What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Quantum mechanics
- Amplifier
Frank Ellinger spends much of his time researching Electrical engineering, Electronic engineering, Amplifier, CMOS and Monolithic microwave integrated circuit.
Frank Ellinger has included themes like Optoelectronics and Low-power electronics in his Electrical engineering study.
His Electronic engineering study combines topics from a wide range of disciplines, such as Automatic gain control, Electronic circuit, Bit error rate and Transceiver.
His Amplifier research incorporates elements of Cutoff frequency and Transponder.
His CMOS research includes themes of Transimpedance amplifier and Ultra-wideband.
Frank Ellinger has researched Monolithic microwave integrated circuit in several fields, including Phase shift module, MESFET and Antenna.
His most cited work include:
- 26-42 GHz SOI CMOS low noise amplifier (131 citations)
- A 100-mW 4/spl times/10 Gb/s transceiver in 80-nm CMOS for high-density optical interconnects (128 citations)
- A low-power 20-GHz 52-dB/spl Omega/ transimpedance amplifier in 80-nm CMOS (121 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Electrical engineering, Electronic engineering, Amplifier, Optoelectronics and CMOS.
His Electrical engineering study frequently involves adjacent topics like Power.
His work focuses on many connections between Electronic engineering and other disciplines, such as Phase-locked loop, that overlap with his field of interest in Phase noise.
His Optoelectronics study incorporates themes from Phase shift module and Transistor.
The concepts of his CMOS study are interwoven with issues in Vertical-cavity surface-emitting laser, Silicon on insulator, Inductor and Low-power electronics.
His studies in Noise figure integrate themes in fields like Low-noise amplifier, Monolithic microwave integrated circuit and Impedance matching.
He most often published in these fields:
- Electrical engineering (48.40%)
- Electronic engineering (41.65%)
- Amplifier (24.96%)
What were the highlights of his more recent work (between 2018-2021)?
- Optoelectronics (23.95%)
- Electrical engineering (48.40%)
- CMOS (22.60%)
In recent papers he was focusing on the following fields of study:
Frank Ellinger focuses on Optoelectronics, Electrical engineering, CMOS, Amplifier and Power.
His research in Optoelectronics intersects with topics in Transistor, BiCMOS, Inductor, Monolithic microwave integrated circuit and Chip.
His Electrical engineering research integrates issues from Electricity generation, Figure of merit and Silicon-germanium.
The study incorporates disciplines such as Silicon on insulator, Soi cmos and Voltage, Capacitor in addition to CMOS.
His Amplifier research includes elements of Bandwidth and Wideband.
His research integrates issues of Phase, Topology, Energy, Signal and Electronic engineering in his study of Power.
Between 2018 and 2021, his most popular works were:
- A 53-Gbit/s Optical Receiver Frontend With 0.65 pJ/bit in 28-nm Bulk-CMOS (13 citations)
- Architecture and Advanced Electronics Pathways Toward Highly Adaptive Energy- Efficient Computing (9 citations)
- Frequency Multiplication With Adjustable Waveform Shaping Demonstrated at 200 GHz (7 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Amplifier
- Telecommunications
Optoelectronics, Amplifier, CMOS, Transistor and Electrical engineering are his primary areas of study.
His Optoelectronics research is multidisciplinary, incorporating perspectives in Voltage-controlled oscillator, Voltage, Frequency divider and Balun.
His Amplifier study combines topics in areas such as Spectral density, Bandwidth and Pulse generator.
His CMOS research incorporates themes from Charge pump, Transimpedance amplifier and Soi cmos.
The various areas that Frank Ellinger examines in his Transistor study include Electronic circuit and Thin-film transistor.
His biological study spans a wide range of topics, including Electricity generation, Figure of merit and Wireless systems.
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.
