World's Best Scientists 2026 revealed!
Natural Hazards
H-index 39

Natural Hazards

0921-030X

Published by: Springer

https://www.springer.com/journal/11069

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Earth Science 81 241 311 30
Environmental Sciences 138 147 193 30

Additional Metrics

Number of Best Scientists*: 605
Documents by Best Scientists*: 685
Top 100 Ranked Scientists*: 10
SCIMAGO H-index: 152
SCIMAGO SJR: 0.942
Impact Factor: 3.7

Overview

Top Research Topics at Natural Hazards?

The discussions in Natural Hazards mainly cover the fields of Natural hazard, Hydrogeology, Seismology, Flood myth and Hydrology. Some problems in Natural hazard that were presented in Natural Hazards overlapped with concepts under Landslide, Climatology, Hazard, Environmental resource management and Vulnerability. The Landslide study tackled is a key component of adjacent topics in the area of Cartography.

Issues in Climatology were discussed, taking into consideration concepts from other disciplines like Storm, Meteorology, Precipitation and Climate change. Environmental resource management research discussed connects with the study of Natural disaster. Natural Hazards explores the study of Hydrogeology to improve our understanding of the broader topic of Geotechnical engineering.

Studies on Seismology discussed in it link to the field of Magnitude (mathematics). Flood myth research presented in it encompasses a variety of subjects, including Floodplain, Flooding (psychology), Environmental planning and Water resource management. Drainage basin and Surface runoff are all topics related to Hydrology research discussed.

  • Natural hazard (63.16%)
  • Hydrogeology (18.57%)
  • Seismology (14.81%)

What are the most cited papers published in the journal?

  • People at Risk of Flooding: Why Some Residents Take Precautionary Action While Others Do Not (762 citations)
  • Validation of Spatial Prediction Models for Landslide Hazard Mapping (720 citations)
  • Understanding uncertainty and reducing vulnerability : lessons from resilience thinking (663 citations)

Research areas of the most cited articles at Natural Hazards:

The most cited publications explore disciplines such as Natural hazard, Flood myth, Cartography, Hydrology and Hydrogeology. The journal publications hold forums on Natural hazard that merge themes from other disciplines such as Landslide, Natural disaster, Hazard, Environmental resource management and Vulnerability. The most cited articles explore research in Seismology and overlapping concepts in Magnitude (mathematics) to expand the discourse in Hydrogeology.

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in Natural Hazards (based on the number of publications) are:

  • A. D. Rao (31 papers) absent at the last edition,
  • Yi-Ming Wei (29 papers) absent at the last edition,
  • U. C. Mohanty (28 papers) absent at the last edition,
  • Tad Murty (25 papers) absent at the last edition,
  • Yu Huang (22 papers) published 2 papers at the last edition, 1 more than at the previous edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in Natural Hazards (based on the number of publications) are:

  • Chinese Academy of Sciences (198 papers) published 27 papers at the last edition, 17 more than at the previous edition,
  • China University of Mining and Technology (116 papers) published 11 papers at the last edition, 3 more than at the previous edition,
  • Beijing Normal University (86 papers) published 6 papers at the last edition, 4 more than at the previous edition,
  • Nanjing University of Information Science and Technology (84 papers) published 31 papers at the last edition, 25 more than at the previous edition,
  • Beijing Institute of Technology (77 papers) published 1 paper at the last edition the same number as at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 7.27% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 15.27% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.60% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.06% of all publications and 68.07% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Top Publications

  • Machine learning and landslide studies: recent advances and applications

    (2022)
    139 Citations
  • Soil erosion potential hotspot zone identification using machine learning and statistical approaches in eastern India

    Rabin Chakrabortty;Subodh Chandra Pal;Mehebub Sahana;Ayan Mondal

    (2020)
    135 Citations
  • Multi-geohazards susceptibility mapping based on machine learning—a case study in Jiuzhaigou, China

    (2020)
    124 Citations
  • Assessing drought in the drylands of northeast Brazil under regional warming exceeding 4 °C

    Jose A. Marengo;Ana Paula M. A. Cunha;Carlos A. Nobre;Carlos A. Nobre;Germano G. Ribeiro Neto

    (2020)
    115 Citations
  • Projected changes in meteorological drought over East Africa inferred from bias-adjusted CMIP6 models

    Unknown

    (2021)
    102 Citations
  • Torrential rainfall-induced landslide susceptibility assessment using machine learning and statistical methods of eastern Himalaya

    Indrajit Chowdhuri;Subodh Chandra Pal;Rabin Chakrabortty;Sadhan Malik

    (2021)
    91 Citations
  • Flood susceptibility prediction using four machine learning techniques and comparison of their performance at Wadi Qena Basin, Egypt

    Bosy A. El-Haddad;Ahmed M. Youssef;Hamid R. Pourghasemi;Biswajeet Pradhan;Biswajeet Pradhan

    (2021)
    89 Citations
  • Could road constructions be more hazardous than an earthquake in terms of mass movement?

    (2022)
    73 Citations

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