Sampling Schedule Evaluation

Sampling Schedule Evaluation is a methodological framework within sparse sampling analysis that systematically assesses the efficacy and optimality of temporal or spatial sampling patterns to determine their impact on signal reconstruction accuracy and data representativeness.

31

Publications

2.2K

Citations

119

Authors

84

Institutions

Publications per year

2017–2026

2

Authors

119

  1. NS
    N.R. St-Pierre

    The Ohio State University, United States

    2 publications · 38 citations

    2

    h-index

  2. BC
    B. Cobanov

    The Ohio State University, United States

    2 publications · 38 citations

    2

    h-index

  3. PK
    Peter Kletting

    Universität Ulm, Germany

    2 publications · 74 citations

    2

    h-index

  4. GG
    Gerhard Glatting

    Universität Ulm, Germany

    2 publications · 74 citations

    2

    h-index

  5. XW
    Xuefa Wen

    Institute of Geographic Sciences and Natural Resources Research, China

    1 publications · 23 citations

    1

    h-index

1–5 of 119

Venues

  1. Journal of Dairy Science

    JDS · 3 publications · 53 citations

    3

    h-index

  2. Diabetes

    2 publications · 222 citations

    2

    h-index

  3. Malaria Journal

    2 publications · 59 citations

    2

    h-index

  4. PubMed

    Repository · 2 publications · 31 citations

    2

    h-index

  5. 1

    h-index

1–5