H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering H-index 87 Citations 48,249 384 World Ranking 100 National Ranking 57

Research.com Recognitions

Awards & Achievements

2010 - Semiconductor Industry Association University Researcher Award

1995 - IEEE Fellow For contributions in design synthesis and concurrent architectures for signal processing applications.

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Electrical engineering
  • Computer network

Jan M. Rabaey focuses on Electronic engineering, Electrical engineering, Wireless sensor network, CMOS and Wireless. His work deals with themes such as Systems design, Electronic circuit and Low-power electronics, which intersect with Electronic engineering. His Electrical engineering research is multidisciplinary, incorporating perspectives in Energy harvesting and Architecture.

Wireless sensor network is a subfield of Computer network that he studies. The various areas that Jan M. Rabaey examines in his CMOS study include Radio receiver design, Transfer function, Baseband, Integrated circuit and Circuit design. His biological study spans a wide range of topics, including Digital signal processing, Embedded system and Electronics.

His most cited work include:

  • A study of low level vibrations as a power source for wireless sensor nodes (2202 citations)
  • Digital integrated circuits : a design perspective (1710 citations)
  • Digital integrated circuits: a design perspective (1556 citations)

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

His primary scientific interests are in Electronic engineering, Electrical engineering, Wireless, Wireless sensor network and CMOS. Jan M. Rabaey interconnects Baseband, Efficient energy use, Low-power electronics and Voltage in the investigation of issues within Electronic engineering. Jan M. Rabaey usually deals with Wireless and limits it to topics linked to Embedded system and Digital signal processing.

Jan M. Rabaey has researched Wireless sensor network in several fields, including Sensor node, Key distribution in wireless sensor networks and Energy harvesting. Jan M. Rabaey regularly ties together related areas like Electronic circuit in his CMOS studies. His work carried out in the field of Computer network brings together such families of science as Wireless network and Distributed computing.

He most often published in these fields:

  • Electronic engineering (25.91%)
  • Electrical engineering (19.96%)
  • Wireless (19.19%)

What were the highlights of his more recent work (between 2014-2021)?

  • CMOS (15.36%)
  • Electrical engineering (19.96%)
  • Wireless (19.19%)

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

CMOS, Electrical engineering, Wireless, Artificial intelligence and Electronic engineering are his primary areas of study. His CMOS study integrates concerns from other disciplines, such as Dynamic range, Electronic circuit, Resistive random-access memory, Cognitive radio and Data compression. His Electrical engineering research is multidisciplinary, incorporating elements of Beamforming and Bit error rate.

His Wireless research incorporates themes from Wireless sensor network, Brain–computer interface, Wearable computer and Communication channel. His studies deal with areas such as Efficient energy use and Pattern recognition as well as Artificial intelligence. His biological study focuses on Phase noise.

Between 2014 and 2021, his most popular works were:

  • Wireless Recording in the Peripheral Nervous System with Ultrasonic Neural Dust (220 citations)
  • A Minimally Invasive 64-Channel Wireless μECoG Implant (169 citations)
  • Energy-Efficient Abundant-Data Computing: The N3XT 1,000x (122 citations)

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

  • Operating system
  • Electrical engineering
  • Computer network

His scientific interests lie mostly in CMOS, Electrical engineering, Efficient energy use, Brain–computer interface and Electronic engineering. His CMOS study combines topics from a wide range of disciplines, such as Resistive random-access memory, Neuromodulation, Data compression, Noise and System on a chip. Jan M. Rabaey studies Electrical engineering, namely Pulse-width modulation.

His Efficient energy use research integrates issues from Scalability, Theoretical computer science, Robustness and High-definition video. His Brain–computer interface research incorporates elements of Wireless, Ultrasonic sensor, Bandwidth and Electronics. His Electronic engineering research includes themes of Radio receiver design, Offset, Communication channel, Local oscillator and Radio frequency.

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.

Top Publications

Digital Integrated Circuits: A Design Perspective

Jan M. Rabaey.
(1995)

8450 Citations

Digital Integrated Circuits

Jan M. Rabaey;Anantha Chandrakasan;Borivoje Nikolic.
(2003)

7550 Citations

A study of low level vibrations as a power source for wireless sensor nodes

Shad Roundy;Paul K. Wright;Jan Rabaey.
Computer Communications (2003)

3165 Citations

Energy aware routing for low energy ad hoc sensor networks

R.C. Shah;J.M. Rabaey.
wireless communications and networking conference (2002)

2264 Citations

PicoRadio supports ad hoc ultra-low power wireless networking

J.M. Rabaey;M.J. Ammer;J.L. da Silva;D. Patel.
IEEE Computer (2000)

1619 Citations

Energy scavenging for wireless sensor networks

Shad Roundy;Paul Kenneth Wright;Jan M. Rabaey.
(2003)

1441 Citations

Robust Positioning Algorithms for Distributed Ad-Hoc Wireless Sensor Networks

Chris Savarese;Jan M. Rabaey;Koen Langendoen.
usenix annual technical conference (2002)

1353 Citations

System-level design: orthogonalization of concerns and platform-based design

K. Keutzer;A.R. Newton;J.M. Rabaey;A. Sangiovanni-Vincentelli.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2000)

1259 Citations

Improving power output for vibration-based energy scavengers

S. Roundy;E.S. Leland;J. Baker;E. Carleton.
IEEE Pervasive Computing (2005)

1218 Citations

Low power design methodologies

Jan M. Rabaey;Massoud Pedram.
(1996)

1184 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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