SCIESCOPUSQ1
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
COPERNICUS GESELLSCHAFT MBH, Germany
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES is an academic journal published by COPERNICUS GESELLSCHAFT MBH (Germany). Identifiers: ISSN 1561-8633, eISSN 1684-9981. Indexed in SCIE, SCOPUS. Metrics: JIF 4.7, CiteScore 7.6, SJR 1.348, SNIP 1.46. Subject areas: GEOSCIENCES, METEOROLOGY & ATMOSPHERIC SCIENCES, MULTIDISCIPLINARY, WATER RESOURCES. tlooto lists 6,442 papers from this journal.
CiteScore
7.60
Scopus citation metric
SJR
1.348
SCImago rank
SNIP
1.46
Source normalized impact
Percentage rank
-
JIF percentile rank
Journal profile
- ISSN
- 1561-8633
- eISSN
- 1684-9981
- Abbreviation
- NAT HAZARD EARTH SYS
- Publisher
- COPERNICUS GESELLSCHAFT MBH
- Country
- Germany
Web of Science categories
SCIEGEOSCIENCES, METEOROLOGY & ATMOSPHERIC SCIENCES, MULTIDISCIPLINARY, WATER RESOURCES
Scopus ASJC categories
1900 General Earth and Planetary Sciences
Keywords
Geosciences, Multidisciplinary | Meteorology & Atmospheric Sciences | Water Resources
Papers in this journal
Recent papers
- Rapid amplification of Compound Drought and Heatwave risk over India: a regime shift from arid northwest to humid southern and eastern hotspots
2026
- Review article: Social media for managing disasters triggered by natural hazards: a critical review of data collection strategies and actionable insights
2026 · 2 citations
- Human decision-making in crowds in a virtual flood scenario
2026
- Towards an operational European Drought Impacts Database (EDID)
2026 · 1 citations
- Hourly Precipitation Patterns and Extremization over Italy using convection-permitting reanalysis data
2026
Most cited papers
- Global fatal landslide occurrence from 2004 to 2016
2018 · 1,778 citations
- Review article "Assessment of economic flood damage"
2010 · 1,244 citations
- Resilience and disaster risk reduction: an etymological journey
2013 · 1,173 citations
- Spatial prediction models for landslide hazards: review, comparison and evaluation
2005 · 650 citations
- Landslide susceptibility estimation by random forests technique: sensitivity and scaling issues
2013 · 632 citations