Multi-source Mixing Models
Multi-Source Mixing Models is a quantitative analytical framework used in environmental isotope and tracer studies that estimates the proportional contributions of multiple distinct sources to a mixed environmental sample by solving mass balance equations based on conserved indicators.
95
Publications
12.3K
Citations
362
Authors
185
Institutions
Publications per year
2017–2026
31
Parents
95
Source Partitioning Using Stable Isotopes: Coping with Too Much Variation
Andrew Parnell, Richard Inger, Stuart Bearhop et al. · PLoS ONE · 2010 · 2.9K citations · Full text
Bayesian stable isotope mixing models
Andrew Parnell, Donald L. Phillips, Stuart Bearhop et al. · Environmetrics · 2013 · 1.1K citations
P. G. Whitehead, Elizabeth J. Wilson, D. A. Butterfield · The Science of The Total Environment · 1998 · 389 citations
Juan Antonio Torres-Martínez, Abrahan Mora, Peter S.K. Knappett et al. · Water Research · 2020 · 376 citations · Full text
1–5 of 95
362
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NOAA National Marine Fisheries Service Northwest Fisheries Science Center, United States
3 publications · 1.3K citations
3
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3
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3
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1–5 of 362
185
Environmental Protection Agency
Washington, United States
4 h-index
5 publications
3.2K citations

Chinese Academy of Sciences
Beijing, China
4 h-index
13 publications
915 citations
NOAA National Marine Fisheries Service
Silver Spring, United States
4 h-index
7 publications
1.8K citations

University of Exeter
Exeter, United Kingdom
3 h-index
8 publications
8K citations
University of Washington
Seattle, United States
3 h-index
6 publications
592 citations
University of California, Santa Cruz
Santa Cruz, United States
3 h-index
3 publications
1K citations
National Institute of Environmental Research
Incheon, South Korea
3 h-index
27 publications
1.6K citations
National Oceanic and Atmospheric Administration
Washington, United States
3 h-index
6 publications
1.6K citations
1–8 of 185
8 publications · 522 citations
8
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6 publications · 655 citations
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5 publications · 411 citations
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4 publications · 497 citations
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JGR · 4 publications · 362 citations
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