D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 32 Citations 4,537 125 World Ranking 6851 National Ranking 2104

Overview

What is he best known for?

The fields of study he is best known for:

  • Electrical engineering
  • Amplifier
  • Optics

His primary areas of investigation include Electronic engineering, Electrical engineering, Baseband, Transceiver and Frequency mixer. His research integrates issues of Electronic circuit, Neuromorphic engineering, Radio frequency, Noise figure and Impedance matching in his study of Electronic engineering. Electrical engineering and GSM are frequently intertwined in his study.

His Baseband research includes elements of Phase noise, Voltage-controlled oscillator, BiCMOS, Direct-conversion receiver and Phase-locked loop. His Transceiver study integrates concerns from other disciplines, such as Amplifier and Low-power electronics. Within one scientific family, Alyosha Molnar focuses on topics pertaining to Harmonic mixer under Frequency mixer, and may sometimes address concerns connected to Intermediate frequency and Harmonic.

His most cited work include:

  • A Passive Mixer-First Receiver With Digitally Controlled and Widely Tunable RF Interface (288 citations)
  • Low-Power 2.4-GHz Transceiver With Passive RX Front-End and 400-mV Supply (248 citations)
  • Implications of Passive Mixer Transparency for Impedance Matching and Noise Figure in Passive Mixer-First Receivers (184 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Electronic engineering, Electrical engineering, CMOS, Pixel and Optoelectronics. His Electronic engineering research integrates issues from Electronic circuit, Baseband, Transceiver, Harmonic mixer and Amplifier. His Baseband research incorporates elements of Radio receiver design, Direct-conversion receiver, Radio frequency, Electrical impedance and Noise figure.

His research brings together the fields of Wireless and Electrical engineering. In Pixel, Alyosha Molnar works on issues like Image sensor, which are connected to Chip. His work deals with themes such as Single-photon avalanche diode and Electronics, which intersect with Optoelectronics.

He most often published in these fields:

  • Electronic engineering (36.03%)
  • Electrical engineering (32.35%)
  • CMOS (21.32%)

What were the highlights of his more recent work (between 2015-2021)?

  • Electronic engineering (36.03%)
  • Electrical engineering (32.35%)
  • Optoelectronics (16.91%)

In recent papers he was focusing on the following fields of study:

Alyosha Molnar focuses on Electronic engineering, Electrical engineering, Optoelectronics, Radio frequency and CMOS. His Electronic engineering research includes elements of Transmitter, Duplex and Transceiver. The Signal research he does as part of his general Electrical engineering study is frequently linked to other disciplines of science, such as Calibration, therefore creating a link between diverse domains of science.

His Optoelectronics research incorporates themes from Optics and Electronics. In his work, Electrical impedance, Bandwidth, Chip, Noise figure and Local oscillator is strongly intertwined with Baseband, which is a subfield of Radio frequency. His CMOS research is multidisciplinary, incorporating elements of Electronic circuit and Logic gate.

Between 2015 and 2021, his most popular works were:

  • ASP Vision: Optically Computing the First Layer of Convolutional Neural Networks Using Angle Sensitive Pixels (37 citations)
  • Compressive Light Field Reconstructions Using Deep Learning (23 citations)
  • A 250 μ m × 57 μ m Microscale Opto-electronically Transduced Electrodes (MOTEs) for Neural Recording (21 citations)

In his most recent research, the most cited papers focused on:

  • Electrical engineering
  • Amplifier
  • Optics

Alyosha Molnar spends much of his time researching Optoelectronics, CMOS, Diode, Electrical engineering and Electronics. His Optoelectronics study combines topics in areas such as Bandwidth and Optics. His study in CMOS is interdisciplinary in nature, drawing from both Electronic circuit, Wideband, Baseband, Radio frequency and Electrical impedance.

His Electronic circuit study incorporates themes from Inductor, Duplex, Transceiver and Electronic engineering, Circulator. The concepts of his Diode study are interwoven with issues in Phase, Light field and Light-emitting diode. In his papers, he integrates diverse fields, such as Electrical engineering and Heterojunction bipolar transistor.

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.

Best Publications

A Passive Mixer-First Receiver With Digitally Controlled and Widely Tunable RF Interface

Caroline Andrews;Alyosha C Molnar.
international solid state circuits conference (2010)

418 Citations

Low-power 2.4-GHz transceiver with passive RX front-end and 400-mV supply

Ben W. Cook;Axel Berny;Alyosha Molnar;Steven Lanzisera.
international solid-state circuits conference (2006)

332 Citations

Implications of Passive Mixer Transparency for Impedance Matching and Noise Figure in Passive Mixer-First Receivers

Caroline Andrews;Alyosha C Molnar.
system on chip conference (2010)

278 Citations

A single-chip quad-band (850/900/1800/1900 MHz) direct conversion GSM/GPRS RF transceiver with integrated VCOs and fractional-n synthesizer

A. Molnar;R. Magoon;G. Hatcher;J. Zachan.
international solid-state circuits conference (2002)

264 Citations

Monolithic Schottky-collector resonant tunnel diode oscillator arrays to 650 GHz

M. Reddy;S.C. Martin;A.C. Molnar;R.E. Muller.
IEEE Electron Device Letters (1997)

219 Citations

The In-Crowd Algorithm for Fast Basis Pursuit Denoising

P. R. Gill;Albert Wang;Alyosha Molnar.
IEEE Transactions on Signal Processing (2011)

167 Citations

Parallel processing in retinal ganglion cells: how integration of space-time patterns of excitation and inhibition form the spiking output.

Botond Roska;Alyosha Molnar;Frank S. Werblin.
Journal of Neurophysiology (2006)

164 Citations

An ultra-low power 900 MHz RF transceiver for wireless sensor networks

A. Molnar;B. Lu;S. Lanzisera;B.W. Cook.
custom integrated circuits conference (2004)

157 Citations

An Ultra-Low Power 2.4GHz RF Transceiver for Wireless Sensor Networks in 0.13/spl mu/m CMOS with 400mV Supply and an Integrated Passive RX Front-End

B.W. Cook;A.D. Berny;A. Molnar;S. Lanzisera.
international solid-state circuits conference (2006)

124 Citations

Neuromorphic event-driven neural computing architecture in a scalable neural network

Filipp Akopyan;John V. Arthur;Rajit Manohar;Paul A. Merolla.
(2012)

124 Citations

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