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Landslides
H-index 50

Landslides

1612-510X

Published by: Springer

https://www.springer.com/journal/10346

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Earth Science 23 171 370 46

Additional Metrics

Number of Best Scientists*: 269
Documents by Best Scientists*: 451
Top 100 Ranked Scientists*: 4
SCIMAGO H-index: 124
SCIMAGO SJR: 1.999
Impact Factor: 7

Overview

Top Research Topics at Landslides?

The main research concerns discussed in Landslides are Landslide, Natural hazard, Geotechnical engineering, Geomorphology and Seismology. Landslide works presented in Landslides have a specific focus on Landslide classification. Landslides explores topics in Natural hazard which can be helpful for research in disciplines like Cartography, Mining engineering, Hazard, Physical geography and Forensic engineering.

Slip (materials science) and Shear (geology) are some topics wherein Geotechnical engineering research discussed in the journal have an impact. The work on Geomorphology presented in it focuses on Rockfall in particular.

  • Landslide (94.11%)
  • Natural hazard (37.27%)
  • Geotechnical engineering (28.21%)

What are the most cited papers published in the journal?

  • The Varnes classification of landslide types, an update (1172 citations)
  • The rainfall intensity–duration control of shallow landslides and debris flows: an update (823 citations)
  • Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models (591 citations)

Research areas of the most cited articles at Landslides:

The journal papers investigate areas of study like Landslide, Natural hazard, Geomorphology, Geotechnical engineering and Debris. The journal publications facilitate discussions on Landslide that incorporate concepts from other fields like Hydrology, Cartography and Debris flow. The published papers mainly concentrate on Natural hazard but also investigate its connection with concepts in disciplines such as

  • Risk management most often made with reference to Hazard,
  • Meteorology most often made with reference to Warning system..

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

  • Statistics
  • Landslide
  • Composite material

The previous edition focused in particular on these issues:

The concepts of Landslide, Natural hazard, Geotechnical engineering, Debris and Debris flow are tackled in Landslides. Landslides addresses concerns in the field of Landslide by exploring it in line with topics in Slope stability which intersect with Soil science subjects. Topics in Natural hazard explored in it were investigated in conjunction with research in Mining engineering, Terrain, Hazard, Precipitation and China.

The work on Geotechnical engineering tackled in Landslides brings together disciplines like Displacement (vector) and Flow (psychology). The concepts on Debris flow presented in Landslides can also apply to other research fields, including Sediment and Erosion. The journal explores research in Geomorphology and the adjacent study of Fault scarp.

The most cited articles from the last journal are:

  • How robust are landslide susceptibility estimates (9 citations)
  • Modeling the landslide-generated debris flow from formation to propagation and run-out by considering the effect of vegetation (9 citations)
  • PSO-SVM-based deep displacement prediction of Majiagou landslide considering the deformation hysteresis effect (9 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 Landslides (based on the number of publications) are:

  • Kyoji Sassa (97 papers) published 7 papers at the last edition, 1 more than at the previous edition,
  • Nicola Casagli (39 papers) published 4 papers at the last edition, 1 more than at the previous edition,
  • Hiroyuki Yoshimatsu (35 papers) absent at the last edition,
  • Qiang Xu (35 papers) published 5 papers at the last edition, 1 more than at the previous edition,
  • Gonghui Wang (27 papers) absent 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 Landslides (based on the number of publications) are:

  • Chinese Academy of Sciences (144 papers) published 27 papers at the last edition, 3 less than at the previous edition,
  • Chengdu University of Technology (97 papers) published 20 papers at the last edition, 4 more than at the previous edition,
  • Kyoto University (92 papers) published 3 papers at the last edition, 1 less than at the previous edition,
  • China University of Geosciences (Wuhan) (65 papers) published 11 papers at the last edition, 3 less than at the previous edition,
  • University of Florence (63 papers) published 9 papers at the last edition, 4 more than 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, 10.26% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 40.41% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.16% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.55% of all publications and 33.88% 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

  • A deep learning algorithm using a fully connected sparse autoencoder neural network for landslide susceptibility prediction

    Faming Huang;Jing Zhang;Chuangbing Zhou;Yuhao Wang

    (2020)
    410 Citations
  • Landslide detection from an open satellite imagery and digital elevation model dataset using attention boosted convolutional neural networks

    Shunping Ji;Dawen Yu;Chaoyong Shen;Weile Li

    (2020)
    359 Citations
  • Landslide susceptibility prediction based on a semi-supervised multiple-layer perceptron model

    Faming Huang;Zhongshan Cao;Shui-Hua Jiang;Chuangbing Zhou

    (2020)
    251 Citations
  • Landslide detection in the Himalayas using machine learning algorithms and U-Net

    Unknown

    (2022)
    232 Citations
  • Prediction of a multi-hazard chain by an integrated numerical simulation approach : the Baige landslide, Jinsha River, China

    Xuanmei Fan;Fan Yang;Srikrishnan Siva Subramanian;Qiang Xu

    (2020)
    165 Citations
  • Landslides after wildfire: initiation, magnitude, and mobility

    Francis K. Rengers;Luke A. McGuire;Nina S. Oakley;Jason W. Kean

    (2020)
    159 Citations
  • Assessing the potential of soil moisture measurements for regional landslide early warning

    Adrian Wicki;Peter Lehmann;Christian Hauck;Sonia I. Seneviratne

    (2020)
    148 Citations
  • Landslide susceptibility assessment in complex geological settings: sensitivity to geological information and insights on its parameterization

    Samuele Segoni;Giulio Pappafico;Tania Luti;Filippo Catani

    (2020)
    132 Citations
  • Enhanced dynamic landslide hazard mapping using MT-InSAR method in the Three Gorges Reservoir Area

    (2022)
    123 Citations
  • Detection and segmentation of loess landslides via satellite images: a two-phase framework

    (2022)
    119 Citations

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