Jan M. Rabaey

36.5k total citations · 13 hit papers
438 papers, 24.8k citations indexed

About

Jan M. Rabaey is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Jan M. Rabaey has authored 438 papers receiving a total of 24.8k indexed citations (citations by other indexed papers that have themselves been cited), including 278 papers in Electrical and Electronic Engineering, 132 papers in Hardware and Architecture and 114 papers in Computer Networks and Communications. Recurrent topics in Jan M. Rabaey's work include Embedded Systems Design Techniques (117 papers), Parallel Computing and Optimization Techniques (85 papers) and Low-power high-performance VLSI design (70 papers). Jan M. Rabaey is often cited by papers focused on Embedded Systems Design Techniques (117 papers), Parallel Computing and Optimization Techniques (85 papers) and Low-power high-performance VLSI design (70 papers). Jan M. Rabaey collaborates with scholars based in United States, Belgium and Germany. Jan M. Rabaey's co-authors include Shad Roundy, Paul Wright, Rahul Shah, Anantha P. Chandrakasan, Massoud Pedram, Borivoje Nikolić, Miodrag Potkonjak, Brian Otis, Abbas Rahimi and Simone Gambini and has published in prestigious journals such as Neuron, Proceedings of the IEEE and Scientific Reports.

In The Last Decade

Jan M. Rabaey

415 papers receiving 22.9k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

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

2003 2.1k citations Jan M. Rabaey et al. profile →
Digital integrated circuits : a design perspective

1996 1.6k citations Jan M. Rabaey profile →
Digital Integrated Circuits

1995 1.1k citations Jan M. Rabaey et al. profile →
Energy aware routing for low energy ad hoc sensor networks

2003 984 citations Jan M. Rabaey et al. profile →
Improving Power Output for Vibration-Based Energy Scavengers

2005 807 citations Jan M. Rabaey et al. profile →
PicoRodio supports ad hoc ultra-low power wireless networking

2000 681 citations Jan M. Rabaey et al. profile →
Robust Positioning Algorithms for Distributed Ad-Hoc Wireless Sensor Networks

2002 610 citations Jan M. Rabaey et al. profile →
System-level design: orthogonalization of concerns and platform-based design

2000 607 citations Jan M. Rabaey et al. profile →
Low Power Design Methodologies

1996 582 citations Jan M. Rabaey et al. profile →
Energy Scavenging for Wireless Sensor Networks

2004 556 citations Jan M. Rabaey et al. profile →
A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition

2020 502 citations Ali Moin, Andy Zhou et al. profile →
Location in distributed ad-hoc wireless sensor networks

2002 489 citations Jan M. Rabaey et al. profile →
Wireless Recording in the Peripheral Nervous System with Ultrasonic Neural Dust

2016 397 citations Dongjin Seo, Jan M. Rabaey et al. profile →

Peers

Countries citing papers authored by Jan M. Rabaey

Since Specialization

Citations

This map shows the geographic impact of Jan M. Rabaey's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jan M. Rabaey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan M. Rabaey more than expected).

Fields of papers citing papers by Jan M. Rabaey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan M. Rabaey. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jan M. Rabaey. The network helps show where Jan M. Rabaey may publish in the future.

