Traffic Pattern Analysis

Traffic Pattern Analysis is a methodological framework within network performance evaluation that characterizes the spatial and temporal behavior of data flows in a network to identify congestion points, optimize routing strategies, and inform architectural design in Crossbar Networks, Network Troubleshooting, and Network-on-Chip systems.

1.5K

Publications

78.5K

Citations

4.1K

Authors

1.2K

Institutions

Publications per year

2017–2026

355

Authors

4.1K

  1. AP
    Antonio Pescapè

    University of Naples Federico II, Italy

    13 publications · 624 citations

    12

    h-index

  2. WW
    Walter Willinger

    AT&T (United States), United States

    12 publications · 8.7K citations

    11

    h-index

  3. JR
    Jennifer Rexford

    Princeton University, United States

    9 publications · 474 citations

    9

    h-index

  4. GV
    Giorgio Ventre

    University of Naples Federico II, Italy

    9 publications · 380 citations

    9

    h-index

  5. TV
    T. V. Lakshman

    Nokia (United States), United States

    8 publications · 1.1K citations

    8

    h-index

1–5 of 4.1K

Venues

  1. IEEE/ACM Transactions on Networking

    TON · 27 publications · 7.8K citations

    24

    h-index

  2. ACM SIGCOMM Computer Communication Review

    CCR · 27 publications · 3.1K citations

    23

    h-index

  3. IEEE Journal on Selected Areas in Communications

    19 publications · 1.6K citations

    16

    h-index

  4. Computer Networks

    20 publications · 981 citations

    14

    h-index

  5. IEEE Transactions on Network and Service Management

    TNSM · 16 publications · 654 citations

    14

    h-index

1–5