60 citations as recorded by crossref.

1. Extreme value analysis for waves in the Persian Gulf: Skill assessment of different methods for a fetch-limited basin A. Naderi & S. Siadatmousavi https://doi.org/10.1016/j.rsma.2023.102812
2. Stochastic generation of multi-site daily precipitation for applications in risk management K. Breinl et al. https://doi.org/10.1016/j.jhydrol.2013.06.015
3. Improving design precipitation estimates by combining estimates from high-resolution adjusted radar data and long-term ombrographic measurements M. Kašpar et al. https://doi.org/10.1016/j.atmosres.2025.108557
4. Multiscale Spatial and Temporal Statistical Properties of Rainfall in Central Arizona G. Mascaro https://doi.org/10.1175/JHM-D-16-0167.1
5. Modelling Dry Spells by Extreme Value Distribution with Bayesian Inference K. Cindrić & Z. Pasarić https://doi.org/10.1007/s00024-018-2007-6
6. Comparing Extreme Value Estimation Techniques for Short-Term Snow Accumulations K. Pomeyie et al. https://doi.org/10.6339/23-JDS1086
7. Square Error Method for threshold estimation in extreme value analysis of wave heights F. Silva-González et al. https://doi.org/10.1016/j.oceaneng.2017.03.028
8. Generalized Pareto Processes and Liquidity S. Desmettre et al. https://doi.org/10.2139/ssrn.2922085
9. Deep graphical regression for jointly moderate and extreme Australian wildfires D. Cisneros et al. https://doi.org/10.1016/j.spasta.2024.100811
10. A New Parameter Estimator for the Generalized Pareto Distribution under the Peaks over Threshold Framework X. Zhao et al. https://doi.org/10.3390/math7050406
11. A simple approximation to multifractal rainfall maxima using a generalized extreme value distribution model A. Langousis et al. https://doi.org/10.1007/s00477-013-0687-0
12. Generalized Pareto processes and fund liquidity risk S. Desmettre et al. https://doi.org/10.1080/14697688.2017.1410214
13. Assessing the relative effectiveness of statistical downscaling and distribution mapping in reproducing rainfall statistics based on climate model results A. Langousis et al. https://doi.org/10.1002/2015WR017556
14. Generalised Pareto distribution: impact of rounding on parameter estimation Z. Pasarić & K. Cindrić https://doi.org/10.1007/s00704-018-2494-5
15. A Mahalanobis Distance‐Based Automatic Threshold Selection Method for Peaks Over Threshold Model K. Kiran & V. Srinivas https://doi.org/10.1029/2020WR027534
16. A Comparison of Moderate and Extreme ERA‐5 Daily Precipitation With Two Observational Data Sets P. Rivoire et al. https://doi.org/10.1029/2020EA001633
17. Spatial prediction of changes in landslide susceptibility under extreme daily rainfall from the cmip6 multi-model ensemble T. Chaithong et al. https://doi.org/10.1007/s00704-024-05021-6
18. Adaptive threshold selection for extreme value analysis to predict return levels of ozone layer depletion K. Sakthivel & V. Nandhini https://doi.org/10.1007/s11069-025-07287-z
19. The effects of climate change on historical and future extreme rainfall in Antalya, Turkey A. Yilmaz https://doi.org/10.1080/02626667.2014.945455
20. Assessing the impact of seasonal-rainfall anomalies on catchment-scale water balance components P. Nasta et al. https://doi.org/10.5194/hess-24-3211-2020
21. Assessment of temporal change in the tails of probability distribution of daily precipitation over India due to climatic shift in the 1970s N. Gupta & S. Chavan https://doi.org/10.2166/wcc.2021.008
22. On the distributions of annual and seasonal daily rainfall extremes in central Arizona and their spatial variability G. Mascaro https://doi.org/10.1016/j.jhydrol.2018.02.011
23. Extreme temperature fluctuations in laboratory models of the mid-latitude atmospheric circulation M. Vincze et al. https://doi.org/10.1038/s41598-023-47724-2
24. The legacy of STAHY: milestones, achievements, challenges, and open problems in statistical hydrology E. Volpi et al. https://doi.org/10.1080/02626667.2024.2385686
25. Quantitative assessment of automated threshold selection methods for Generalized Pareto Distribution for modeling precipitation extremes in the Indian subcontinent G. Sree Anusha & R. Maheswaran https://doi.org/10.1016/j.jhydrol.2025.134166
26. The global distribution of diet breadth in insect herbivores M. Forister et al. https://doi.org/10.1073/pnas.1423042112
27. An ERA‐5 Derived CONUS‐Wide High‐Resolution Precipitation Dataset Based on a Refined Parametric Statistical Downscaling Framework S. Emmanouil et al. https://doi.org/10.1029/2020WR029548
28. Finding the most appropriate precipitation probability distribution for stochastic weather generation and hydrological modelling in Nordic watersheds Z. Li et al. https://doi.org/10.1002/hyp.9499
29. Extreme daily precipitation in Belgrade and their links with the prevailing directions of the air trajectories I. Tošić & M. Unkašević https://doi.org/10.1007/s00704-012-0647-5
30. A parametric approach for simultaneous bias correction and high‐resolution downscaling of climate model rainfall A. Mamalakis et al. https://doi.org/10.1002/2016WR019578
