Magnetic Data Interpolation

Magnetic Data Interpolation is a computational method used in geomagnetic observatory science to estimate missing or unmeasured magnetic field values at specific times or locations by exploiting the spatial and temporal continuity inherent in geomagnetic time series data.

23

Publications

840

Citations

79

Authors

45

Institutions

Publications per year

2017–2026

5

Authors

79

  1. HD
    Haobin Dong

    China University of Geosciences, China

    2 publications · 84 citations

    2

    h-index

  2. HL
    Huan Liu

    China University of Geosciences, China

    2 publications · 84 citations

    2

    h-index

  3. RS
    Richard S. Smith

    Laurentian University, Canada

    2 publications · 57 citations

    2

    h-index

  4. RL
    Robert L. Parker

    Scripps Institution of Oceanography, United States

    2 publications · 66 citations

    2

    h-index

  5. YH
    Y. Holler

    Petersburg Nuclear Physics Institute, Russia

    1 publications · 11 citations

    1

    h-index

1–5 of 79

Venues

  1. Geophysics

    6 publications · 186 citations

    6

    h-index

  2. Journal of Geophysical Research Atmospheres

    JGR · 2 publications · 116 citations

    2

    h-index

  3. Frontiers in Earth Science

    1 publications · 24 citations

    1

    h-index

  4. IEEE Access

    1 publications · 16 citations

    1

    h-index

  5. Space Weather

    1 publications · 56 citations

    1

    h-index

1–5