Dark Matter Mapping

Dark Matter Mapping is a computational and statistical method in observational astrophysics that infers the spatial distribution of dark matter in the universe by analyzing gravitational lensing effects, galaxy dynamics, and large-scale structure data to distinguish regions of dark matter concentration from baryonic matter distributions.

215

Publications

24.7K

Citations

3.1K

Authors

668

Institutions

Publications per year

2017–2026

85

Authors

3.1K

  1. EG
    E. Gaztañaga

    Institute of Space Sciences, Spain

    10 publications · 951 citations

    10

    h-index

  2. JS
    Jean‐Luc Starck

    Commissariat à l'Énergie Atomique et aux Énergies Alternatives, France

    9 publications · 1.2K citations

    9

    h-index

  3. JC
    J. Carretero

    Institute for High Energy Physics, Spain

    8 publications · 798 citations

    8

    h-index

  4. AR
    Alexandre Réfrégier

    ETH Zurich, Switzerland

    8 publications · 857 citations

    8

    h-index

  5. FV
    Francisco Villaescusa-Navarro

    Flatiron Health (United States), United States

    8 publications · 680 citations

    8

    h-index

1–5 of 3.1K

Venues

  1. 27

    h-index

  2. The Astrophysical Journal

    ApJ · 35 publications · 9.9K citations

    25

    h-index

  3. arXiv (Cornell University)

    Repository · 13 publications · 558 citations

    12

    h-index

  4. Astronomy and Astrophysics

    9 publications · 864 citations

    9

    h-index

  5. Physical review. D/Physical review. D.

    PRD · 8 publications · 346 citations

    8

    h-index

1–5