Marian Verhelst

Marian Verhelst publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Marian Verhelst sits on this spectrum.

Marian Verhelst D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Marian Verhelst sits on this spectrum.

Overview

Best Publications

• 14.5 Envision: A 0.26-to-10TOPS/W subword-parallel dynamic-voltage-accuracy-frequency-scalable Convolutional Neural Network processor in 28nm FDSOI

  Bert Moons;Roel Uytterhoeven;Wim Dehaene;Marian Verhelst

  487
  Citations

• An always-on 3.8μJ/86% CIFAR-10 mixed-signal binary CNN processor with all memory on chip in 28nm CMOS

  Daniel Bankman;Lita Yang;Bert Moons;Marian Verhelst

  241
  Citations

• A Review on Internet of Things Solutions for Intelligent Energy Control in Buildings for Smart City Applications

  Iman Khajenasiri;Abouzar Estebsari;Marian Verhelst;Georges Gielen

  238
  Citations

• Benchmarking TinyML Systems: Challenges and Direction

  Colby R. Banbury;Vijay Janapa Reddi;Max Lam;William Fu

  215
  Citations

• An Energy-Efficient Precision-Scalable ConvNet Processor in 40-nm CMOS

  Bert Moons;Marian Verhelst

  198
  Citations

• A 0.3–2.6 TOPS/W precision-scalable processor for real-time large-scale ConvNets

  Bert Moons;Marian Verhelst

  184
  Citations

• Embedded Deep Neural Network Processing: Algorithmic and Processor Techniques Bring Deep Learning to IoT and Edge Devices

  Marian Verhelst;Bert Moons

  174
  Citations

• Minimum energy quantized neural networks

  Bert Moons;Koen Goetschalckx;Nick Van Berckelaer;Marian Verhelst

  144
  Citations

• Energy-efficient ConvNets through approximate computing

  Bert Moons;Bert De Brabandere;Luc Van Gool;Marian Verhelst

  130
  Citations

• ZigZag: Enlarging Joint Architecture-Mapping Design Space Exploration for DNN Accelerators

  Linyan Mei;Pouya Houshmand;Vikram Jain;Sebastian Giraldo

  126
  Citations

• An Always-On 3.8 $\mu$ J/86% CIFAR-10 Mixed-Signal Binary CNN Processor With All Memory on Chip in 28-nm CMOS

  Daniel Bankman;Lita Yang;Bert Moons;Marian Verhelst

  124
  Citations

• A 90 nm CMOS, $6\ {\upmu { ext{W}}}$ Power-Proportional Acoustic Sensing Frontend for Voice Activity Detection

  Komail M. H. Badami;Steven Lauwereins;Wannes Meert;Marian Verhelst

  119
  Citations

• A 2.4-GHz 20–40-MHz Channel WLAN Digital Outphasing Transmitter Utilizing a Delay-Based Wideband Phase Modulator in 32-nm CMOS

  A. Ravi;P. Madoglio;Hongtao Xu;K. Chandrashekar

  110
  Citations

• Where Analog Meets Digital: Analog?to?Information Conversion and Beyond

  Marian Verhelst;Ahmad Bahai

  106
  Citations

• DIANA: An End-to-End Energy-Efficient Digital and ANAlog Hybrid Neural Network SoC

  Unknown

  105
  Citations

• The SINS database for detection of daily activities in a home environment using an Acoustic Sensor Network

  Gert Dekkers;Steven Lauwereins;Bart Thoen;Mulu Weldegebreal Adhana

  99
  Citations

• BinarEye: An always-on energy-accuracy-scalable binary CNN processor with all memory on chip in 28nm CMOS

  Bert Moons;Daniel Bankman;Lita Yang;Boris Murmann

  97
  Citations

• Review and Benchmarking of Precision-Scalable Multiply-Accumulate Unit Architectures for Embedded Neural-Network Processing

  Vincent Camus;Linyan Mei;Christian Enz;Marian Verhelst

  90
  Citations

• Vocell: A 65-nm Speech-Triggered Wake-Up SoC for 10- $\mu$ W Keyword Spotting and Speaker Verification

  Juan Sebastian P. Giraldo;Steven Lauwereins;Komail Badami;Marian Verhelst

  86
  Citations

• A CMOS Ultra-Wideband Receiver for Low Data-Rate Communication

  J. Ryckaert;M. Verhelst;M. Badaroglu;S. D'Amico

  85
  Citations

• Energy-Efficiency and Accuracy of Stochastic Computing Circuits in Emerging Technologies

  Bert Moons;Marian Verhelst

  84
  Citations

• A Reconfigurable, 130 nm CMOS 108 pJ/pulse, Fully Integrated IR-UWB Receiver for Communication and Precise Ranging

  N. Van Helleputte;M. Verhelst;W. Dehaene;G. Gielen

  78
  Citations

• A 5-GS/s 158.6-mW 9.4-ENOB Passive-Sampling Time-Interleaved Three-Stage Pipelined-SAR ADC With Analog–Digital Corrections in 28-nm CMOS

  Athanasios T. Ramkaj;Juan C. Pena Ramos;Marcel J. M. Pelgrom;Michiel S. J. Steyaert

  64
  Citations