Real-time Visual Analytics

Real-Time Visual Analytics is a computational framework that integrates interactive visual interfaces with streaming data analysis techniques to enable immediate, iterative interpretation and decision-making in dynamic data environments.

55

Publications

2.4K

Citations

207

Authors

86

Institutions

Publications per year

2017–2026

23

Authors

207

  1. DA
    Daniel A. Keim

    University of Konstanz, Germany

    4 publications · 97 citations

    4

    h-index

  2. MK
    Miloš Krstajić

    University of Konstanz, Germany

    3 publications · 50 citations

    3

    h-index

  3. AS
    Ahmed S. Kaseb

    Purdue University West Lafayette, United States

    2 publications · 176 citations

    2

    h-index

  4. WC
    Wei Chen

    Zhejiang University, China

    2 publications · 198 citations

    2

    h-index

  5. CR
    Christian Rohrdantz

    University of Konstanz, Germany

    2 publications · 32 citations

    2

    h-index

1–5 of 207

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 5 publications · 422 citations

    5

    h-index

  2. IEEE Access

    2 publications · 56 citations

    2

    h-index

  3. IEEE Computer Graphics and Applications

    2 publications · 90 citations

    2

    h-index

  4. Applied Sciences

    2 publications · 23 citations

    2

    h-index

  5. Frontiers of Computer Science

    1 publications · 66 citations

    1

    h-index

1–5