The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Global sensitivity measures from given data
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Citations
Cites
Sampling-based approaches to calculating marginal densities
Gelfand, A. E., & Smith, A. F. M. (1990) · Journal of the American Statistical Association · doi:10.1080/01621459.1990.10476213 · Cited by 6,606
Global Sensitivity Analysis. The Primer
Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., Saisana, M., & Tarantola, S. (2007) · doi:10.1002/9780470725184 · Cited by 6,430
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
A leisurely look at the bootstrap, the jackknife, and cross-validation
Efron, B., & Gong, G. (1983) · The American Statistician · doi:10.1080/00031305.1983.10483087 · Cited by 3,229
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
Explainable 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
A Review of Explainable Artificial Intelligence in Healthcare
Sadeghi, Z., Alizadehsani, R., CIFCI, M. A., Kausar, S., Rehman, R., Mahanta, P., Bora, P. K., Almasri, A., Alkhawaldeh, R. S., Hussain, S., et al. (2024) · Computers and Electrical Engineering · doi:10.1016/j.compeleceng.2024.109370 · Cited by 598
Contribution of the Greenland Ice Sheet to sea level over the next millennium
Aschwanden, A., Fahnestock, M. A., Truffer, M., Brinkerhoff, D. J., Hock, R., Khroulev, C., Mottram, R., & Khan, S. A. (2019) · Science Advances · doi:10.1126/sciadv.aav9396 · Cited by 398
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
- Plischke, E., Borgonovo, E., & Smith, C. L.
- Venue
- European Journal of Operational Research
- Publisher
- Elsevier BV
- Published
- 2013-05
- Volume
- 226
- Issue
- 3
- Pages
- 536-550
- ISSN
- 0377-2217 (ISSN-L)
- OpenAlex
- W1979362125
- Cited by
- 429
- References
- 5
- FWCI
- 18.39
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Global sensitivity measures from given data. https://app.cochat.ai/papers/10.1016/j.ejor.2012.11.047
- The paper
- Plischke, E., Borgonovo, E., & Smith, C. L. (2013). Global sensitivity measures from given data. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2012.11.047
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.
