Progress in Disaster Science

363 papers and 5.4k indexed citations i.

About

The 363 papers published in Progress in Disaster Science in the last decades have received a total of 5.4k indexed citations. Papers published in Progress in Disaster Science usually cover Sociology and Political Science (206 papers), Global and Planetary Change (128 papers) and Civil and Structural Engineering (57 papers) specifically the topics of Disaster Management and Resilience (188 papers), Flood Risk Assessment and Management (110 papers) and Disaster Response and Management (50 papers). The most active scholars publishing in Progress in Disaster Science are Riyanti Djalante, Rajib Shaw, Yong Kyun Kim, Jinling Hua, Mikio Ishiwatari, Bapon Fakhruddin, Andrew DeWit, Jonatan Lassa, Iftekhar Ahmed and Yuko Murayama.

In The Last Decade

Fields of papers published in Progress in Disaster Science

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Progress in Disaster Science. 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 Progress in Disaster Science.

Countries where authors publish in Progress in Disaster Science

Since Specialization
Citations

This map shows the geographic impact of research published in Progress in Disaster Science. 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 Progress in Disaster Science with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Progress in Disaster Science 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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