What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Geographic information system
- Cartography
His primary areas of investigation include Landslide, Cartography, Geographic information system, Scale and Natural hazard.
His Landslide study is related to the wider topic of Geomorphology.
His Cartography research integrates issues from Slope stability, Common spatial pattern, Landslide susceptibility, Spatial variability and Remote sensing.
His Remote sensing research incorporates elements of Hazard mapping and Instability.
His Geographic information system research is multidisciplinary, relying on both Hazard map, Hazard analysis and Terrain.
The Scale study combines topics in areas such as Civil engineering, Land use, Environmental resource management, Probabilistic modelling and Hydrogeology.
His most cited work include:
- Landslide hazard and risk zonation—why is it still so difficult? (733 citations)
- Slope instability recognition, analysis, and zonation (482 citations)
- Recommendations for the quantitative analysis of landslide risk (449 citations)
What are the main themes of his work throughout his whole career to date?
C.J. van Westen focuses on Landslide, Cartography, Hydrology, Remote sensing and Debris flow.
C.J. van Westen has researched Landslide in several fields, including Debris, Hazard analysis and Geographic information system.
His Cartography study frequently draws connections to other fields, such as Natural hazard.
C.J. van Westen has included themes like Vulnerability assessment and Environmental resource management in his Natural hazard study.
C.J. van Westen studies Remote sensing, a branch of Remote sensing.
His work on Debris flow is being expanded to include thematically relevant topics such as Run-out.
He most often published in these fields:
- Landslide (41.79%)
- Cartography (11.07%)
- Hydrology (10.36%)
What were the highlights of his more recent work (between 2015-2021)?
- Landslide (41.79%)
- Hydrology (10.36%)
- Natural hazard (8.57%)
In recent papers he was focusing on the following fields of study:
C.J. van Westen mainly investigates Landslide, Hydrology, Natural hazard, Debris and Risk analysis.
His studies deal with areas such as Cartography, Hazard analysis and Geodesy as well as Landslide.
His work in Cartography addresses issues such as Land use, which are connected to fields such as Collaborative mapping.
His Natural hazard study combines topics from a wide range of disciplines, such as Natural, Agriculture and Scale.
His work on Debris flow as part of general Debris study is frequently linked to Volume measurement, bridging the gap between disciplines.
His study looks at the relationship between Risk analysis and topics such as Decision support system, which overlap with Geospatial analysis, Risk analysis and Spatial planning.
Between 2015 and 2021, his most popular works were:
- Integration of two-phase solid fluid equations in a catchment model for flashfloods, debris flows and shallow slope failures (38 citations)
- Analyzing successive landslide dam formation by different triggering mechanisms: The case of the Tangjiawan landslide, Sichuan, China (26 citations)
- Multi-scale debris flow vulnerability assessment and direct loss estimation of buildings in the Eastern Italian Alps (18 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Geographic information system
- Landslide
His scientific interests lie mostly in Landslide, Natural hazard, Cartography, Hazard analysis and Debris.
His Landslide research includes themes of Monsoon and Flood myth.
His study in Natural hazard is interdisciplinary in nature, drawing from both Aerial photography, Decision support system, Geospatial analysis and Process.
C.J. van Westen interconnects Change detection and Natural disaster in the investigation of issues within Cartography.
His Hazard analysis research includes elements of Event, Seismic hazard and Bayesian probability.
His work on Debris flow as part of his general Debris study is frequently connected to Scaling law, thereby bridging the divide between different branches of science.
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