Statistical Source Attribution

Statistical Source Attribution is a methodological framework within source identification that uses probabilistic and statistical models to infer the likely origin of data, observations, or content by quantifying the degree of association between outputs and potential sources based on empirical or modeled source characteristics.

13

Publications

623

Citations

69

Authors

30

Institutions

Publications per year

2017–2026

5

Authors

69

  1. GV
    Gabriele Villarini

    University of Iowa, United States

    2 publications · 92 citations

    2

    h-index

  2. LS
    Louise Slater

    University of Oxford, United Kingdom

    1 publications · 65 citations

    1

    h-index

  3. KE
    Keith E. Schilling

    United States Geological Survey, United States

    1 publications · 27 citations

    1

    h-index

  4. YL
    Ying Liu

    China University of Mining and Technology, China

    1 publications · 15 citations

    1

    h-index

  5. GR
    Gholam-Reza Rafiee

    University of Tehran, Iran

    1 publications · 17 citations

    1

    h-index

1–5 of 69

Venues

  1. Environmental Science and Pollution Research

    ESPR · 3 publications · 246 citations

    3

    h-index

  2. Environmental Monitoring and Assessment

    2 publications · 117 citations

    2

    h-index

  3. Eurosurveillance

    1 publications · 38 citations

    1

    h-index

  4. Journal of Geophysical Research Space Physics

    1 publications · 50 citations

    1

    h-index

  5. Applied Acoustics

    1 publications · 22 citations

    1

    h-index

1–5