Journal of Disaster Research

1.4k papers and 7.4k indexed citations i.

About

The 1.4k papers published in Journal of Disaster Research in the last decades have received a total of 7.4k indexed citations. Papers published in Journal of Disaster Research usually cover Sociology and Political Science (378 papers), Civil and Structural Engineering (273 papers) and Global and Planetary Change (257 papers) specifically the topics of Disaster Management and Resilience (313 papers), earthquake and tectonic studies (195 papers) and Flood Risk Assessment and Management (181 papers). The most active scholars publishing in Journal of Disaster Research are Shunichi Koshimura, Harry Yeh, Masato Iguchi, Reo Kimura, Fumihiko Imamura, Hiroyuki Fujiwara, Taro ARIKAWA, Haruo Hayashi, Nobuyuki Morikawa and Erick Mas.

In The Last Decade

Fields of papers published in Journal of Disaster Research

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Disaster Research. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Journal of Disaster Research.

Countries where authors publish in Journal of Disaster Research

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Disaster Research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in Journal of Disaster Research with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Journal of Disaster Research more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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