31. Extreme scenarios selection for seismic assessment of expanded lifeline networks S. Borzoo et al. https://doi.org/10.1080/15732479.2020.1811989
32. Peaks-over-threshold model in flood frequency analysis: a scoping review X. Pan et al. https://doi.org/10.1007/s00477-022-02174-6
33. Multilayer blue-green roofs as nature-based solutions for water and thermal insulation management E. Cristiano et al. https://doi.org/10.2166/nh.2022.201
34. Modeling jointly low, moderate, and heavy rainfall intensities without a threshold selection P. Naveau et al. https://doi.org/10.1002/2015WR018552
35. Effects of rainfall on Culex mosquito population dynamics L. Valdez et al. https://doi.org/10.1016/j.jtbi.2017.03.024
36. Rainfall extremes: Toward reconciliation after the battle of distributions F. Serinaldi & C. Kilsby https://doi.org/10.1002/2013WR014211
37. A threshold determination method for extreme value analysis based on the tail least squares estimation Y. Zhao et al. https://doi.org/10.1016/j.oceaneng.2025.121696
38. Future floods using hydroclimatic simulations and peaks over threshold: An alternative to nonstationary analysis inferred from trend tests M. Ammar et al. https://doi.org/10.1016/j.advwatres.2019.103463
39. L-moments for automatic threshold selection in extreme value analysis J. Silva Lomba & M. Fraga Alves https://doi.org/10.1007/s00477-020-01789-x
40. Alexa A. Sochaniwsky and Paul D. McNicholas’s contribution to the Discussion of ‘Inference for extreme spatial temperature events in a changing climate with application to Ireland’ by Healy et al. A. Sochaniwsky & P. McNicholas https://doi.org/10.1093/jrsssc/qlae082
41. A Bayesian non-asymptotic extreme value model for daily rainfall data E. Zorzetto et al. https://doi.org/10.1016/j.jhydrol.2023.130378
42. Semi-parametric Estimation for Selecting Optimal Threshold of Extreme Rainfall Events W. Shinyie et al. https://doi.org/10.1007/s11269-013-0290-7
43. Threshold detection for the generalized Pareto distribution: Review of representative methods and application to the NOAA NCDC daily rainfall database A. Langousis et al. https://doi.org/10.1002/2015WR018502
44. A critical analysis of the shortcomings in spatial frequency analysis of rainfall extremes based on homogeneous regions and a comparison with a hierarchical boundaryless approach R. Deidda et al. https://doi.org/10.1007/s00477-021-02008-x
45. Complex dynamics in the distribution of players’ scoring performance in Rugby Union world cups L. Seuront https://doi.org/10.1016/j.physa.2013.03.024
46. An evaluation of automated GPD threshold selection methods for hydrological extremes across different scales S. Curceac et al. https://doi.org/10.1016/j.jhydrol.2020.124845
47. Simulating daily precipitation and temperature: a weather generation framework for assessing hydrometeorological hazards K. Breinl et al. https://doi.org/10.1002/met.1459
48. Non-asymptotic distributions of water extremes: much ado about what? F. Serinaldi et al. https://doi.org/10.5194/hess-29-1159-2025
49. Interpolation of daily rainfall data using censored Bayesian spatially varying model K. Bakar https://doi.org/10.1007/s00180-019-00911-0
50. Complex changes of extreme precipitation in the warming climate of Poland I. Pińskwar https://doi.org/10.1002/joc.7274
51. Nonstationarity in High and Low‐Temperature Extremes: Insights From a Global Observational Data Set by Merging Extreme‐Value Methods S. Nerantzaki et al. https://doi.org/10.1029/2023EF003506
52. Extreme weather exposure identification for road networks – a comparative assessment of statistical methods M. Schlögl & G. Laaha https://doi.org/10.5194/nhess-17-515-2017
53. Exploring the Future of Rainfall Extremes Over CONUS: The Effects of High Emission Climate Change Trajectories on the Intensity and Frequency of Rare Precipitation Events S. Emmanouil et al. https://doi.org/10.1029/2022EF003039
54. Simulating daily rainfall fields over large areas for collective risk estimation F. Serinaldi & C. Kilsby https://doi.org/10.1016/j.jhydrol.2014.02.043
55. Quantitative assessment of annual maxima, peaks-over-threshold and multifractal parametric approaches in estimating intensity-duration-frequency curves from short rainfall records S. Emmanouil et al. https://doi.org/10.1016/j.jhydrol.2020.125151
56. Hazard prediction modeling for typhoon-triggered shallow landslides by integrating physically-based model and extreme rainfall analysis T. Zeng et al. https://doi.org/10.1007/s10064-025-04371-3
57. An Entropy-Based Validation of Threshold Selection Technique for Extreme Value Analysis and Risk Assessment K. Sakthivel & V. Nandhini https://doi.org/10.1134/S1995080224600043
58. Semi-parametric Estimation Based on Second Order Parameter for Selecting Optimal Threshold of Extreme Rainfall Events W. Shinyie et al. https://doi.org/10.1007/s11269-014-0684-1
59. Assessing extremes in hydroclimatology: A review on probabilistic methods S. Nerantzaki & S. Papalexiou https://doi.org/10.1016/j.jhydrol.2021.127302
60. Driving a lumped hydrological model with precipitation output from weather generators of different complexity K. Breinl https://doi.org/10.1080/02626667.2015.1036755