Sensor Data Visualization

Sensor Data Visualization is a methodological framework within real-time visualization that enables the graphical representation and interpretation of dynamic data streams acquired from physical or environmental sensors, distinguished by its focus on temporally synchronized, continuous, and often high-frequency data monitoring.

100

Publications

2.8K

Citations

383

Authors

146

Institutions

Publications per year

2017–2026

39

Authors

383

  1. DJ
    Daniel James

    Griffith University, Australia

    3 publications · 53 citations

    3

    h-index

  2. MW
    Mark W. Jones

    Swansea University, United Kingdom

    2 publications · 116 citations

    2

    h-index

  3. RD
    Ren‐Jye Dzeng

    National Yang Ming Chiao Tung University, Taiwan

    2 publications · 114 citations

    2

    h-index

  4. CP
    Catia Prandi

    University of Bologna, Italy

    2 publications · 25 citations

    2

    h-index

  5. RŠ
    Radim Štampach

    Masaryk University, Czechia

    2 publications · 58 citations

    2

    h-index

1–5 of 383

Venues

  1. Sensors

    4 publications · 132 citations

    4

    h-index

  2. Computer Graphics Forum

    2 publications · 138 citations

    2

    h-index

  3. Technology and Health Care

    2 publications · 71 citations

    2

    h-index

  4. Environmental Modelling & Software

    2 publications · 37 citations

    2

    h-index

  5. Computers and Electronics in Agriculture

    2 publications · 93 citations

    2

    h-index

1–5