Source Attribution Modeling

Source Attribution Modeling is a computational framework that identifies and quantifies the contribution of individual sources to a given data sample or outcome by integrating probabilistic inference and lineage tracking within a structured provenance graph.

164

Publications

10.3K

Citations

803

Authors

365

Institutions

Publications per year

2017–2026

94

Authors

803

  1. TH
    Tine Hald

    Technical University of Denmark, Denmark

    8 publications · 397 citations

    9

    h-index

  2. NF
    Nigel French

    Massey University, New Zealand

    5 publications · 287 citations

    6

    h-index

  3. TB
    Tim Butler

    Research Institute for Sustainability at GFZ, Germany

    5 publications · 272 citations

    5

    h-index

  4. SK
    Samuel K. Sheppard

    University of Oxford, United Kingdom

    4 publications · 303 citations

    4

    h-index

  5. AL
    Aurelia Lupaşcu

    Research Institute for Sustainability at GFZ, Germany

    4 publications · 246 citations

    4

    h-index

1–5 of 803

Venues

  1. Atmospheric Environment

    14 publications · 3.1K citations

    13

    h-index

  2. The Science of The Total Environment

    9 publications · 483 citations

    9

    h-index

  3. Epidemiology and Infection

    7 publications · 305 citations

    7

    h-index

  4. Atmospheric chemistry and physics

    6 publications · 790 citations

    7

    h-index

  5. Frontiers in Microbiology

    5 publications · 353 citations

    5

    h-index

1–5