250 citations as recorded by crossref.

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41. A non-stationary cost-benefit based bivariate extreme flood estimation approach W. Qi & J. Liu https://doi.org/10.1016/j.jhydrol.2017.12.045
42. Study on the Joint Probability Distribution of Hydrodynamic Conditions in Xiamen Bay Based on Copula Functions X. Lin et al. https://doi.org/10.3390/jmse14040404
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45. Investigating Flood Risks of Rainfall and Storm Tides Affected by the Parameter Estimation Coupling Bivariate Statistics and Hydrodynamic Models in the Coastal City H. Xu et al. https://doi.org/10.3390/ijerph191912592
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51. Compound dry and hot events over major river basins of the world from 1921 to 2020 T. Zhao et al. https://doi.org/10.1016/j.wace.2024.100679
52. Safety design for rivers-connected lake flood control based on Copula function: A case study of Lake Hongze L. Yun et al. https://doi.org/10.18307/2021.0320
53. Floods and droughts: a multivariate perspective M. Brunner https://doi.org/10.5194/hess-27-2479-2023
54. Spatially distributed bivariate meteorological drought analysis using copula technique in a semi-arid river basin of West Bengal, India S. Aon & S. Biswas https://doi.org/10.1007/s00704-023-04790-w
55. A satellite-based Standardized Antecedent Precipitation Index (SAPI) for mapping extreme rainfall risk in Myanmar T. Nguyen-Huy et al. https://doi.org/10.1016/j.rsase.2022.100733
56. Using copula method for pipe data analysis F. Atique & N. Attoh-Okine https://doi.org/10.1016/j.conbuildmat.2015.12.027
57. Urbanization’s dual role in the exacerbation and mitigation of drought dynamics in China K. Alsafadi et al. https://doi.org/10.1038/s42949-025-00267-z
58. Joint distribution of design precipitation and tide and impact of sampling in a coastal area X. Tu et al. https://doi.org/10.1002/joc.5368
59. Copula-based joint distribution modelling of precipitation, temperature and humidity events in the assessments of agricultural risks, with a case study in Morocco S. Latif et al. https://doi.org/10.1007/s00477-025-03047-4
60. Multivariate Flood Frequency Analysis in Large River Basins Considering Tributary Impacts and Flood Types S. Fischer & A. Schumann https://doi.org/10.1029/2020WR029029
61. Archimedean copula-based bivariate flood-frequency analysis on Sukkur, Pakistan S. Naz et al. https://doi.org/10.1007/s12517-020-5223-1
62. The testing of a multivariate probabilistic framework for reservoir safety evaluation and flood risks assessment in Slovakia: A study on the Parná and Belá Rivers R. Výleta et al. https://doi.org/10.2478/johh-2023-0027
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72. Design water demand of irrigation for a large region using a high-dimensional Gaussian copula X. Tu et al. https://doi.org/10.5194/hess-22-5175-2018
73. Dynamic copula Bayesian network predictive model for assessing the impact of initiative programs on child undernutrition in Ethiopia, 2009–2016 G. Begashaw et al. https://doi.org/10.1186/s12889-025-25928-7
74. Nonstationary Flood Frequency Analysis Using Univariate and Bivariate Time-Varying Models Based on GAMLSS T. Zhang et al. https://doi.org/10.3390/w10070819
75. A factorial Bayesian copula framework for partitioning uncertainties in multivariate risk inference Y. Fan et al. https://doi.org/10.1016/j.envres.2020.109215
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82. Dealing with uncertainty in the probability of overtopping of a flood mitigation dam E. Michailidi & B. Bacchi https://doi.org/10.5194/hess-21-2497-2017
83. Multivariate Analysis of Compound Flood Hazard Across Canada's Atlantic, Pacific and Great Lakes Coastal Areas F. Jalili Pirani & M. Najafi https://doi.org/10.1029/2022EF002655
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