Visual Analytics For Streams

Visual Analytics for Streams is a computational framework that integrates interactive visualization and analytical methods to enable real-time sensemaking of high-velocity, continuous data flows by supporting iterative human-in-the-loop exploration and decision-making.

31

Publications

1.5K

Citations

113

Authors

48

Institutions

Publications per year

2017–2026

9

Authors

113

  1. DA
    Daniel A. Keim

    University of Konstanz, Germany

    4 publications · 134 citations

    4

    h-index

  2. FF
    Fabian Fischer

    University of Konstanz, Germany

    3 publications · 97 citations

    3

    h-index

  3. CR
    Christian Rohrdantz

    University of Konstanz, Germany

    3 publications · 75 citations

    3

    h-index

  4. WC
    Weiwei Cui

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 139 citations

    2

    h-index

  5. KC
    Kelei Cao

    Tsinghua University, China

    2 publications · 120 citations

    2

    h-index

1–5 of 113

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 4 publications · 492 citations

    4

    h-index

  2. Computer Graphics Forum

    3 publications · 124 citations

    3

    h-index

  3. Proceedings of the VLDB Endowment

    PVLDB · 1 publications · 11 citations

    1

    h-index

  4. IEEE Computer Graphics and Applications

    1 publications · 37 citations

    1

    h-index

  5. ACM Transactions on Intelligent Systems and Technology

    TIST · 1 publications · 43 citations

    1

    h-index

1–5