What is she best known for?
The fields of study she is best known for:
- Plate tectonics
- Artificial intelligence
- Subduction
Marie-Pierre Doin spends much of her time researching Interferometric synthetic aperture radar, Troposphere, Geodesy, Mantle and Geophysics.
Her Interferometric synthetic aperture radar study is associated with Remote sensing.
Her Troposphere research includes themes of Elastic-rebound theory, Seismology and Seismogenic layer.
Her research in Mantle intersects with topics in Smoothing, Seismic wave, Convection, Crust and Lithosphere.
Her studies deal with areas such as Amplitude and Oceanic crust as well as Geophysics.
Marie-Pierre Doin combines subjects such as Slab and Mantle wedge with her study of Oceanic crust.
Her most cited work include:
- A comparison of methods for the modeling of thermochemical convection (216 citations)
- Corrections of stratified tropospheric delays in SAR interferometry: Validation with global atmospheric models (211 citations)
- Mantle convection and stability of depleted and undepleted continental lithosphere (170 citations)
What are the main themes of her work throughout her whole career to date?
Interferometric synthetic aperture radar, Geodesy, Seismology, Lithosphere and Geophysics are her primary areas of study.
Her study explores the link between Interferometric synthetic aperture radar and topics such as Digital elevation model that cross with problems in Deformation monitoring.
Her Geodesy research integrates issues from Troposphere and Deformation.
Her study in Lithosphere is interdisciplinary in nature, drawing from both Geomorphology, Seafloor spreading and Mantle.
Her work carried out in the field of Mantle brings together such families of science as Subduction, Asthenosphere, Convection and Crust.
Marie-Pierre Doin interconnects Magmatism, Lithospheric flexure, Mantle convection and Oceanic crust in the investigation of issues within Geophysics.
She most often published in these fields:
- Interferometric synthetic aperture radar (42.86%)
- Geodesy (37.50%)
- Seismology (24.11%)
What were the highlights of her more recent work (between 2017-2021)?
- Geodesy (37.50%)
- Interferometric synthetic aperture radar (42.86%)
- Seismology (24.11%)
In recent papers she was focusing on the following fields of study:
Her main research concerns Geodesy, Interferometric synthetic aperture radar, Seismology, Time series and Deformation.
In most of her Geodesy studies, her work intersects topics such as Source separation.
Her Interferometric synthetic aperture radar research is under the purview of Interferometry.
Her Seismology and Rockslide and Fault investigations all form part of her Seismology research activities.
Her Fault research is multidisciplinary, incorporating elements of Strain partitioning and Tectonics.
Marie-Pierre Doin has researched Deformation in several fields, including Geodetic datum, Active fault and Tectonophysics.
Between 2017 and 2021, her most popular works were:
- Inversion of deformation fields time-series from optical images, and application to the long term kinematics of slow-moving landslides in Peru (26 citations)
- Strain Partitioning and Present‐Day Fault Kinematics in NW Tibet From Envisat SAR Interferometry (22 citations)
- Ice loss in the Northeastern Tibetan Plateau permafrost as seen by 16 yr of ESA SAR missions (4 citations)
In her most recent research, the most cited papers focused on:
- Plate tectonics
- Artificial intelligence
- Thermodynamics
Her primary areas of study are Geodesy, Interferometric synthetic aperture radar, Interferometry, Kinematics and Algorithm.
The study incorporates disciplines such as Independent component analysis and Source separation in addition to Interferometric synthetic aperture radar.
Her research links Fault with Interferometry.
Among her Kinematics studies, you can observe a synthesis of other disciplines of science such as Strain partitioning, Inversion, Precipitation, Term and Decorrelation.
Within one scientific family, she focuses on topics pertaining to Landslide under Inversion, and may sometimes address concerns connected to Image resolution and Remote sensing.
Her Synthetic data and Gaussian noise study in the realm of Algorithm connects with subjects such as Norm and Satellite Image Time Series.
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