Bibliometric Analysis of Studies on the Use of Digital Twins in Disasters

Disasters are events that cause serious property, life and social losses around the world every year and that stop or interrupt people's normal lives. Disasters are classified according to their cause as natural disasters, man-made disasters and technology-induced disasters. As is the case all over the world, our country is also seriously affected by disasters. Considering the seriousness of the situation, the importance of scientific studies in this field is increasing. The aim of this study is to examine the studies conducted using digital twins on disasters. For this purpose, the bibliometric analysis method was used. The sample of the study consists of scientific publications scanned in the Web of Science (WoS) database between 2012-2025. 226 studies were obtained from a total of 167 sources. "Applied Sciences-Basel" and "International Journal of Disaster Risk Reduction" are in first place with 9 publications at publishing scientific studies using digital twins in disasters. Among scientific sources, the source that published the most studies in 2025 is the "International Journal of Disaster Risk Reduction". The author who published the most articles in the field of using digital twins in disasters is "UY" with 8 articles. The year in which the institutions published the most is 2025, and the institution with the most publications in 2025 is "Texas A&M University".