Indexed in Journament

Natural Hazards

ISSN 0921-030X· EN

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37.8 / 100
Journament Score
Poor
Ranked #3,962 of 29,312 scored journals (34,012 indexed)
17 Articles
Scores higher than 86.4% of scored journals
050100
The Journament Score is computed from platform statistics — reader engagement, accessibility, publication timeliness, keyword breadth, community impact and content distribution — into a single 0–100 figure, recalculated as new articles and metadata are indexed. Dimensions that cannot be measured for this journal are excluded rather than estimated. It is independent of the paid AI Quality Analysis, which never affects this score or the ranking. Full methodology →

About This Journal

Short Name Natural Hazards
Abbreviated Name natural hazards
ISSN 0921-030X

Quality Profile

6 of 12 dimensions measured
Engagement 30.4
Timeliness 20.0
Diversity 72.2
Innovation 18.0
Community Impact 1.4
Content Distribution 70.5
This journal Average of scored journals
Platform statistics — the free Journament Score AI Quality Analysis — separate paid product, ranks nothing

6 of the 12 dimensions could not be measured for this journal. They are left out entirely rather than plotted as zero, and with 6 dimensions measured there is not enough of a profile to draw as a shape.

Show the numbers
Journament quality dimensions for Natural Hazards
Dimension This journal Corpus average
Engagement 30.4 30.4
Accessibility 20.4
Timeliness 20.0 5.8
Diversity 72.2 24.4
Innovation 18.0 25.7
Community Impact 1.4 5.8
Content Distribution 70.5 88.6
Content Quality 55.5
Ethics & Transparency 40.2
Editorial Standards 33.4
Publication Regularity 53.2
Geographic Reach 30.8

Publications Per Year

Articles (17)

2020
Soil erosion potential hotspot zone identification using machine learning and statistical approaches in eastern India
, pp. 1-36
416 views DOI Abstract
2013
Landslide susceptibility mapping by binary logistic regression, analytical hierarchy process, and statistical index models and assessment of their performances
Vol. 69 , No. 1 , pp. 749-779
399 views DOI Abstract
1970
A GIS-Based Multivariate Statistical Analysis for Shallow Landslide Susceptibility Mapping in La Pobla de Lillet Area (Eastern Pyrenees, Spain)
Vol. 30 , No. 3 , pp. 281-295
396 views DOI Abstract
2015
Binary logistic regression versus stochastic gradient boosted decision trees in assessing landslide susceptibility for multiple-occurring landslide events: application to the 2009 storm event in Messina (Sicily, southern Italy)
Vol. 79 , No. 3 , pp. 1621-1648
391 views DOI Abstract
2012
Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran
Vol. 63 , No. 2 , pp. 965-996
359 views DOI Abstract
2018
Landslide susceptibility assessment at the Wuning area, China: a comparison between multi-criteria decision making, bivariate statistical and machine learning methods
Vol. 96 , No. 1 , pp. 173-212
350 views DOI Abstract
2014
An assessment of multivariate and bivariate approaches in landslide susceptibility mapping: a case study of Duzkoy district
Vol. 76 , No. 1 , pp. 471-496
314 views DOI Abstract
2016
Presence-only approach to assess landslide triggering-thickness susceptibility: a test for the Mili catchment (north-eastern Sicily, Italy)
Vol. 84 , No. 1 , pp. 565-588
278 views DOI Abstract
2023
Delineating village-level drought risk in Marinduque Island, Philippines
Vol. 116 , pp. 2993-3014
66 views DOI
2020
Soil erosion potential hotspot zone identification using machine learning and statistical approaches in eastern India
, pp. 1-36
255 views DOI
2020
Soil erosion potential hotspot zone identification using machine learning and statistical approaches in eastern India
, pp. 1-36
416 views DOI Abstract
2018
Landslide susceptibility assessment at the Wuning area, China: a comparison between multi-criteria decision making, bivariate statistical and machine learning methods
Vol. 96 , No. 1 , pp. 173-212
350 views DOI Abstract
2018
Decadal flood trends in Bangladesh from extensive hydrographic data
Vol. 90 , pp. 115-135
184 views DOI
2016
Presence-only approach to assess landslide triggering-thickness susceptibility: a test for the Mili catchment (north-eastern Sicily, Italy)
Vol. 84 , No. 1 , pp. 565-588
278 views DOI Abstract
Journament Score
37.8/100 · Poor
Ranked #3,962 of 29,312 scored
(34,012 journals indexed)
Platform Statistics
AI Quality Analysis
Separate paid analysis — does not affect ranking.

Overall Quality Score

37.8/100

Tier: Poor

The Journament Overall Quality Score is a comprehensive metric that evaluates academic journals across multiple dimensions including engagement, accessibility, diversity, innovation, and community impact.

This score helps researchers, institutions, and publishers understand the holistic quality and impact of a journal beyond traditional metrics.

Engagement Score

30.4/100

Measures user interactions, views, citations, and community involvement with this journal's content.

Higher engagement scores indicate that the journal's content is actively being read, cited, and discussed within the academic community.

Accessibility Score

Not yet measured

Evaluates how easily researchers can access journal content, including open access availability, ISSN registration, and indexing.

This metric considers factors such as paywalls, open access policies, and availability across different academic databases and search engines.

Diversity Score

72.2/100

Assesses geographic and institutional diversity of authors, editorial board composition, and topic breadth.

A diverse journal publishes work from various geographic regions, institutions, and covers a broad range of topics within its field.

Innovation Score

18.0/100

Evaluates research novelty, interdisciplinary work, and emerging topics based on AI analysis of article abstracts.

This score reflects how much the journal publishes cutting-edge research, explores new methodologies, and bridges different academic disciplines.

Community Impact Score

1.4/100

Measures scholarly contribution and real-world applications of published research.

This metric evaluates how the journal's research translates into practical applications, policy changes, and benefits to society beyond academia.

Timeliness Score

20.0/100

Evaluates recent publication activity, publication frequency, and currency of research topics.

Higher scores indicate consistent publishing schedules and timely coverage of current research trends.

Content Distribution

70.5/100

Measures how evenly reader attention spreads across the journal's articles, using the Gini coefficient of article clicks.

Higher scores mean readership is distributed across many articles rather than concentrated on one or two.

Ethics & Transparency Score

Not yet measured

Research Integrity (10% weight)

Assesses COPE standards compliance, ethical considerations in research, transparency in methodologies, and reproducibility practices.

This metric ensures the journal maintains high ethical standards and promotes transparent, trustworthy research.

Content Quality Score

Not yet measured

Academic Rigor (20% weight) + Methodology Quality (12%)

Evaluates research methodology soundness, statistical rigor, theoretical framework strength, appropriateness of research methods, data quality, and clarity & readability.

This comprehensive metric ensures published research meets the highest academic standards.

Editorial Diversity Score

Not yet measured

Author Diversity + Interdisciplinary Value (8%)

Measures geographic diversity of authors, institutional variety, editorial board composition, and cross-disciplinary connections.

Diverse editorial teams bring varied perspectives and reduce bias in academic publishing.

Publication Regularity Score

Not yet measured

Assesses consistency of publication schedule, frequency stability, and predictable output patterns.

Regular publication schedules indicate reliable journal operations and consistent workflow management.

Geographic Reach Score

Not yet measured

Evaluates international author representation, global readership distribution, and cross-border research collaboration.

Wide geographic reach indicates global impact and international recognition of the journal's research.