69 citations as recorded by crossref.

1. Quantifying thresholds for advancing impact-based drought assessment using classification and regression tree (CART) models A. Veettil & A. Mishra https://doi.org/10.1016/j.jhydrol.2023.129966
2. Relating drought indices to impacts reported in newspaper articles P. O'Connor et al. https://doi.org/10.1002/joc.7946
3. Multi-driver ensemble to evaluate the water utility business interruption cost induced by hydrological drought risk scenarios in Brazil D. Guzmán et al. https://doi.org/10.1080/1573062X.2022.2058564
4. Application of penalized linear regression and ensemble methods for drought forecasting in Northeast China Z. Li et al. https://doi.org/10.1007/s00703-019-00675-8
5. Explainable machine learning for the prediction and assessment of complex drought impacts B. Zhang et al. https://doi.org/10.1016/j.scitotenv.2023.165509
6. Impact Forecasting to Support Emergency Management of Natural Hazards B. Merz et al. https://doi.org/10.1029/2020RG000704
7. Improvement of Integrated Watershed Management in Indonesia for Mitigation and Adaptation to Climate Change: A Review T. Basuki et al. https://doi.org/10.3390/su14169997
8. Building an Improved Drought Climatology Using Updated Drought Tools: A New Mexico Food-Energy-Water (FEW) Systems Focus L. Johnson et al. https://doi.org/10.3389/fclim.2020.576653
9. Statistical Drought Impact Assessments at the Provincial Level Across Northern and Southwestern China X. Zhao et al. https://doi.org/10.1002/joc.70209
10. Drought risk assessment of spring maize based on APSIM crop model in Liaoning province, China Y. Wang et al. https://doi.org/10.1016/j.ijdrr.2020.101483
11. Establishment of agricultural drought loss models: A comparison of statistical methods X. Zhu et al. https://doi.org/10.1016/j.ecolind.2020.106084
12. Nationwide temporal variability of droughts in the Kingdom of Eswatini: 1981–2018 C. Tfwala et al. https://doi.org/10.1016/j.heliyon.2020.e05707
13. Causally guided symbolic regression for basin-scale water balance change in the China–Mongolia arid region R. Li et al. https://doi.org/10.1016/j.ejrh.2026.103355
14. Drought Analyses of the Horné Požitavie Region (Slovakia) in the Period 1966–2013 J. Vido et al. https://doi.org/10.1155/2019/3576285
15. Water Scarcity Risk Index: A Tool for Strategic Drought Risk Management F. Thomaz et al. https://doi.org/10.3390/w15020255
16. Integrating time–space dynamics for meteorological drought monitoring and trend analysis Z. Shah et al. https://doi.org/10.1007/s11600-025-01738-8
17. Regional variations in the link between drought indices and reported agricultural impacts of drought D. Parsons et al. https://doi.org/10.1016/j.agsy.2019.02.015
18. Assessment of dynamic drought-induced ecosystem risk: Integrating time-varying hazard frequency, exposure and vulnerability W. Fang et al. https://doi.org/10.1016/j.jenvman.2023.118176
19. A New Comprehensive Framework for Identifying and Monitoring the Interseasonal Characteristics of Meteorological Drought H. Amin et al. https://doi.org/10.1155/2023/5410333
20. Integrating Satellite Images and Machine Learning for Flood Prediction and Susceptibility Mapping for the Case of Amibara, Awash Basin, Ethiopia G. Wedajo et al. https://doi.org/10.3390/rs16122163
21. Driving Forces and Socio-Economic Impacts of Low-Flow Events in Central Europe: A Literature Review Using DPSIR Criteria L. Folkens et al. https://doi.org/10.3390/su151310692
22. Application of DSSAT model to evaluate the effects of tillage methods on soil water balance during drought period A. Irkiso et al. https://doi.org/10.1007/s40808-025-02334-x
