM
    Vishal Misra

    Columbia University, United States

    14 publications · 4K citations

    12

    h-index

  4. EA
    Eitan Altman

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

    12 publications · 398 citations

    11

    h-index

  5. RS
    R. Srikant

    University of Illinois Urbana-Champaign, United States

    13 publications · 803 citations

    11

    h-index

1–5 of 2.8K

Venues

  1. IEEE/ACM Transactions on Networking

    TON · 43 publications · 6K citations

    26

    h-index

  2. Computer Networks

    29 publications · 797 citations

    16

    h-index

  3. IEEE Journal on Selected Areas in Communications

    23 publications · 1.3K citations

    16

    h-index

  4. ACM SIGCOMM Computer Communication Review

    CCR · 21 publications · 4.1K citations

    16

    h-index

  5. IEEE Communications Letters

    17 publications · 538 citations

    15

    h-index

1–5