Bibliometric Analysis on the Use of Artificial Intelligence in Disaster Education

The study 'Bibliometric Analysis on the Use of Artificial Intelligence in Disaster Education' of 210 articles published in journals of the Web of Science database from 2001 to 2024 is intended to measure scientific advancement in disaster education and artificial intelligence integration. The study was conducted based on bibliometric, performance analysis, and science mapping analysis of genuine data in Web of Science. The outcomes in this article present an overall examination of 210 articles on artificial intelligence-based text categorization and question-answer parameters of disaster literacy learning. The research methodology encompasses performance analysis and science mapping analysis with the help of the Biblioshiny tool. The study outcomes present an overall scrutiny of scientific activities based on the subject, such as best journals, authors, topic wise, frequency of publications, journal performance, country, and institutions. This study was conducted to evaluate the implications of AI-based solutions on disaster education and to provide noteworthy findings that would inform future studies in this field.