What is he best known for?
The fields of study he is best known for:
- Optics
- Laser
- Electrical engineering
Michael R. Watts mostly deals with Optics, Optoelectronics, Resonator, Silicon and Silicon photonics.
He focuses mostly in the field of Optics, narrowing it down to matters related to Phased-array optics and, in some cases, Beam steering.
He interconnects Coupled mode theory, Multiplexing, Microphotonics and Optical filter in the investigation of issues within Resonator.
His studies deal with areas such as Biophotonics, Optical fiber and Photonic crystal as well as Microphotonics.
His Silicon research is multidisciplinary, incorporating elements of Integrated optics, Data transmission and Optical switch.
Michael R. Watts studied Silicon photonics and Photodiode that intersect with Microprocessor, Dark current and Responsivity.
His most cited work include:
- Large-scale nanophotonic phased array (629 citations)
- Polarization-transparent microphotonic devices in the strong confinement limit (432 citations)
- Polarization-transparent microphotonic devices in the strong confinement limit (432 citations)
What are the main themes of his work throughout his whole career to date?
Michael R. Watts mainly investigates Optoelectronics, Optics, Silicon photonics, Silicon and Resonator.
His study on Optoelectronics is mostly dedicated to connecting different topics, such as Laser.
His biological study spans a wide range of topics, including Phased-array optics, Phased array and Phase.
As a part of the same scientific family, he mostly works in the field of Silicon photonics, focusing on CMOS and, on occasion, Chip.
His work deals with themes such as Bandwidth, Data transmission and Modulation, which intersect with Silicon.
His Resonator study incorporates themes from Integrated optics, Drop, Wavelength-division multiplexing and Optical filter.
He most often published in these fields:
- Optoelectronics (60.87%)
- Optics (57.76%)
- Silicon photonics (31.06%)
What were the highlights of his more recent work (between 2017-2021)?
- Optoelectronics (60.87%)
- Silicon photonics (31.06%)
- Optics (57.76%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Optoelectronics, Silicon photonics, Optics, Phased-array optics and Laser.
Optoelectronics is a component of his Silicon, Photonics, Erbium, Waveguide and Supercontinuum studies.
His Silicon photonics research incorporates elements of Photonic integrated circuit, Optical frequencies, Kerr effect, Detector and Mode-locking.
His Optics research includes elements of Phased array and Phase.
Michael R. Watts has researched Phased-array optics in several fields, including Augmented reality, Free-space optical communication, Electronic engineering, CMOS and Beam steering.
His work in Laser tackles topics such as Waveguide which are related to areas like Antenna, Absorption, Frequency response, Excited state and Excitation.
Between 2017 and 2021, his most popular works were:
- Long-Range LiDAR and Free-Space Data Communication With High-Performance Optical Phased Arrays (77 citations)
- Octave-spanning coherent supercontinuum generation in silicon on insulator from 1.06 μm to beyond 2.4 μm (62 citations)
- Monolithically integrated erbium-doped tunable laser on a CMOS-compatible silicon photonics platform (36 citations)
In his most recent research, the most cited papers focused on:
- Optics
- Laser
- Electrical engineering
His primary scientific interests are in Optics, Silicon photonics, Optoelectronics, Laser and Photonics.
The study incorporates disciplines such as Phased array and Silicon nitride in addition to Optics.
He combines subjects such as Thin film, Sputtering and Q factor, Resonator with his study of Silicon nitride.
His Optoelectronics study incorporates themes from Port and Interferometry.
He interconnects Nanophotonics, Wideband, Optical filter, Erbium and CMOS in the investigation of issues within Photonics.
His biological study spans a wide range of topics, including Supercontinuum and Optical communication.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
