Inferred edges come from two machine sources: sweeps of open repository
metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is
labelled with the one it came from. Neither is a complete citation index — absence here is not
evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
SHIA_Landslide: a distributed conceptual and physically based model to forecast the temporal and spatial occurrence of shallow landslides triggered by rainfall in tropical and mountainous basins
Counteracting flawed landslide data in statistically based landslide susceptibility modelling for very large areas: a national-scale assessment for Austria
An hourly shallow landslide warning model developed by combining automatic landslide spatial susceptibility and temporal rainfall threshold predictions
Landslide susceptibility maps of Italy: Lesson learnt from dealing with multiple landslide types and the uneven spatial distribution of the national inventory
Climate-physiographically differentiated Pan-European landslide susceptibility assessment using spatial multi-criteria evaluation and transnational landslide information
Landslide susceptibility analysis in central Vietnam based on an incomplete landslide inventory: Comparison of a new method to calculate weighting factors by means of bivariate statistics
A semi-supervised multi-temporal landslide and flash flood event detection methodology for unexplored regions using massive satellite image time series
Correlation does not imply geomorphic causation in data-driven landslide susceptibility modelling – Benefits of exploring landslide data collection effects
Landslide hazard assessment in parts of upper Bhagirathi Basin: a comparative study using earth observation and machine learning based initiatives in perspective of slope instability
Dynamic landslide risk assessment (DLRA) using SBAS-InSAR method, integrated with geo-environmental data as temporal triggers in the Northwestern Himalayas, Pakistan
Space-time variability modelling of landslide susceptibility for strategic infrastructure under changing climate scenarios: The case study of the mega clean energy transmission network (Yangtze River Basin, China)
Residential community-based quantitative risk assessment of rainfall-induced loess landslides for the suburban residential areas of Chengguan district in Lanzhou city with an innovative framework
Multi-scenario assessment of future landslide susceptibility and relative exposure burden under Shared Socioeconomic Pathways in the Wumeng Mountains Region, Southwest China
The Impact of Feature Selection on XGBoost Performance in Landslide Susceptibility Mapping Using an Extended Set of Features: A Case Study from Southern Poland
Dynamic spatial modelling of mass movement impacts for large areas: a data-driven framework for impact-based early warning
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.