23. Machine-learning methods to assess the effects of a non-linear damage spectrum taking into account soil moisture on winter wheat yields in Germany M. Peichl et al. https://doi.org/10.5194/hess-25-6523-2021
24. Drought impact links to meteorological drought indicators and predictability in Spain H. Torelló-Sentelles & C. Franzke https://doi.org/10.5194/hess-26-1821-2022
25. Mechanisms of meteorological drought propagation to agricultural drought in China: insights from causality chain Z. You et al. https://doi.org/10.1038/s44304-025-00073-8
26. Assessing the likelihood of drought impact occurrence with extreme gradient boosting: a case study on the public water supply in South Korea J. Seo & Y. Kim https://doi.org/10.2166/hydro.2023.064
27. Examining LightGBM and CatBoost models for wadi flash flood susceptibility prediction M. Saber et al. https://doi.org/10.1080/10106049.2021.1974959
28. Moving from drought hazard to impact forecasts S. Sutanto et al. https://doi.org/10.1038/s41467-019-12840-z
29. Drought Analysis Methods: A Multidisciplinary Review with Insights on Key Decision-Making Factors in Method Selection A. Ahady et al. https://doi.org/10.3390/w17152248
30. Identification of drought endemic areas in Musi Banyuasin regency B. Utomo et al. https://doi.org/10.1016/j.kjs.2023.03.002
31. A deep learning perspective on meteorological droughts prediction in the Mun River Basin, Thailand U. Humphries et al. https://doi.org/10.1063/5.0209709
32. Bibliometric and systematic review of agricultural drought assessment and monitoring: trends and techniques F. El Kamouni et al. https://doi.org/10.1007/s42990-025-00194-2
33. Response of vegetation resilience to drought across river basins on a global scale M. Faiz et al. https://doi.org/10.1080/17538947.2025.2528661
34. Abiotic disturbances affect forest short-term vegetation cover and phenology in Southwest China Y. Deng et al. https://doi.org/10.1016/j.ecolind.2021.107393
35. A 500-m Agricultural Drought Impact Dataset in China’s Main Grain Region: Toward Impact-Based Drought Monitoring J. Shi et al. https://doi.org/10.1038/s41597-026-06732-3
36. How well do gridded precipitation and actual evapotranspiration products represent the key water balance components in the Nile Basin? I. McNamara et al. https://doi.org/10.1016/j.ejrh.2021.100884
37. Advances and gaps in the science and practice of impact‐based forecasting of droughts A. Shyrokaya et al. https://doi.org/10.1002/wat2.1698
38. Mapping and assessing drought losses in China: A process-based framework analysis T. Wang & F. Sun https://doi.org/10.1016/j.ijdrr.2024.104739
39. Linking reported drought impacts with drought indices, water scarcity and aridity: the case of Kenya M. Lam et al. https://doi.org/10.5194/nhess-23-2915-2023
40. Text mining uncovers the unique dynamics of socio-economic impacts of the 2018–2022 multi-year drought in Germany J. Sodoge et al. https://doi.org/10.5194/nhess-24-1757-2024
41. Towards an operational European Drought Impacts Database (EDID) K. Stahl et al. https://doi.org/10.5194/nhess-26-845-2026
42. Future intensification of compound and consecutive drought and heatwave risks in Europe S. Sutanto et al. https://doi.org/10.5194/nhess-25-3879-2025
43. Uncovering the Dynamics of Multi‐Sector Impacts of Hydrological Extremes: A Methods Overview M. de Brito et al. https://doi.org/10.1029/2023EF003906
44. Short-term forecasting of drought impacts using machine learning to support drought mitigation and adaptation efforts I. Omar et al. https://doi.org/10.1088/2752-5295/ae8321
45. Proportional odds model for identifying spatial inter-seasonal propagation of meteorological drought R. Niaz et al. https://doi.org/10.1080/19475705.2022.2095934
