11 citations as recorded by crossref.

1. Consistency and normality of estimates of hydrological extremes derived from a model for fragmented data R. Clarke https://doi.org/10.1016/j.jhydrol.2007.09.010
2. Problems in the extreme value analysis L. Makkonen https://doi.org/10.1016/j.strusafe.2006.12.001
3. Bringing Closure to the Plotting Position Controversy L. Makkonen https://doi.org/10.1080/03610920701653094
4. Impact of dependence in river flow data on flood frequency analysis based on regression in quantile plots: Analysis and solutions E. Boniphace & P. Willems https://doi.org/10.1029/2010WR010160
5. Quantifying the Rarity of Extreme Wildfires: Translating Fire Size into Return Period Using Extreme Value Theory Methods N. Koutsias & F. Coutelieris https://doi.org/10.1007/s10666-025-10048-8
6. Reply L. Makkonen https://doi.org/10.1175/JAM2472.1
7. Advancement of Intensity Duration Frequency (IDF) Curve Through Possible Probability Distribution Method Using Disaggregated Precipitation Data; The Case of Wolkite, Ethiopia M. Agza et al. https://doi.org/10.11648/j.ajwse.20251102.13
8. Defining Sample Quantiles by the True Rank Probability L. Makkonen & M. Pajari https://doi.org/10.1155/2014/326579
9. Rebuttal of “Problems in the extreme value analysis” N. Cook https://doi.org/10.1016/j.strusafe.2011.08.002
10. Comparison of methods for analysis of extremes when records are fragmented: A case study using Amazon basin rainfall data R. Clarke et al. https://doi.org/10.1016/j.jhydrol.2009.01.025
11. Review of rainfall frequency estimation methods C. Svensson & D. Jones https://doi.org/10.1111/j.1753-318X.2010.01079.x