What is she best known for?
The fields of study she is best known for:
- Plate tectonics
- Fault
- Artificial intelligence
Her primary areas of investigation include Seismology, Rift, Plate tectonics, Tectonics and Paleomagnetism.
Her research in Seismology is mostly focused on Normal fault.
Her study in the fields of East African Rift under the domain of Rift overlaps with other disciplines such as Population, Fault propagation and Linear elastic fracture mechanics.
Her East African Rift research incorporates themes from Mantle plume, Deccan Traps, Continental crust and Oceanic crust.
Her Plate tectonics study combines topics from a wide range of disciplines, such as Transform fault, Echelon formation, Lithosphere and Tectonophysics.
The concepts of her Tectonics study are interwoven with issues in Mantle and Volcanic rock.
Her most cited work include:
- On causal links between flood basalts and continental breakup (573 citations)
- Slip accumulation and lateral propagation of active normal faults in Afar (184 citations)
- Propagation of rifting along the Arabia‐Somalia Plate Boundary: The Gulfs of Aden and Tadjoura (163 citations)
What are the main themes of her work throughout her whole career to date?
Isabelle Manighetti focuses on Seismology, Fault, Rift, Tectonics and Large earthquakes.
As part of her studies on Seismology, Isabelle Manighetti frequently links adjacent subjects like Alluvium.
Her Rift study incorporates themes from Paleomagnetism, Volcano and Basalt.
Her Active fault study in the realm of Tectonics connects with subjects such as Current and Deformation.
Her research integrates issues of Segmentation and Lidar data in her study of Large earthquakes.
Isabelle Manighetti usually deals with Normal fault and limits it to topics linked to Fault scarp and Geomorphology, Terrace and Strike-slip tectonics.
She most often published in these fields:
- Seismology (74.44%)
- Fault (20.00%)
- Rift (20.00%)
What were the highlights of her more recent work (between 2017-2021)?
- Seismology (74.44%)
- Artificial intelligence (4.44%)
- Tectonics (16.67%)
In recent papers she was focusing on the following fields of study:
Isabelle Manighetti spends much of her time researching Seismology, Artificial intelligence, Tectonics, Fault and Deep learning.
Her work on Lidar data expands to the thematically related Seismology.
Her study looks at the relationship between Artificial intelligence and fields such as Pattern recognition, as well as how they intersect with chemical problems.
Her biological study spans a wide range of topics, including Geodetic datum, Satellite geodesy, Scaling and Tectonophysics.
The various areas that Isabelle Manighetti examines in her Fault study include Pixel, Earthquake magnitude and Maturity.
Her Deep learning research is multidisciplinary, relying on both Digital surface, Computational geophysics and Fuzzy logic.
Between 2017 and 2021, her most popular works were:
- “3D_Fault_Offsets,” a Matlab Code to Automatically Measure Lateral and Vertical Fault Offsets in Topographic Data: Application to San Andreas, Owens Valley, and Hope Faults (8 citations)
- Repeated giant earthquakes on the Wairarapa fault, New Zealand, revealed by Lidar-based paleoseismology. (2 citations)
- Improving Early Estimates of Large Earthquake's Final Fault Lengths and Magnitudes Leveraging Source Fault Structural Maturity Information (1 citations)
In her most recent research, the most cited papers focused on:
- Plate tectonics
- Fault
- Volcano
Seismology, Art history, Tribute, Earthquake rupture and Fault are her primary areas of study.
She combines subjects such as Lidar and Lidar data with her study of Seismology.
Her Earthquake rupture research is multidisciplinary, incorporating elements of Coseismic slip, Earthquake magnitude and Maturity.
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