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Geomatics, Natural Hazards and Risk
H-index 27

Geomatics, Natural Hazards and Risk

1947-5705

Published by: Taylor & Francis

https://www.tandfonline.com/toc/tgnh20/current

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Earth Science 207 40 51 18
Environmental Sciences 319 36 51 17

Additional Metrics

Number of Best Scientists*: 126
Documents by Best Scientists*: 144
Top 100 Ranked Scientists*: 4
SCIMAGO H-index: 66
SCIMAGO SJR: 1.053
Impact Factor: 4.6

Overview

Top Research Topics at Geomatics, Natural Hazards and Risk?

Geomatics, Natural Hazards and Risk facilitates discussions on Landslide, Hydrology, Seismology, Remote sensing and China. The Landslide study tackled is a key component of adjacent topics in the area of Cartography. Flood myth and Drainage basin are all aspects of Hydrology discussed in Geomatics, Natural Hazards and Risk.

Geomatics, Natural Hazards and Risk connects research in Seismology with the related topic of Geodesy. The majority of Remote sensing studies presented zero in on Remote sensing (archaeology).

  • Landslide (16.83%)
  • Hydrology (13.37%)
  • Seismology (12.89%)

What are the most cited papers published in the journal?

  • Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and artificial neural networks (ANN) (172 citations)
  • Weights-of-evidence model applied to landslide susceptibility mapping in a tropical hilly area (150 citations)
  • Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis (145 citations)

Research areas of the most cited articles at Geomatics, Natural Hazards and Risk:

The main points discussed in the published articles deal with Landslide, Hydrology, Remote sensing, Flood myth and Remote sensing (archaeology). Issues in Landslide were discussed in the journal papers, taking into consideration concepts from other disciplines like Cartography, Artificial neural network and Data mining. The studies on Hydrology discussed at the journal articles can also contribute to research in the domains of Structural basin, Water resource management, Elevation, Climate change and Physical geography.

What topics the last edition of the journal is best known for?

  • Statistics
  • Artificial intelligence
  • China

The previous edition focused in particular on these issues:

Geomatics, Natural Hazards and Risk aims to foster the development of research in Mining engineering, Landslide, China, Environmental resource management and Remote sensing (archaeology). It focuses on Mining engineering but the discussions also offer insight into other areas such as Microseism, Excavation and Coal mining. It is concerned with the study of Coal mining and Coal in general.

The journal investigates Landslide research which frequently intersects with Cartography. The Environmental resource management study featured in the journal draws connections with the study of Vulnerability.

The most cited articles from the last journal are:

  • Prediction of gully erosion susceptibility mapping using novel ensemble machine learning algorithms (9 citations)
  • Risk mitigation for rockfall hazards in steeply dipping coal seam: a case study in Xinjiang, northwestern China (9 citations)
  • Forest fire monitoring using spatial-statistical and Geo-spatial analysis of factors determining forest fire in Margalla Hills, Islamabad, Pakistan (5 citations)

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 Geomatics, Natural Hazards and Risk (based on the number of publications) are:

  • Biswajeet Pradhan (24 papers) published 6 papers at the last edition,
  • Chunxiang Cao (11 papers) absent at the last edition,
  • Bing Guo (10 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • Saurabh Baruah (8 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Trilok Singh (8 papers) published 1 paper at the last 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 Geomatics, Natural Hazards and Risk (based on the number of publications) are:

  • Chinese Academy of Sciences (66 papers) published 13 papers at the last edition, 3 more than at the previous edition,
  • China University of Mining and Technology (27 papers) published 6 papers at the last edition, 1 less than at the previous edition,
  • Sichuan University (20 papers) published 3 papers at the last edition, 4 less than at the previous edition,
  • Universiti Putra Malaysia (18 papers) published 1 paper at the last edition,
  • Chang'an University (17 papers) absent at the last 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, 9.30% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 23.08% were posted by at least one author from the top 10 institutions publishing in the journal. Another 12.82% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.95% of all publications and 46.15% 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

  • Flood susceptibility mapping using an improved analytic network process with statistical models

    Peyman Yariyan;Mohammadtaghi Avand;Rahim Ali Abbaspour;Ali Torabi Haghighi

    (2020)
    110 Citations
  • A comparison among fuzzy multi-criteria decision making, bivariate, multivariate and machine learning models in landslide susceptibility mapping

    Quoc Bao Pham;Yacine Achour;Sk Ajim Ali;Farhana Parvin

    (2021)
    105 Citations
  • Prediction of gully erosion susceptibility mapping using novel ensemble machine learning algorithms

    Alireza Arabameri;Subodh Chandra Pal;Romulus Costache;Asish Saha

    (2021)
    95 Citations
  • Influence of DEM resolution on landslide simulation performance based on the Scoops3D model

    Unknown

    (2022)
    86 Citations
  • Flood susceptibility mapping using meta-heuristic algorithms

    (2022)
    67 Citations
  • Risk assessment of geohazards along Cheng-Kun railway using fuzzy AHP incorporated into GIS

    Qian Zheng;Qian Zheng;Hai-Min Lyu;Annan Zhou;Shui-Long Shen

    (2021)
    60 Citations
  • Application of geospatial technologies in developing a dynamic landslide early warning system in a humanitarian context: the Rohingya refugee crisis in Cox’s Bazar, Bangladesh

    Bayes Ahmed;Md. Shahinoor Rahman;Peter Sammonds;Rahenul Islam

    (2020)
    56 Citations
  • Towards urban flood susceptibility mapping using data-driven models in Berlin, Germany

    (2022)
    52 Citations
  • Comparison and validation of per-pixel and object-based approaches for landslide susceptibility mapping

    Thimmaiah Gudiyangada Nachappa;Stefan Kienberger;Sansar Raj Meena;Daniel Hölbling

    (2020)
    51 Citations
  • Cyclone vulnerability assessment of the western coast of Bangladesh

    Muhammad Al-Amin Hoque;Biswajeet Pradhan;Naser Ahmed;Bayes Ahmed

    (2021)
    49 Citations

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Best Scientists Contributing to This Journal