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Cited by 2,011

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Importance measures in global sensitivity analysis of nonlinear models

Homma, Toshimitsu, Saltelli, Andrea·1996·Reliability Engineering & System Safety
DOI 10.1016/0951-8320(96)00002-6
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Citations

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Research works printed but not linked: 28

  1. Helton, 1989, Uncertainty and sensitivity analysis of a dry containment test problem for the MAEROS aerosol model, Nucl. Sci. & Engng, 102, 22, 10.13182/NSE89-A23629 · DOI
  2. Helton, 1992, An exploratory sensitivity study with the MACCS reactor accident consequence model, Reliab. Engng System Safety, 36, 137, 10.1016/0951-8320(92)90095-3 · DOI
  3. Helton, 1993, Uncertainty and sensitivity analysis results obtained in a preliminary performance assessment for the waste isolation pilot plant, Nucl. Sci. & Engng, 114, 286, 10.13182/NSE93-A24041 · DOI
  4. Rabitz, 1989, System analysis at molecular scale, Sci., 246, 221, 10.1126/science.246.4927.221 · DOI
  5. Helton, 1993, Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal, Reliab. Engng System Safety, 42, 327, 10.1016/0951-8320(93)90097-I · DOI · Paper page
  6. Welch, 1992, Screening, predicting, and computer experiments, Technometrics, 34, 15, 10.2307/1269548 · DOI · Paper page
  7. Saltelli, 1995, Sensitivity analysis of model output; performance of the iterated fractional factorial design (IFFD) method, Computational Stat. & Data Anal., 20, 387, 10.1016/0167-9473(95)92843-M · DOI
  8. Cawlfield, 1993, Probabilistic sensitivity analysis for one-dimensional reactive transport in porous media, Water Resources Res., 29, 661, 10.1029/92WR01948 · DOI
  9. Koda, 1992, Sensitivity analysis of stochastic dynamical systems, Int. J. System Sci., 23, 2187, 10.1080/00207729208949448 · doi:10.1080/00207729208949448
  10. Iman, 1988, An investigation of uncertainty and sensitivity analysis techniques for computer models, Risk Anal., 8, 71, 10.1111/j.1539-6924.1988.tb01155.x · DOI · Paper page
  11. Saltelli, 1992, Sensitivity analysis for model output; performance of black box techniques on three international benchmark exercises, Computational Stat. & Data Anal., 13, 73, 10.1016/0167-9473(92)90155-9 · DOI
  12. Saltelli, 1993, Sensitivity analysis of model output; an investigation of new techniques, Computational Stat. & Data Anal., 15, 211, 10.1016/0167-9473(93)90193-W · DOI
  13. Iman, 1990, A robust measure of uncertainty importance for use in fault tree system analysis, Risk Anal., 10, 401, 10.1111/j.1539-6924.1990.tb00523.x · DOI · Paper page
  14. Homma, 1995, Use of Sobol's quasirandom sequence generator for integration of modified uncertainty importance measure, J. Nucl. Sci. Tech., 32, 1164, 10.3327/jnst.32.1164 · doi:10.3327/jnst.32.1164
  15. Sobol', 1993, Sensitivity estimates for nonlinear mathematical models, Math. Modeling & Computational Experiment, 1, 407
  16. Cukier, 1973, Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients I: Theory, J. Chemical Physics, 59, 3873, 10.1063/1.1680571 · DOI · Paper page
  17. Schaibly, 1973, Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients II: Applications, J. Chemical Physics, 59, 3879, 10.1063/1.1680572 · DOI · Paper page
  18. Cukier, 1978, Nonlinear sensitivity analysis of multiparameter model systems, J. Computational Physics, 26, 1, 10.1016/0021-9991(78)90097-9 · DOI · Paper page
  19. Sacks, 1989, Design and analysis of computer experiments, Stat. Sci., 4, 409, 10.1214/ss/1177012413 · DOI · Paper page
  20. Liepman, 1985, Development and global sensitivity analysis of a closed ecosystem model, Ecological Modelling, 30, 13, 10.1016/0304-3800(85)90035-3 · DOI
  21. Sobol', 1976, Uniformly distributed sequences with an additional uniform property, USSR Computational Math. & Math. Physics, 16, 236, 10.1016/0041-5553(76)90154-3 · DOI · Paper page
  22. Sobol', 1990, Quasi-Monte-Carlo methods, Progress in Nucl. Energy, 24, 55, 10.1016/0149-1970(90)90022-W · doi:10.1016/0149-1970(90)90022-w
  23. Morris, 1991, Factorial sampling plans for preliminary computational experiments, Technometrics, 33, 161, 10.2307/1269043 · DOI
  24. McKay, 1979, A comparison of three methods for selecting values of input variables in the analysis of output from a computer code, Technometrics, 21, 239, 10.2307/1268522 · DOI · Paper page
  25. Bratley, 1988, Algorithm 659, implementing Sobol's quasirandom sequence generator, ACM Trans. Math. Software, 14, 88, 10.1145/42288.214372 · DOI
  26. Cotter, 1979, A screening design for factorial experiments with interactions, Biometrika, 66, 317, 10.1093/biomet/66.2.317 · DOI
  27. Saltelli, 1995, Uncertainty and sensitivity analyses of dimethylsulphide (DMS) oxidation kinetics, J. Atmospheric Chem., 21, 187, 10.1007/BF00696755 · DOI
  28. Robinson, 1987, Exact solutions for radionuclide transport in the presence of parameter uncertainty, Radioactive waste management and the nuclear fuel cycle, 8, 283

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Metadata

Authors
Homma, T., & Saltelli, A.
Venue
Reliability Engineering & System Safety
Publisher
Elsevier BV
Published
1996-04
Volume
52
Issue
1
Pages
1-17
ISSN
0951-8320 (ISSN-L)
DOI
10.1016/0951-8320(96)00002-6
OpenAlex
W2026645785
Cited by
2,011
References
1
FWCI
9.03
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

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CoChat. (2026). Citation check: Importance measures in global sensitivity analysis of nonlinear models. https://app.cochat.ai/papers/10.1016/0951-8320(96)00002-6
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Homma, T., & Saltelli, A. (1996). Importance measures in global sensitivity analysis of nonlinear models. Reliability Engineering & System Safety. https://doi.org/10.1016/0951-8320(96)00002-6

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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.