What is he best known for?
The fields of study he is best known for:
- Algorithm
- Statistics
- Artificial intelligence
His main research concerns Algorithm, Mathematical optimization, Interpolation, Inverse problem and Deconvolution.
In the field of Algorithm, his study on Fast Fourier transform overlaps with subjects such as Data processing.
He has researched Mathematical optimization in several fields, including Filter, Regularization, Rank, Hankel matrix and Noise.
His research integrates issues of Sampling, Adaptive filter and Tensor in his study of Interpolation.
His Inverse problem study combines topics from a wide range of disciplines, such as Seismic wave, Quadratic equation, Radon transform, Conjugate gradient method and Function.
His Fourier transform research is multidisciplinary, incorporating perspectives in Norm, Extrapolation, Levinson recursion and Aliasing.
His most cited work include:
- Simultaneous seismic data denoising and reconstruction via multichannel singular spectrum analysis (371 citations)
- High‐resolution velocity gathers and offset space reconstruction (321 citations)
- Minimum weighted norm interpolation of seismic records (310 citations)
What are the main themes of his work throughout his whole career to date?
Mauricio D. Sacchi focuses on Algorithm, Mathematical optimization, Interpolation, Mathematical analysis and Inverse problem.
His Algorithm research incorporates themes from Fourier transform, Wavelet and Signal processing.
As part of his studies on Mathematical optimization, Mauricio D. Sacchi frequently links adjacent subjects like Rank.
He interconnects Data reconstruction, Alias, Noise reduction and Singular spectrum analysis in the investigation of issues within Interpolation.
His work carried out in the field of Mathematical analysis brings together such families of science as Seismic migration and Operator.
His research in Inverse problem intersects with topics in Radon transform and Wave equation.
He most often published in these fields:
- Algorithm (52.22%)
- Mathematical optimization (16.39%)
- Interpolation (13.33%)
What were the highlights of his more recent work (between 2017-2021)?
- Algorithm (52.22%)
- Singular spectrum analysis (6.94%)
- Mathematical analysis (10.83%)
In recent papers he was focusing on the following fields of study:
Mauricio D. Sacchi mostly deals with Algorithm, Singular spectrum analysis, Mathematical analysis, Noise reduction and Acoustics.
A large part of his Algorithm studies is devoted to Regularization.
His Singular spectrum analysis study which covers Data reconstruction that intersects with Tensor completion and Prestack.
His study on Mathematical analysis also encompasses disciplines like
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Full waveform which connect with Geophysics, Waveform inversion, Computational seismology, Inverse theory and Wave propagation,
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Seismic migration which is related to area like Superposition principle and Operator.
The various areas that he examines in his Noise reduction study include Grid, Noise and Interpolation.
His Acoustics study also includes fields such as
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Attenuation that intertwine with fields like Deep learning,
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Cortical bone together with Bone model, Nonlinear system and Inverse problem,
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Signal processing together with Data acquisition, Quaternion, Linear prediction, Noise and Fourier transform.
Between 2017 and 2021, his most popular works were:
- Automatic velocity analysis using convolutional neural network and transfer learning (15 citations)
- Ground-roll Attenuation Using Curvelet Downscaling (14 citations)
- Robust tensor-completion algorithm for 5D seismic-data reconstruction (12 citations)
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