Disasters

Papers
(The H4-Index of Disasters is 15. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-08-01 to 2026-08-01.)
ArticleCitations
Responding domestically: British Islamic faith‐based organisations' crisis response in the UK during the COVID‐19 pandemic100
Evidence of policy learning in emergency declarations as communication tools in Australia35
Recovering the status quo: tipping points and earthquake aftermaths in colonial India30
Interorganisational emergency management coordination challenges in a resource‐scarce environment: a case study of El Salvador post COVID‐1928
Interplay between sanctions, donor conditionality, and food insecurity in complex emergencies: the case of Syria26
Introduction26
With a little help from my ‘ordinary friends’: relationships, networks, and resilience in Masisi, North Kivu, eastern Democratic Republic of the Congo24
On unstable ground: gendered vulnerabilities and community perceptions of landslides in rural Uganda22
The humanitarian–development–peace (triple) nexus: a typology and critical reflections22
The barriers to uptake of disaster risk management science in urban planning: A political economy analysis21
The Disaster Response Mobilization System: a community‐based disaster preparedness strategy in Puerto Rico20
Disaster colonialism: indigenous tribal community responses to Typhoon Morakot in southern Taiwan19
Negotiating humanitarian space with criminal armed groups in urban Latin America18
Issue Information17
Paranirvar mānis (dependent people)? Rethinking humanitarian dependency syndrome: a Bourdieusian perspective16
Disasters and corruption: public expectations and tolerance—evidence from Mexico15
From ‘aidland’ to ‘homeland’: what the lived experiences of Ukrainian crisis leaders indicate about humanitarian response15
Measuring community disaster resilience for sustainable climate change adaptation: Lessons from time‐series findings in rural Cambodia15
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