The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
An effective screening design for sensitivity analysis of large models
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Citations
Cites
A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output
Saltelli, A., Tarantola, S., & Chan, K. P.-S. (1999) · Technometrics · doi:10.1080/00401706.1999.10485594 · Cited by 2,275
Self-citationMaking 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
Self-citationQuantification of modelling uncertainties in a large ensemble of climate change simulations.
Murphy, J. M., Sexton, D. M. H., Barnett, D. N., Jones, G. S., Webb, M. J., Collins, M., & Stainforth, D. A. (2004) · Nature · doi:10.1038/nature02771 · Cited by 1,655
Cited by
Saltelli, A., Annoni, P., Azzini, I., Campolongo, F., Ratto, M., & Tarantola, S. (2010) · Computer Physics Communications · doi:10.1016/j.cpc.2009.09.018 · Cited by 3,623
Self-citationExplainable AI: a review of machine learning interpretability methods
Linardatos, P., Papastefanopoulos, V., & Kotsiantis, S. (2020) · Entropy · doi:10.3390/e23010018 · Cited by 2,922
SALib: An open-source Python library for Sensitivity Analysis
Herman, J., & Usher, W. (2017) · The Journal of Open Source Software · doi:10.21105/joss.00097 · Cited by 1,524
An overview of methods to evaluate uncertainty of deterministic models in decision support
Uusitalo, L., Lehikoinen, A., Helle, I., & Myrberg, K. (2015) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2014.09.017 · Cited by 538
Toward SALib 2.0: Advancing the accessibility and interpretability of global sensitivity analyses
Iwanaga, T., Usher, W., & Herman, J. (2022) · Socio-Environmental Systems Modelling · doi:10.18174/sesmo.18155 · Cited by 367
Metadata
- Authors
- Campolongo, F., Cariboni, J., & Saltelli, A.
- Venue
- Environmental Modelling & Software
- Publisher
- Elsevier BV
- Published
- 2007-10
- Volume
- 22
- Issue
- 10
- Pages
- 1509-1518
- ISSN
- 1364-8152 (ISSN-L)
- OpenAlex
- W2141755357
- Cited by
- 2,011
- References
- 3
- FWCI
- 30.70
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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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.
