Temporal Gap Filling

Temporal Gap Filling is a methodological construct in the field of time-series analysis that enables the estimation of missing data points in temporal sequences by leveraging temporal dependencies, distinguishing it from spatial or cross-sectional imputation techniques.

80

Publications

5.1K

Citations

306

Authors

173

Institutions

Publications per year

2017–2026

51

Authors

306

  1. JF
    Jorge Ferigolo

    Museu de Ciências Naturais da Fundação Zoobotânica do Rio Grande do Sul, Brazil

    2 publications · 46 citations

    2

    h-index

  2. MB
    Mathias Berglund

    Aalto University, Finland

    2 publications · 113 citations

    2

    h-index

  3. ZW
    Zhuosen Wang

    Goddard Space Flight Center, United States

    2 publications · 642 citations

    2

    h-index

  4. RC
    Ruyin Cao

    Beijing Normal University, China

    2 publications · 297 citations

    2

    h-index

  5. GP
    Graciela Piñeiro

    Centro Uruguayo de Imagenología Molecular, Uruguay

    2 publications · 46 citations

    2

    h-index

1–5 of 306

Venues

  1. Remote Sensing

    4 publications · 362 citations

    4

    h-index

  2. 4

    h-index

  3. The Science of The Total Environment

    3 publications · 174 citations

    3

    h-index

  4. Journal of Paleontology

    3 publications · 60 citations

    3

    h-index

  5. Remote Sensing of Environment

    3 publications · 1.1K citations

    3

    h-index

1–5