Geomatics, Natural Hazards and Risk - Google Scholar Metrics

h5-index:26
h5-median:33

h5-index is the h-index for articles published in the last 5 complete years. It is the largest number h such that h articles published in 2014-2018 have at least h citations each.hide

h5-median for a publication is the median number of citations for the articles that make up its h5-index.hide

#6 Emergency Management

Title / Author	Cited by	Year
Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis O Rahmati, H Zeinivand, M Besharat Geomatics, Natural Hazards and Risk 7 (3), 1000-1017	72	2016
GIS-based landslide susceptibility modelling: a comparative assessment of kernel logistic regression, Naïve-Bayes tree, and alternating decision tree models W Chen, X Xie, J Peng, J Wang, Z Duan, H Hong Geomatics, Natural Hazards and Risk 8 (2), 950-973	60	2017
A novel hybrid evidential belief function-based fuzzy logic model in spatial prediction of rainfall-induced shallow landslides in the Lang Son city area (Vietnam) DT Bui, B Pradhan, I Revhaug, DB Nguyen, HV Pham, QN Bui Geomatics, Natural Hazards and Risk 6 (3), 243-271	48	2015
The use of satellite data for agriculture drought risk quantification in Ukraine S Skakun, N Kussul, A Shelestov, O Kussul Geomatics, Natural Hazards and Risk 7 (3), 901-917	48	2016
Multipurpose UAV for search and rescue operations in mountain avalanche events M Silvagni, A Tonoli, E Zenerino, M Chiaberge Geomatics, Natural Hazards and Risk 8 (1), 18-33	48	2017
A novel hybrid artificial intelligence approach based on the rotation forest ensemble and naïve Bayes tree classifiers for a landslide susceptibility assessment in Langao County, China W Chen, A Shirzadi, H Shahabi, BB Ahmad, S Zhang, H Hong, N Zhang Geomatics, Natural Hazards and Risk 8 (2), 1955-1977	45	2017
Ensemble machine-learning-based geospatial approach for flood risk assessment using multi-sensor remote-sensing data and GIS H Mojaddadi, B Pradhan, H Nampak, N Ahmad, AH Ghazali Geomatics, Natural Hazards and Risk 8 (2), 1080-1102	44	2017
A comparative assessment of prediction capabilities of modified analytical hierarchy process (M-AHP) and Mamdani fuzzy logic models using Netcad-GIS for forest fire susceptibility mapping H Pourghasemi, M Beheshtirad, B Pradhan Geomatics, Natural Hazards and Risk 7 (2), 861-885	39	2016
First insights on the potential of Sentinel-1 for landslides detection A Barra, O Monserrat, P Mazzanti, C Esposito, M Crosetto, ... Geomatics, Natural Hazards and Risk 7 (6), 1874-1883	38	2016
Experimental assessment of post-processed kinematic Precise Point Positioning method for structural health monitoring CO Yigit Geomatics, Natural Hazards and Risk 7 (1), 360-383	36	2016
Landslide susceptibility mapping by comparing weight of evidence, fuzzy logic, and frequency ratio methods V Vakhshoori, M Zare Geomatics, Natural Hazards and Risk 7 (5), 1731-1752	34	2016
UAV photogrammetry in the post-earthquake scenario: case studies in L'Aquila D Dominici, M Alicandro, V Massimi Geomatics, Natural Hazards and Risk 8 (1), 87-103	34	2017
Performance of low-cost GNSS receiver for landslides monitoring: test and results A Cina, M Piras Geomatics, Natural Hazards and Risk 6 (5-7), 497-514	33	2015
Flood hazards in an urbanizing watershed in Riyadh, Saudi Arabia HO Sharif, FH Al-Juaidi, A Al-Othman, I Al-Dousary, E Fadda, ... Geomatics, Natural Hazards and Risk 7 (2), 702-720	33	2016
Using ALOS PALSAR derived high-resolution DInSAR to detect slow-moving landslides in tropical forest: Cameron Highlands, Malaysia MN Jebur, B Pradhan, MS Tehrany Geomatics, Natural Hazards and Risk 6 (8), 741-759	32	2015
Spatial vulnerability assessment of floods in the coastal regions of Bangladesh DC Roy, T Blaschke Geomatics, Natural Hazards and Risk 6 (1), 21-44	32	2015
A novel ensemble classifier of rotation forest and Naïve Bayer for landslide susceptibility assessment at the Luc Yen district, Yen Bai Province (Viet Nam) using GIS BT Pham, DT Bui, MB Dholakia, I Prakash, HV Pham, K Mehmood, HQ Le Geomatics, Natural Hazards and Risk 8 (2), 649-671	31	2017
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) B Kalantar, B Pradhan, SA Naghibi, A Motevalli, S Mansor Geomatics, Natural Hazards and Risk 9 (1), 49-69	30	2018
Mapping regional forest fire probability using artificial neural network model in a Mediterranean forest ecosystem O Satir, S Berberoglu, C Donmez Geomatics, Natural Hazards and Risk 7 (5), 1645-1658	30	2016
Modelling spatial patterns of wildfire occurrence in South-Eastern Australia Y Zhang, S Lim, JJ Sharples Geomatics, Natural Hazards and Risk 7 (6), 1800-1815	30	2016

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Dates and citation counts are estimated and are determined automatically by a computer program.