Visualization Of Electoral Data

Visualization of Electoral Data is a systematic method for representing electoral outcomes, patterns, and processes through graphical means to enhance the interpretation, analysis, and communication of spatially referenced voting behaviors and political dynamics.

29

Publications

951

Citations

64

Authors

31

Institutions

Publications per year

2017–2026

7

Authors

64

  1. RP
    Rachit Pabreja

    City University of New York, United States

    2 publications · 83 citations

    2

    h-index

  2. NS
    Nitesh Sharma

    University of Milano-Bicocca, Italy

    2 publications · 83 citations

    2

    h-index

  3. SA
    Soon Ae Chun

    City University of New York, United States

    2 publications · 83 citations

    2

    h-index

  4. NH
    Neil H. Spencer

    University of Hertfordshire, United Kingdom

    2 publications · 30 citations

    2

    h-index

  5. VA
    Vijayalakshmi Atluri

    Rutgers, The State University of New Jersey, United States

    2 publications · 83 citations

    2

    h-index

1–5 of 64

Venues

  1. Choice Reviews Online

    CRO · 3 publications · 195 citations

    3

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 92 citations

    3

    h-index

  3. Party Politics

    2 publications · 108 citations

    2

    h-index

  4. Digital Government Research and Practice

    DGOV · 1 publications · 44 citations

    1

    h-index

  5. Journal of Maps

    JoM · 1 publications · 69 citations

    1

    h-index

1–5