Cross-matching Algorithms

Cross-Matching Algorithms is a computational method in astrometric survey design that identifies and associates celestial source detections across disparate observational datasets by minimizing positional and attribute-based discrepancies, distinguished from other data association techniques through its domain-specific adaptation to astrometric uncertainties, coordinate systems, and survey-specific biases.

30

Publications

8.5K

Citations

670

Authors

172

Institutions

Publications per year

2017–2026

17

Authors

670

  1. CF
    C. Fabricius

    Universitat de Barcelona, Spain

    7 publications · 6.5K citations

    7

    h-index

  2. UB
    U. Bastian

    Heidelberg University, Germany

    6 publications · 6.3K citations

    6

    h-index

  3. JT
    J. Torra

    Universitat de Barcelona, Spain

    5 publications · 5.3K citations

    5

    h-index

  4. UL
    U. Lammers

    European Space Astronomy Centre, Spain

    5 publications · 2.4K citations

    5

    h-index

  5. CJ
    C. Jordi

    Universitat de Barcelona, Spain

    5 publications · 5.3K citations

    5

    h-index

1–5 of 670

Venues

  1. Astronomy and Astrophysics

    8 publications · 7.5K citations

    8

    h-index

  2. 3

    h-index

  3. The Astrophysical Journal Supplement Series

    2 publications · 157 citations

    2

    h-index

  4. Publications of the Astronomical Society of the Pacific

    PASP · 1 publications · 21 citations

    1

    h-index

  5. Open Astronomy

    1 publications · 11 citations

    1

    h-index

1–5