Cross-spectral Analysis

Cross-Spectral Analysis is a statistical method that belongs to the class of spectral analysis techniques, distinguished by its capacity to quantify the frequency-domain relationships and coherence between two time series, particularly in identifying phase lags and shared periodicities relevant to orbital forcing in paleoclimatic records.

608

Publications

40.7K

Citations

1.6K

Authors

719

Institutions

Publications per year

2017–2026

94

Authors

1.6K

  1. FG
    F. Gori

    Sapienza University of Rome, Italy

    7 publications · 567 citations

    7

    h-index

  2. MS
    Massimo Santarsiero

    Roma Tre University, Italy

    6 publications · 432 citations

    6

    h-index

  3. TB
    Thirimachos Bourlai

    West Virginia University, United States

    6 publications · 281 citations

    6

    h-index

  4. ÁD
    Ángel D. Sappa

    Computer Vision Center

    5 publications · 235 citations

    5

    h-index

  5. CC
    C. C. Harvey

    Observatoire de Paris, France

    5 publications · 456 citations

    5

    h-index

1–5 of 1.6K

Venues

  1. The Journal of the Acoustical Society of America

    JASA · 27 publications · 1.4K citations

    18

    h-index

  2. Journal of the Atmospheric Sciences

    16 publications · 4.1K citations

    14

    h-index

  3. Journal of Physical Oceanography

    12 publications · 449 citations

    11

    h-index

  4. Optics Letters

    11 publications · 484 citations

    11

    h-index

  5. Annales Geophysicae

    11 publications · 661 citations

    10

    h-index

1–5