Data Reduction

Data Reduction is a data processing technique that belongs to the class of preprocessing methods in observational sciences, specifically distinguished by its function of transforming raw, high-volume observational data into a simplified, calibrated, and analyzable form through noise removal, error correction, and dimensionality minimization while preserving essential astronomical information.

3.3K

Publications

280.3K

Citations

12.3K

Authors

2.6K

Institutions

Publications per year

2017–2026

944

Authors

12.3K

  1. GD
    G. de Zotti

    Osservatorio Astronomico di Padova, Italy

    36 publications · 22K citations

    34

    h-index

  2. RB
    R. B. Barreiro

    Universidad de Cantabria, Spain

    34 publications · 21.9K citations

    34

    h-index

  3. MR
    M. Remazeilles

    University of Manchester, United Kingdom

    35 publications · 21.8K citations

    34

    h-index

  4. DS
    D. Scott

    University of British Columbia, Canada

    34 publications · 22.1K citations

    34

    h-index

  5. MD
    M. Douspis

    Centre National de la Recherche Scientifique, France

    35 publications · 21.7K citations

    33

    h-index

1–5 of 12.3K

Venues

  1. Astronomy and Astrophysics

    114 publications · 31.1K citations

    60

    h-index

  2. Monthly Notices of the Royal Astronomical Society

    102 publications · 7.5K citations

    49

    h-index

  3. Publications of the Astronomical Society of the Pacific

    PASP · 52 publications · 6.7K citations

    30

    h-index

  4. arXiv (Cornell University)

    Repository · 64 publications · 2.7K citations

    27

    h-index

  5. The Astrophysical Journal

    ApJ · 34 publications · 3K citations

    27

    h-index

1–5