The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Addressing ten questions about conceptual rainfall–runoff models with global sensitivity analyses in R
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Citations
Cites
Global sensitivity indices for nonlinear mathematical models and their monte carlo estimates
Sobol′, I. M. (2001) · Mathematics and Computers in Simulation · doi:10.1016/s0378-4754(00)00270-6 · Cited by 6,389
Making best use of model evaluations to compute sensitivity indices
Saltelli, A. (2002) · Computer Physics Communications · doi:10.1016/s0010-4655(02)00280-1 · Cited by 2,228
Cited by
Flood inundation modelling: A review of methods, recent advances and uncertainty analysis
Teng, J., Jakeman, A. J., Vaze, J., Croke, B. F. W., Dutta, D., & Kim, S. (2017) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2017.01.006 · Cited by 1,456
Self-citationGlobal Sensitivity Analysis of environmental models: Convergence and validation
Sarrazin, F., Pianosi, F., & Wagener, T. (2016) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2016.02.005 · Cited by 391
Sensitivity analysis methods in the biomedical sciences
Qian, G., & Mahdi, A. (2020) · Mathematical Biosciences · doi:10.1016/j.mbs.2020.108306 · Cited by 169
Metadata
- Authors
- Shin, M.-J., Guillaume, J. H. A., Croke, B. F. W., & Jakeman, A. J.
- Venue
- Journal of Hydrology
- Publisher
- Elsevier BV
- Published
- 2013-10
- Volume
- 503
- Pages
- 135-152
- ISSN
- 0022-1694 (ISSN-L)
- OpenAlex
- W2004903296
- Cited by
- 184
- References
- 2
- FWCI
- 10.41
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Addressing ten questions about conceptual rainfall–runoff models with global sensitivity analyses in R. https://app.cochat.ai/papers/10.1016/j.jhydrol.2013.08.047
- The paper
- Shin, M.-J., Guillaume, J. H. A., Croke, B. F. W., & Jakeman, A. J. (2013). Addressing ten questions about conceptual rainfall–runoff models with global sensitivity analyses in R. Journal of Hydrology. https://doi.org/10.1016/j.jhydrol.2013.08.047
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.
