Spectral Density

Spectral Density is a mathematical function that, within the study of stationary processes, characterizes the distribution of power or variance across frequency components in the frequency domain, distinguishing itself as the Fourier transform of the autocovariance function.

3.5K

Publications

211.1K

Citations

7.8K

Authors

2K

Institutions

Publications per year

2017–2026

457

Variants

Spectral Power Density

Authors

7.8K

  1. YC
    Yangjian Cai

    Soochow University, China

    41 publications · 1.6K citations

    24

    h-index

  2. OK
    Olga Korotkova

    University of Miami, United States

    27 publications · 1.5K citations

    22

    h-index

  3. JJ
    J. J. M. Verbaarschot

    Stony Brook University, United States

    22 publications · 2.4K citations

    20

    h-index

  4. DZ
    Daomu Zhao

    Zhejiang University, China

    31 publications · 1K citations

    19

    h-index

  5. EW
    Emil Wolf

    University of Rochester, United States

    25 publications · 1.9K citations

    17

    h-index

1–5 of 7.8K

Venues

  1. Physical Review Letters

    PRL · 123 publications · 12.3K citations

    64

    h-index

  2. The Journal of Chemical Physics

    169 publications · 12.2K citations

    58

    h-index

  3. Physical review. B, Condensed matter

    PRB · 134 publications · 6.8K citations

    46

    h-index

  4. Optics Letters

    75 publications · 3.5K citations

    35

    h-index

  5. Physical Review A

    PRA · 69 publications · 3.6K citations

    34

    h-index

1–5