What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Optics
The scientist’s investigation covers issues in Interferometry, Seismic interferometry, Seismology, Surface wave and Geophysics.
His Interferometry study combines topics from a wide range of disciplines, such as Waveform and Mathematical analysis.
His Seismic interferometry research entails a greater understanding of Optics.
The concepts of his Optics study are interwoven with issues in Acoustics and Wave equation.
His research combines Transition zone and Seismology.
His Geophysics study combines topics in areas such as Seismic noise, Seismometer and Seismic energy.
His most cited work include:
- Seismic interferometry-turning noise into signal (278 citations)
- Tutorial on seismic interferometry: Part 2 — Underlying theory and new advances (151 citations)
- Modeling of wave propagation in inhomogeneous media. (141 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Seismology, Interferometry, Acoustics, Seismic interferometry and Algorithm.
Seismology is closely attributed to Geophysics in his work.
The subject of his Interferometry research is within the realm of Optics.
His Acoustics study integrates concerns from other disciplines, such as Wave propagation and Amplitude.
The Seismic interferometry study combines topics in areas such as Deconvolution, Seismic wave and Mathematical analysis.
His Algorithm research focuses on Inverse problem and how it connects with Monte Carlo method and Probability density function.
He most often published in these fields:
- Seismology (24.78%)
- Interferometry (20.94%)
- Acoustics (15.93%)
What were the highlights of his more recent work (between 2018-2021)?
- Monte Carlo method (13.57%)
- Seismology (24.78%)
- Algorithm (13.57%)
In recent papers he was focusing on the following fields of study:
Andrew Curtis mostly deals with Monte Carlo method, Seismology, Algorithm, Inverse problem and Probabilistic logic.
His Monte Carlo method research is multidisciplinary, relying on both Tomography, Grain orientation, Computational physics and Composite material.
His Interferometry research extends to the thematically linked field of Seismology.
His work on Seismic interferometry as part of general Interferometry study is frequently linked to Energy source, therefore connecting diverse disciplines of science.
His research investigates the connection between Algorithm and topics such as Artificial neural network that intersect with issues in Seismic velocity.
His research in Inverse problem intersects with topics in Prior probability, Bayesian probability, Bayesian inference, Resolution and Nonlinear system.
Between 2018 and 2021, his most popular works were:
- 1-D, 2-D, and 3-D Monte Carlo Ambient Noise Tomography Using a Dense Passive Seismic Array Installed on the North Sea Seabed (10 citations)
- 1-D, 2-D, and 3-D Monte Carlo Ambient Noise Tomography Using a Dense Passive Seismic Array Installed on the North Sea Seabed (10 citations)
- Seismic Tomography Using Variational Inference Methods (10 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Mathematical analysis
Andrew Curtis spends much of his time researching Monte Carlo method, Seismology, Probabilistic logic, Algorithm and Inverse problem.
His Monte Carlo method research is multidisciplinary, incorporating elements of Ambient noise level, Tomography, Grain orientation and Computational physics.
Andrew Curtis has researched Tomography in several fields, including North sea, Passive seismic, Oil field, Phase velocity and Seabed.
As part of his studies on Seismology, Andrew Curtis frequently links adjacent subjects like Interferometry.
Andrew Curtis interconnects Inference, Bayesian inference, Prior probability and Markov chain Monte Carlo in the investigation of issues within Probabilistic logic.
His Algorithm research focuses on Artificial neural network and how it relates to Seismic noise and Seismic velocity.
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