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International Journal of Disaster Risk Reduction : Impact Factor & More

eISSN: 2212-4209pISSN: 2212-4209

Key Metrics

CiteScore
6.5
Eigenfactor
0.01 - 0.05
Impact Factor
5 - 10
Scite Index
0.90 5-Year SI
SJR
Q1Geology
SNIP
1.83
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International Journal of Disaster Risk Reduction Journal Specifications

Indexed in the following public directories

  • Web of Science Web of Science
  • Scopus Scopus
  • SJR SJR
Overview
Publisher ELSEVIER
Language English
Frequency Quarterly
General Details
LanguageEnglish
FrequencyQuarterly
Publication Start Year2012
Publisher URLVisit website
Website URLVisit website
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Recently Published Papers in International Journal of Disaster Risk Reduction

When wildfires reward incumbents: Risk exposure and electoral accountability in Chile
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Study on emergency evacuation behavior in heritage tourism destinations based on agent-based modeling: the case of Gulangyu, China
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A survival guide for assessing global fire risks to natural and human systems
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Hail vulnerability modeling for Calgary, Canada using environmental and socioeconomic data with multivariate regression and machine learning techniques
  • 1 Jun 2026
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When wildfires reward incumbents: Risk exposure and electoral accountability in Chile
  • 1 Jun 2026
  • International Journal of Disaster Risk Reduction
From prediction to decision: An explainable AI framework for Urban ground subsidence risk management
  • 1 Jun 2026
  • International Journal of Disaster Risk Reduction
State-of-the-art review of NaTech risk assessment of industrial facilities exposed to hydro-meteorological hazards
  • 1 Jun 2026
  • International Journal of Disaster Risk Reduction
Study on emergency evacuation behavior in heritage tourism destinations based on agent-based modeling: the case of Gulangyu, China
  • 1 Jun 2026
  • International Journal of Disaster Risk Reduction
A survival guide for assessing global fire risks to natural and human systems
  • 1 Jun 2026
  • International Journal of Disaster Risk Reduction
Hail vulnerability modeling for Calgary, Canada using environmental and socioeconomic data with multivariate regression and machine learning techniques
  • 1 Jun 2026
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View all papers for this journal

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