What is he best known for?
The fields of study he is best known for:
- Mathematical analysis
- Optics
- Algebra
His primary areas of investigation include Ground-penetrating radar, Radar, Optics, Remote sensing and Acoustics.
The study incorporates disciplines such as Wave propagation, Soil science and Water content in addition to Ground-penetrating radar.
His Radar study combines topics from a wide range of disciplines, such as Transfer function, Inverse problem, Horn antenna, Frequency domain and Dielectric.
His studies deal with areas such as Mathematical analysis and Cross-correlation as well as Optics.
His Remote sensing research incorporates elements of Time domain, Radar imaging and Antenna.
His work focuses on many connections between Acoustics and other disciplines, such as Function, that overlap with his field of interest in Scattering.
His most cited work include:
- Modeling of ground-penetrating Radar for accurate characterization of subsurface electric properties (362 citations)
- Marchenko imagingMarchenko imaging (165 citations)
- Seismic interferometry by crosscorrelation and by multidimensional deconvolution: a systematic comparison (152 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Ground-penetrating radar, Remote sensing, Optics, Radar and Acoustics.
His Ground-penetrating radar course of study focuses on Soil science and Hydrogeology and Geotechnical engineering.
His biological study spans a wide range of topics, including Radar imaging and Antenna.
His Optics research includes elements of Mathematical analysis and Permittivity.
As a part of the same scientific study, Evert Slob usually deals with the Radar, concentrating on Frequency domain and frequently concerns with Time domain.
Evert Slob works mostly in the field of Acoustics, limiting it down to concerns involving Interferometry and, occasionally, Geomorphology.
He most often published in these fields:
- Ground-penetrating radar (32.57%)
- Remote sensing (16.91%)
- Optics (15.45%)
What were the highlights of his more recent work (between 2015-2021)?
- Reflection (13.36%)
- Mathematical analysis (12.53%)
- Algorithm (7.72%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Reflection, Mathematical analysis, Algorithm, Acoustics and Multiple.
The various areas that Evert Slob examines in his Mathematical analysis study include Function, Green's function, Point and Dissipative system.
His Dissipative system study deals with Dissipation intersecting with Optics.
His work on Reflector and Deconvolution as part of his general Optics study is frequently connected to Electromagnetics, thereby bridging the divide between different branches of science.
Evert Slob integrates many fields in his works, including Lossless compression and Ground-penetrating radar.
Evert Slob interconnects Remote sensing, Remote sensing, Moisture, Water content and Hydrogeology in the investigation of issues within Ground-penetrating radar.
Between 2015 and 2021, his most popular works were:
- On the role of multiples in Marchenko imaging (44 citations)
- Accounting for free-surface multiples in Marchenko imaging (33 citations)
- Implementation of the Marchenko method (32 citations)
In his most recent research, the most cited papers focused on:
- Mathematical analysis
- Optics
- Electrical engineering
Evert Slob mainly investigates Reflection, Mathematical analysis, Algorithm, Scattering and Electromagnetics.
Evert Slob has researched Reflection in several fields, including Inverse scattering problem, Data-driven, Multiple and Acoustic wave.
His study on Multiple is mostly dedicated to connecting different topics, such as Optics.
In general Optics, his work in Deconvolution and Isotropy is often linked to Interface and Focal point linking many areas of study.
His research integrates issues of Amplitude, Function and Free surface in his study of Mathematical analysis.
His Algorithm research is multidisciplinary, relying on both Seismic migration and Image.
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