What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Geotechnical engineering
His primary scientific interests are in Geotechnical engineering, Constitutive equation, Plasticity, Suction and Oedometer test.
His work deals with themes such as Expansive clay, Wetting and Stress, which intersect with Geotechnical engineering.
His work carried out in the field of Constitutive equation brings together such families of science as Elasticity, Mathematical model, Breakage and Applied mathematics.
His Mathematical model research incorporates elements of Softening point, Structural engineering, Consolidation, Stress–strain curve and Soil mechanics.
His Plasticity research includes themes of Soil water, Degree of saturation, Softening, State variable and Mechanics.
His studies examine the connections between Oedometer test and genetics, as well as such issues in Bentonite, with regards to Shrinkage and Compression.
His most cited work include:
- A Constitutive Model for Partially Saturated Soils (1672 citations)
- A framework for the behaviour of unsaturated expansive clays (476 citations)
- Numerical formulation for a simulator (CODE_BRIGHT) for the coupled analysis of saline media (419 citations)
What are the main themes of his work throughout his whole career to date?
Eduardo Alonso focuses on Geotechnical engineering, Artificial intelligence, Constitutive equation, Landslide and Pore water pressure.
His Geotechnical engineering research integrates issues from Expansive clay, Soil water and Suction.
His Suction study incorporates themes from Wetting, Bentonite and Stress.
The various areas that he examines in his Artificial intelligence study include Associative learning and Machine learning.
His research on Constitutive equation frequently connects to adjacent areas such as Mathematical model.
His Landslide research incorporates themes from Brittleness and Mechanics, Instability.
He most often published in these fields:
- Geotechnical engineering (45.86%)
- Artificial intelligence (15.19%)
- Constitutive equation (8.56%)
What were the highlights of his more recent work (between 2015-2021)?
- Geotechnical engineering (45.86%)
- Artificial intelligence (15.19%)
- Landslide (7.73%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Geotechnical engineering, Artificial intelligence, Landslide, Pore water pressure and Machine learning.
His Geotechnical engineering study combines topics in areas such as Soil water, Instability and Stress.
His study in Stress is interdisciplinary in nature, drawing from both Triaxial shear test and Oedometer test.
His Artificial intelligence research is multidisciplinary, incorporating perspectives in Associative learning, Pattern recognition and Set.
His Landslide study integrates concerns from other disciplines, such as Mechanics and Thermal.
His study on Pore water pressure also encompasses disciplines like
- Consolidation which is related to area like Hydraulic conductivity,
- Permeability and related Porous medium and Compressibility.
Between 2015 and 2021, his most popular works were:
- Water retention and volumetric characteristics of intact and re-compacted loess (56 citations)
- The surgical safety checklist and patient outcomes after surgery: a prospective observational cohort study, systematic review and meta-analysis (44 citations)
- Volume changes and mechanical degradation of a compacted expansive soil under freeze-thaw cycles (43 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Machine learning
Eduardo Alonso mostly deals with Geotechnical engineering, Artificial intelligence, Machine learning, Landslide and Shearing.
His Geotechnical engineering research is mostly focused on the topic Permeability.
His Deep learning, Convolutional neural network, Representation and Reinforcement learning study, which is part of a larger body of work in Artificial intelligence, is frequently linked to Affinity propagation, bridging the gap between disciplines.
As a part of the same scientific study, Eduardo Alonso usually deals with the Machine learning, concentrating on Neuroimaging and frequently concerns with Resting state fMRI and Discriminative model.
As part of one scientific family, Eduardo Alonso deals mainly with the area of Landslide, narrowing it down to issues related to the Pore water pressure, and often Instability, Reservoir water and Numerical analysis.
His research in Shearing intersects with topics in Shear and Mechanics.
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