Traffic Visualization

Traffic Visualization is a methodological construct in network traffic analysis that employs graphical representation techniques to transform complex traffic data into visual formats, enabling intuitive perception of patterns, anomalies, and behavioral dynamics within network flows.

252

Publications

9.9K

Citations

782

Authors

309

Institutions

Publications per year

2017–2026

44

Authors

782

  1. JR
    John R. Goodall

    Oak Ridge National Laboratory, United States

    7 publications · 253 citations

    7

    h-index

  2. KM
    Kwan‐Liu Ma

    University of California, Davis, United States

    7 publications · 357 citations

    7

    h-index

  3. FM
    Florian Mansmann

    University of Konstanz, Germany

    6 publications · 298 citations

    6

    h-index

  4. CN
    Chris North

    Virginia Tech, United States

    6 publications · 260 citations

    6

    h-index

  5. GF
    Glenn Fink

    Pacific Northwest National Laboratory, United States

    5 publications · 234 citations

    5

    h-index

1–5 of 782

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 15 publications · 1.5K citations

    15

    h-index

  2. IEEE Computer Graphics and Applications

    7 publications · 241 citations

    7

    h-index

  3. 5

    h-index

  4. 4

    h-index

  5. 4

    h-index

1–5