Spatial Analysis of Disaster Resilience Research: A Bibliometric Study a manuscript for submission as a Review Article to International Journal of Disaster Risk Reduction by

Abstract

We analyzed the global disaster resilience research literature to advance understanding of its geographical context. A key objective was to map the variation in disaster research resilience activity to identify hotspots and areas of less activity. The motivation is to reveal regional imbalances in resilience research and collaboration to contribute to the global narrative regarding marginalized regions. The methodology involves an in-depth examination of Web of Science (WoS) bibliographic data from 2010-2020, using keywords to develop a comprehensive perspective of disaster resilience research. Additionally, the study incorporates empirical data from the Emergency Events Data (EM-DAT) maintained by the Centre for Research on the Epidemiology of Hazards at the Université Catholique de Louvain (CRED/UCLouvain) to provide context on the impact of disasters. A key innovation of this study is the Disaster Resilience Research Score (DRRS), a quantifiable metric to evaluate the state of disaster resilience research globally by country. The DRRS considers publications, citations, and institutional involvement to provide a well-rounded view of each country's contributions to the field. The results highlight the leading role in disaster resilience research of countries including the United States, Australia, the United Kingdom, Germany, and Italy. However, there is a notable lack of research activity in countries such as Ecuador, Algeria, Kenya, Cambodia, and Myanmar, which also exhibit relatively high vulnerability to environmental hazards. Our findings indicate that countries identified as resilience hotspots predominantly collaborate within their country. This study highlights opportunities for strengthening collaborations between resilience research hotspots and locations less represented in the resilience research literature. It underscores the importance of identifying hot and cold spots to direct future research and foster a more equitable and sustainable response to climate change and hazards.