Temporal Data Encoding

Temporal Data Encoding is a methodological framework within time-series visualization that systematically represents temporal data through visual variables such that the chronological structure and temporal patterns are preserved and perceptually discernible.

78

Publications

5.8K

Citations

287

Authors

136

Institutions

Publications per year

2017–2026

42

Authors

287

  1. AB
    Ammar Belatreche

    University of Ulster, United Kingdom

    3 publications · 59 citations

    3

    h-index

  2. AV
    Andrea Vedaldi

    University of Oxford, United Kingdom

    2 publications · 269 citations

    2

    h-index

  3. KC
    Kay Chen Tan

    National University of Singapore, Singapore

    2 publications · 54 citations

    2

    h-index

  4. ZH
    Ziniu Hu

    University of California, Los Angeles, United States

    2 publications · 1.3K citations

    2

    h-index

  5. JM
    Jitendra Malik

    University of California, Berkeley, United States

    2 publications · 568 citations

    2

    h-index

1–5 of 287

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 203 citations

    6

    h-index

  2. Optics Express

    3 publications · 89 citations

    3

    h-index

  3. 3

    h-index

  4. Magnetic Resonance in Medicine

    MRM · 2 publications · 91 citations

    2

    h-index

  5. IEEE Transactions on Neural Networks

    2 publications · 256 citations

    2

    h-index

1–5