What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Erosion
Michel Jaboyedoff focuses on Rockfall, Digital elevation model, Geotechnical engineering, Remote sensing and Landslide.
Rockfall is the subject of his research, which falls under Geomorphology.
His studies in Digital elevation model integrate themes in fields like Meteorology, Natural hazard and Geodesy, Scale.
His Geotechnical engineering research includes themes of Mining engineering, Outcrop, Cliff, Orthophoto and Point.
His Remote sensing research is multidisciplinary, relying on both Event, Point cloud, Magnitude and Standard deviation.
His work carried out in the field of Landslide brings together such families of science as Debris and Feature selection.
His most cited work include:
- Use of LIDAR in landslide investigations: a review (568 citations)
- Detection of millimetric deformation using a terrestrial laser scanner: experiment and application to a rockfall event (219 citations)
- Rockfall characterisation and structural protection – a review (207 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Landslide, Rockfall, Geomorphology, Digital elevation model and Lidar.
In his study, Hydrology is inextricably linked to Debris, which falls within the broad field of Landslide.
Rockfall is a subfield of Geotechnical engineering that Michel Jaboyedoff explores.
His biological study focuses on Erosion.
His work focuses on many connections between Digital elevation model and other disciplines, such as Rockslide, that overlap with his field of interest in Discontinuity.
Remote sensing covers Michel Jaboyedoff research in Lidar.
He most often published in these fields:
- Landslide (29.03%)
- Rockfall (23.30%)
- Geomorphology (21.51%)
What were the highlights of his more recent work (between 2016-2021)?
- Landslide (29.03%)
- Rockfall (23.30%)
- Remote sensing (10.04%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Landslide, Rockfall, Remote sensing, Lidar and Geomorphology.
His Landslide study incorporates themes from Remote sensing, Mining engineering and Natural hazard.
His Rockfall research is multidisciplinary, relying on both Change detection, Cliff and Risk assessment.
His research investigates the connection between Remote sensing and topics such as Point cloud that intersect with issues in Structure from motion, Meteorology, Development and Real-time computing.
In his study, Scanner, Geodesy and Typhoon is strongly linked to Range, which falls under the umbrella field of Lidar.
Michel Jaboyedoff combines subjects such as Seismic noise and Seismic velocity with his study of Geomorphology.
Between 2016 and 2021, his most popular works were:
- Low number of fixed somatic mutations in a long-lived oak tree (65 citations)
- Automated Terrestrial Laser Scanning with Near Real-Time Change Detection – Monitoring of the Séchilienne Landslide (43 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:
- Statistics
- Artificial intelligence
- Erosion
His primary areas of investigation include Landslide, Geomorphology, Natural hazard, Rockfall and Remote sensing.
Michel Jaboyedoff has included themes like Surge, Mass flow, Erosion and Remote sensing in his Landslide study.
The various areas that Michel Jaboyedoff examines in his Erosion study include Land cover, Lidar, Surface and Digital elevation model.
His work in the fields of Geomorphology, such as Landslide classification, overlaps with other areas such as Satellite.
His work carried out in the field of Natural hazard brings together such families of science as Hydrology, Identification, Risk assessment and Scale.
His Rockfall research integrates issues from Mining engineering and Change detection.
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