What is he best known for?
The fields of study he is best known for:
- Optics
- Algorithm
- Geometry
The scientist’s investigation covers issues in Mathematical analysis, Optics, Finite-difference time-domain method, Remote sensing and Ground-penetrating radar.
His research on Optics frequently links to adjacent areas such as Computational physics.
The study incorporates disciplines such as Microwave imaging, Microwave and Speedup in addition to Finite-difference time-domain method.
His work carried out in the field of Microwave imaging brings together such families of science as Acoustics, Clutter and Lossy compression.
As part of the same scientific family, Carey M. Rappaport usually focuses on Microwave, concentrating on Electronic engineering and intersecting with Planar.
His studies deal with areas such as Refraction, Surface wave, Radar, Radar imaging and Loam as well as Remote sensing.
His most cited work include:
- A shape reconstruction method for electromagnetic tomography using adjoint fields and level sets (226 citations)
- Time reversal with the FDTD method for microwave breast cancer detection (197 citations)
- Wide-aperture catheter-based microwave cardiac ablation antenna (183 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Optics, Ground-penetrating radar, Acoustics, Radar imaging and Radar.
His Optics study integrates concerns from other disciplines, such as Antenna, Microwave and Dielectric.
His research in Ground-penetrating radar intersects with topics in Scattering, Clutter, Frequency domain, Nondestructive testing and Remote sensing.
His Acoustics study incorporates themes from Transmitter and Electronic engineering.
His studies in Radar imaging integrate themes in fields like Synthetic aperture radar, Computer vision and Artificial intelligence.
His Finite-difference time-domain method research includes elements of Wave propagation and Time domain.
He most often published in these fields:
- Optics (39.13%)
- Ground-penetrating radar (23.75%)
- Acoustics (18.73%)
What were the highlights of his more recent work (between 2012-2020)?
- Radar imaging (18.39%)
- Optics (39.13%)
- Computer vision (9.70%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Radar imaging, Optics, Computer vision, Artificial intelligence and Synthetic aperture radar.
His Optics study combines topics from a wide range of disciplines, such as Radio frequency, Conductor and Dielectric.
Carey M. Rappaport interconnects Extremely high frequency, Ground-penetrating radar and Bandwidth in the investigation of issues within Synthetic aperture radar.
His research investigates the connection between Ground-penetrating radar and topics such as Scattering that intersect with issues in Frequency domain and Finite difference.
The Bistatic radar study combines topics in areas such as Electronic engineering and Remote sensing.
The concepts of his Radar study are interwoven with issues in Acoustics and Antenna.
Between 2012 and 2020, his most popular works were:
- Fourier-Based Imaging for Multistatic Radar Systems (39 citations)
- Sparse Array Optimization Using Simulated Annealing and Compressed Sensing for Near-Field Millimeter Wave Imaging (37 citations)
- Improving Security Screening: A Comparison of Multistatic Radar Configurations for Human Body Imaging (30 citations)
In his most recent research, the most cited papers focused on:
- Optics
- Algorithm
- Geometry
Carey M. Rappaport mainly investigates Radar imaging, Synthetic aperture radar, Optics, Bistatic radar and Computer vision.
He has researched Radar imaging in several fields, including Acoustics, Algorithm and Remote sensing.
His research investigates the link between Remote sensing and topics such as Ground-penetrating radar that cross with problems in Antenna, Impulse response and Clutter.
His work on Physical optics as part of general Optics research is frequently linked to Thermal, thereby connecting diverse disciplines of science.
His biological study spans a wide range of topics, including Radar engineering details, Electronic engineering and Continuous-wave radar.
His Computer vision research is multidisciplinary, incorporating elements of Volume and Artificial intelligence.
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