46. Quantifying crop vulnerability to weather-related extreme events and climate change through vulnerability curves B. Monteleone et al. https://doi.org/10.1007/s11069-022-05791-0
47. Unveiling the spatiotemporal impacts of the 2021 Central Asian drought on vegetation: A comprehensive quantitative analysis H. Guo et al. https://doi.org/10.1016/j.ecolind.2024.112238
48. Logistic Regression Analysis for Spatial Patterns of Drought Persistence R. Niaz et al. https://doi.org/10.1155/2021/3724919
49. Enhancing flood risk assessment through integration of ensemble learning approaches and physical-based hydrological modeling M. Saber et al. https://doi.org/10.1080/19475705.2023.2203798
50. Preface: Damage of natural hazards: assessment and mitigation H. Kreibich et al. https://doi.org/10.5194/nhess-19-551-2019
51. Drought impact prediction across time and space: limits and potentials of text reports R. Stephan et al. https://doi.org/10.1088/1748-9326/acd8da
52. Assessing vegetation resilience and vulnerability to drought events in Central Asia L. Jiang et al. https://doi.org/10.1016/j.jhydrol.2024.131012
53. Evaluating the performance of random forest for large-scale flood discharge simulation L. Schoppa et al. https://doi.org/10.1016/j.jhydrol.2020.125531
54. Dynamics of Socioeconomic Exposure, Vulnerability and Impacts of Recent Droughts in Argentina G. Naumann et al. https://doi.org/10.3390/geosciences9010039
55. Europe under multi-year droughts: how severe was the 2014–2018 drought period? V. Moravec et al. https://doi.org/10.1088/1748-9326/abe828
56. Modelling agricultural drought: a review of latest advances in big data technologies I. Hanadé Houmma et al. https://doi.org/10.1080/19475705.2022.2131471
57. Quantifying the Similarity in Perceptions of Multiple Stakeholders in Dingcheng, China, on Agricultural Drought Risk Governance Y. Wu et al. https://doi.org/10.3390/su10093219
58. From indices to impacts using environmental and socio-economic clustering in Kenya R. Odongo et al. https://doi.org/10.1016/j.ejrh.2025.102269
59. Skill of large-scale seasonal drought impact forecasts S. Sutanto et al. https://doi.org/10.5194/nhess-20-1595-2020
60. Towards drought impact-based forecasting in a multi-hazard context V. Boult et al. https://doi.org/10.1016/j.crm.2022.100402
61. Identifying inter-seasonal drought characteristics using binary outcome panel data models R. Niaz et al. https://doi.org/10.1080/10106049.2023.2178527
62. Beyond one-size-fits-all: a path toward region-specific flash drought monitoring and management G. Gesualdo & A. Hadjimichael https://doi.org/10.1088/3033-4942/ae1bca
63. Droughts in a warming climate: projected changes, sectoral impacts, and adaptation challenges K. Bhardwaj & A. Mishra https://doi.org/10.1007/s00477-026-03296-x
64. Developing stage-specific drought vulnerability curves for maize: The case study of the Po River basin B. Monteleone et al. https://doi.org/10.1016/j.agwat.2022.107713
65. Application of Machine Learning and Process-Based Models for Rainfall-Runoff Simulation in DuPage River Basin, Illinois A. Bhusal et al. https://doi.org/10.3390/hydrology9070117
66. High Resolution Forecasting of Summer Drought in the Western United States R. Abolafia‐Rosenzweig et al. https://doi.org/10.1029/2022WR033734
67. Impact of an Integrated Approach in Disaster Management O. Njoku et al. https://doi.org/10.4018/IJOCI.2020040102
68. Good weather for a ride (or not?): how weather conditions impact road accidents — a case study from Wielkopolska (Poland) I. Pińskwar et al. https://doi.org/10.1007/s00484-023-02592-3
69. Toward early warning of drought impacts: a framework for predicting drought impacts in the UK B. Bulut et al. https://doi.org/10.5194/nhess-26-1515-2026