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Probabilistic material flow modeling for assessing the environmental exposure to compounds: Methodology and an application to engineered nano-TiO2 particles
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Citations
Cited by
Gottschalk, F., Sonderer, T., Scholz, R. W., & Nowack, B. (2009) · Environmental Science & Technology · doi:10.1021/es9015553 · Cited by 2,388
Self-citationIndustrial production quantities and uses of ten engineered nanomaterials in Europe and the world
Piccinno, F., Gottschalk, F., Seeger, S., & Nowack, B. (2012) · Journal of Nanoparticle Research · doi:10.1007/s11051-012-1109-9 · Cited by 1,280
Self-citationEnvironmental concentrations of engineered nanomaterials: Review of modeling and analytical studies
Gottschalk, F., Sun, T., & Nowack, B. (2013) · Environmental Pollution · doi:10.1016/j.envpol.2013.06.003 · Cited by 1,092
Self-citationProbabilistic Material Flow Analysis of Seven Commodity Plastics in Europe
Kawecki, D., Scheeder, P. R. W., & Nowack, B. (2018) · Environmental Science & Technology · doi:10.1021/acs.est.8b01513 · Cited by 232
Self-citationChen, L., Liu, W., Yang, T., & Nowack, B. (2023) · Resources, Conservation and Recycling · doi:10.1016/j.resconrec.2023.106880 · Cited by 51
Self-citation
Metadata
- Authors
- Gottschalk, F., Scholz, R. W., & Nowack, B.
- Venue
- Environmental Modelling & Software
- Publisher
- Elsevier BV
- Published
- 2010-03
- Volume
- 25
- Issue
- 3
- Pages
- 320-332
- ISSN
- 1364-8152 (ISSN-L)
- OpenAlex
- W2133961344
- Cited by
- 287
- References
- 0
- FWCI
- 12.69
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Probabilistic material flow modeling for assessing the environmental exposure to compounds: Methodology and an application to engineered nano-TiO2 particles. https://app.cochat.ai/papers/10.1016/j.envsoft.2009.08.011
- The paper
- Gottschalk, F., Scholz, R. W., & Nowack, B. (2010). Probabilistic material flow modeling for assessing the environmental exposure to compounds: Methodology and an application to engineered nano-TiO2 particles. Environmental Modelling & Software. https://doi.org/10.1016/j.envsoft.2009.08.011
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.