Redshift Distribution Estimation

Redshift Distribution Estimation is a methodological framework within observational cosmology that characterizes the statistical distribution of galaxy redshifts in a survey, distinguishing itself by enabling precise inference of large-scale structure and cosmic evolution through the measurement of photometric or spectroscopic redshift densities.

658

Publications

49.3K

Citations

4.7K

Authors

873

Institutions

Publications per year

2017–2026

173

Variants

Redshift Distribution Inference

Authors

4.7K

  1. EG
    E. Gaztañaga

    Institute of Space Sciences, Spain

    26 publications · 1.8K citations

    24

    h-index

  2. ES
    E. Sánchez

    University of Michigan, United States

    22 publications · 1.6K citations

    20

    h-index

  3. GT
    G. Tarlé

    University of Michigan, United States

    20 publications · 1.4K citations

    19

    h-index

  4. DG
    D. Gruen

    Stanford University, United States

    19 publications · 1.5K citations

    19

    h-index

  5. JC
    J. Carretero

    Institute for High Energy Physics, Spain

    18 publications · 1.3K citations

    18

    h-index

1–5 of 4.7K

Venues

  1. Monthly Notices of the Royal Astronomical Society

    194 publications · 13.2K citations

    63

    h-index

  2. The Astrophysical Journal

    ApJ · 135 publications · 14.4K citations

    54

    h-index

  3. Astronomy and Astrophysics

    66 publications · 5.2K citations

    35

    h-index

  4. The Astronomical Journal

    AJ · 47 publications · 3.3K citations

    31

    h-index

  5. The Astrophysical Journal Supplement Series

    18 publications · 2K citations

    16

    h-index

1–5