What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Optics
His primary scientific interests are in Acoustics, Underwater acoustics, Scattering, Friction stir welding and Material flow.
His work on Computational acoustics as part of general Acoustics research is frequently linked to Numerical models, Government and Field, thereby connecting diverse disciplines of science.
His Underwater acoustics research incorporates elements of Plane wave, Surface, Diffraction, Specular reflection and Algorithm.
As a part of the same scientific study, he usually deals with the Scattering, concentrating on Mathematical analysis and frequently concerns with Trigonometric functions and Displacement.
Henrik Schmidt focuses mostly in the field of Friction stir welding, narrowing it down to matters related to Mechanics and, in some cases, Contact force, Void and Torque.
His Welding research integrates issues from Butt joint, Flow visualization and Shear.
His most cited work include:
- Computational Ocean Acoustics (663 citations)
- An analytical model for the heat generation in friction stir welding (517 citations)
- Computational Ocean Acoustics (516 citations)
What are the main themes of his work throughout his whole career to date?
Henrik Schmidt spends much of his time researching Acoustics, Underwater, Scattering, Sonar and Optics.
His Acoustics study deals with Wave propagation intersecting with Wavenumber.
His study in Underwater is interdisciplinary in nature, drawing from both Marine engineering, Real-time computing and Remote sensing.
His work deals with themes such as Simulation and Command and control, which intersect with Real-time computing.
The Scattering study combines topics in areas such as Computational physics, Mathematical analysis and Bistatic radar.
In the subject of general Mathematical analysis, his work in Boundary value problem and Wave equation is often linked to Boundary, thereby combining diverse domains of study.
He most often published in these fields:
- Acoustics (38.36%)
- Underwater (22.51%)
- Scattering (21.74%)
What were the highlights of his more recent work (between 2013-2021)?
- Underwater (22.51%)
- Real-time computing (12.53%)
- Acoustics (38.36%)
In recent papers he was focusing on the following fields of study:
His main research concerns Underwater, Real-time computing, Acoustics, Remote sensing and Bistatic radar.
The study incorporates disciplines such as Inertial navigation system, Global Positioning System and Range in addition to Underwater.
His study in Real-time computing is interdisciplinary in nature, drawing from both Tracking, Underwater acoustic positioning system, Hydrophone and Command and control.
His research on Acoustics focuses in particular on Speed of sound.
His Remote sensing study integrates concerns from other disciplines, such as Ambient noise level and Horizontal plane.
His Bistatic radar research incorporates elements of Sampling, Scattering and Data collection.
Between 2013 and 2021, his most popular works were:
- One-way travel-time inverted ultra-short baseline localization for low-cost autonomous underwater vehicles (25 citations)
- Exploiting Adaptive and Collaborative AUV Autonomy for Detection and Characterization of Internal Waves (25 citations)
- Classification of underwater targets from autonomous underwater vehicle sampled bistatic acoustic scattered fields (17 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Optics
Underwater, Real-time computing, Remote sensing, Beamforming and Acoustics are his primary areas of study.
His Underwater research is multidisciplinary, incorporating perspectives in Payload, Inertial navigation system, Marine engineering, Asynchronous communication and Vehicle dynamics.
The concepts of his Real-time computing study are interwoven with issues in Network simulation, Hardware-in-the-loop simulation, Global Positioning System and Command and control.
Henrik Schmidt interconnects Underwater acoustic communication, Ambient noise level, Tracking and Scattering in the investigation of issues within Remote sensing.
His biological study spans a wide range of topics, including Particle filter and Hydrophone.
His specific area of interest is Acoustics, where Henrik Schmidt studies Vector sensor.
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