Co-authorship network of co-authors of Jan M. Rabaey

This figure shows the co-authorship network connecting the top 25 collaborators of Jan M. Rabaey. A scholar is included among the top collaborators of Jan M. Rabaey based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jan M. Rabaey. Jan M. Rabaey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	A Fully-Passive 4-Channel RF Beamformer with Ultra-Low Insertion Loss at 12GHz X/Ku-Band for Low-Power Applications in 28nm CMOS 2024 ·Matthew G. Anderson, (unknown), Ali M. Niknejad, Jan M. Rabaey	0
2	Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture 2024 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Zishen Wan, (unknown), (unknown), (unknown), Chaojian Li, Haoran You, Yonggan Fu, Cheng Wan, Sixu Li, (unknown), Ananda Samajdar, Yingyan Lin, Mohamed Ibrahim, Jan M. Rabaey, Tushar Krishna, Arijit Raychowdhury	7
3	A Sub-100-μW 0.1-to-27-Mb/s Pulse-Based Digital Transmitter for the Human Intranet in 28-nm FD-SOI CMOS 2022 ·IEEE Journal of Solid-State Circuits ·(unknown), (unknown), (unknown), Andreia Cathelin, Antoine Frappé, Andreas Kaiser, Jan M. Rabaey	9
4	Vector Symbolic Architectures as a Computing Framework for Emerging Hardware 2022 ·Proceedings of the IEEE ·Denis Kleyko, Mike Davies, (unknown), Pentti Kanerva, (unknown), Bruno A. Olshausen, Evgeny Osipov, Jan M. Rabaey, Dmitri A. Rachkovskij, Abbas Rahimi, Friedrich T. Sommer	47
5	Impact of Forward Body-Biasing on Ultra-Low Voltage Switched-Capacitor RF Power Amplifier in 28 nm FD-SOI 2021 ·IEEE Transactions on Circuits & Systems II Express Briefs ·(unknown), Andreia Cathelin, Antoine Frappé, Andreas Kaiser, Jan M. Rabaey	6
6	Energy Efficient Heartbeat-Based MAC Protocol for WBAN Employing Body Coupled Communication 2020 ·IEEE Access ·(unknown), (unknown), (unknown), (unknown), Antoine Frappé, Andreia Cathelin, Andreas Kaiser, Jan M. Rabaey	18
7	Analysis of Contraction Effort Level in EMG-Based Gesture Recognition Using Hyperdimensional Computing 2019 ·Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) ·Ali Moin, Andy Zhou, Simone Benatti, Abbas Rahimi, Luca Benini, Jan M. Rabaey	13
8	Adaptive EMG-based hand gesture recognition using hyperdimensional computing. 2019 ·arXiv (Cornell University) ·Ali Moin, Andy Zhou, Simone Benatti, Abbas Rahimi, George Alexandrov, Alisha Menon, Senam Tamakloe, Jonathan Ting, Natasha A. D. Yamamoto, Yasser Khan, Fred Burghardt, Ana Claudia Arias, Luca Benini, Jan M. Rabaey	3
9	An EMG Gesture Recognition System with Flexible High-Density Sensors and Brain-Inspired High-Dimensional Classifier 2018 ·IRIS UNIMORE (University of Modena and Reggio Emilia) ·Ali Moin, Andy Zhou, Abbas Rahimi, Simone Benatti, Alisha Menon, Senam Tamakloe, Jonathan Ting, Natasha A. D. Yamamoto, Yasser Khan, Fred Burghardt, Luca Benini, Ana Claudia Arias, Jan M. Rabaey	75
10	Brain-inspired computing exploiting carbon nanotube FETs and resistive RAM: Hyperdimensional computing case study 2018 ·Tony F. Wu, Haitong Li, Ping-Chen Huang, Abbas Rahimi, Jan M. Rabaey, H.‐S. Philip Wong, Max M. Shulaker, Subhasish Mitra	104
11	Classification and Recall With Binary Hyperdimensional Computing: Tradeoffs in Choice of Density and Mapping Characteristics 2018 ·IEEE Transactions on Neural Networks and Learning Systems ·Denis Kleyko, Abbas Rahimi, Dmitri A. Rachkovskij, Evgeny Osipov, Jan M. Rabaey	73
12	Hyperdimensional Computing Exploiting Carbon Nanotube FETs, Resistive RAM, and Their Monolithic 3D Integration 2018 ·IEEE Journal of Solid-State Circuits ·Tony F. Wu, Haitong Li, Ping-Chen Huang, Abbas Rahimi, Gage Hills, (unknown), (unknown), Jan M. Rabaey, H.‐S. Philip Wong, Max M. Shulaker, Subhasish Mitra	57
13	An implantable 700μW 64-channel neuromodulation IC for simultaneous recording and stimulation with rapid artifact recovery 2017 ·Benjamin C. Johnson, Simone Gambini, Igor Izyumin, Ali Moin, Andy Zhou, George Alexandrov, Samantha R. Santacruz, Jan M. Rabaey, Jose M. Carmena, Rikky Muller	80
14	Hyperdimensional computing with 3D VRRAM in-memory kernels: Device-architecture co-design for energy-efficient, error-resilient language recognition 2016 ·Haitong Li, Tony F. Wu, Abbas Rahimi, Kai‐Shin Li, (unknown), Chang-Hsien Lin, (unknown), Mohamed M. Sabry, Sukru Burc Eryilmaz, Joon Sohn, (unknown), Min‐Cheng Chen, Tsung‐Ta Wu, Jia‐Min Shieh, Wen‐Kuan Yeh, Jan M. Rabaey, Subhasish Mitra, H.‐S. Philip Wong	110
15	Physical principles for scalable neural recording 2013 ·Frontiers in Computational Neuroscience ·Adam Marblestone, (unknown), (unknown), Mikhail G. Shapiro, (unknown), Joshua I. Glaser, Dario Amodei, P. Benjamin Stranges, Reza Kalhor, (unknown), Dongjin Seo, (unknown), Michel M. Maharbiz, Jose M. Carmena, Jan M. Rabaey, Edward S. Boyden, George M. Church, Konrad P. Körding	18
16	Design Without Borders 2007 ·Jan M. Rabaey	1
17	Exploring the Architecture and Algorithmic Space for Signal Processing Applications 1993 ·Jan M. Rabaey, L.M. Guerra	7
18	An efficient microcode compiler for custom multiprocessor DSP-systems 1987 ·International Conference on Computer Aided Design ·Gert Goossens, Jan M. