Optimal Latin-hypercube designs for computer experiments

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Park, Jeong-Soo. “Optimal Latin-Hypercube Designs for Computer Experiments”. Journal of Statistical Planning and Inference, vol. 39, no. 1, 1994, pp. 95-111, https://doi.org/10.1016/0378-3758(94)90115-5.
Park, J.-S. (1994). Optimal Latin-hypercube designs for computer experiments. Journal of Statistical Planning and Inference, 39(1), 95-111. https://doi.org/10.1016/0378-3758(94)90115-5
Park JS. Optimal Latin-hypercube designs for computer experiments. Journal of Statistical Planning and Inference. 1994;39(1):95-111.
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The first research to cite this article was titled An engineering design methodology with multistage Bayesian surrogates and optimal sampling and was published in 1996. The most recent citation comes from a 2024 study titled An engineering design methodology with multistage Bayesian surrogates and optimal sampling . This article reached its peak citation in 2022 , with 38 citations.It has been cited in 204 different journals, 13% of which are open access. Among related journals, the Structural and Multidisciplinary Optimization cited this research the most, with 25 citations. The chart below illustrates the annual citation trends for this article.
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