Spatiotemporal Data Visualization

Spatiotemporal Data Visualization is a visual representation method that integrates both spatial and temporal dimensions to enable the analysis and interpretation of data that varies across geographic locations and time.

164

Publications

7.3K

Citations

549

Authors

255

Institutions

Publications per year

2017–2026

40

Authors

549

  1. GA
    Gennady Andrienko

    Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany

    10 publications · 1.8K citations

    10

    h-index

  2. NA
    Natalia Andrienko

    Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany

    10 publications · 1.8K citations

    10

    h-index

  3. CT
    Christian Tominski

    University of Rostock, Germany

    6 publications · 917 citations

    6

    h-index

  4. RM
    Ross Maciejewski

    Arizona State University, United States

    6 publications · 302 citations

    6

    h-index

  5. MK
    M.J. Kraak

    University of Twente, Netherlands

    5 publications · 523 citations

    5

    h-index

1–5 of 549

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 17 publications · 1.3K citations

    17

    h-index

  2. IEEE Computer Graphics and Applications

    6 publications · 254 citations

    6

    h-index

  3. 5

    h-index

  4. Information Visualization

    5 publications · 299 citations

    5

    h-index

  5. Computer Graphics Forum

    4 publications · 322 citations

    4

    h-index

1–5