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
Parents
164
Amit Kumar, Deepak Singh, Krishan Kumar et al. · The Science of The Total Environment · 2017 · 222 citations
Natural Sciences, Earth Sciences, Environmental Sciences +17
1–5 of 164
803
9
h-index
6
h-index
5
h-index
4
h-index
4
h-index
1–5 of 803
365

Chinese Academy of Sciences
Beijing, China
10 h-index
34 publications
1.2K citations
Technical University of Denmark
Kongens Lyngby, Denmark
10 h-index
30 publications
1.6K citations
National Institute for Public Health and the Environment
De Bilt, The Netherlands
7 h-index
17 publications
1.2K citations
Utrecht University
Utrecht, The Netherlands
7 h-index
10 publications
490 citations

Massey University
Palmerston North, New Zealand
7 h-index
17 publications
1.2K citations
Statens Serum Institut
Copenhagen, Denmark
6 h-index
8 publications
337 citations
Freie Universität Berlin
Berlin, Germany
5 h-index
9 publications
400 citations
Research Institute for Sustainability at GFZ
Potsdam, Germany
5 h-index
11 publications
746 citations
1–8 of 365
14 publications · 3.1K citations
13
h-index
9 publications · 483 citations
9
h-index
7 publications · 305 citations
7
h-index
6 publications · 790 citations
7
h-index
5 publications · 353 citations
5
h-index
1–5