Infrastructure Data Visualization

Infrastructure Data Visualization is a scholarly methodological construct that enables the systematic representation and interpretation of physical and digital infrastructure systems through visual means to facilitate analysis, communication, and decision-making in academic and applied contexts.

10

Publications

234

Citations

44

Authors

21

Institutions

Publications per year

2017–2026

5

Authors

44

  1. WJ
    William J. Tolone

    University of North Carolina at Charlotte, United States

    2 publications · 38 citations

    2

    h-index

  2. XW
    Xiaoyu Wang

    Tsinghua University, China

    1 publications · 19 citations

    1

    h-index

  3. WR
    William Ribarsky

    University of North Carolina at Charlotte, United States

    1 publications · 19 citations

    1

    h-index

  4. MW
    Min-Hsien Weng

    University of Waikato, New Zealand

    1 publications · 23 citations

    1

    h-index

  5. DT
    Dennis Thom

    University of Stuttgart, Germany

    1 publications · 19 citations

    1

    h-index

1–5 of 44

Venues

  1. Advanced Engineering Informatics

    1 publications · 20 citations

    1

    h-index

  2. The Journal of Supercomputing

    1 publications · 15 citations

    1

    h-index

  3. Sustainability

    1 publications · 29 citations

    1

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5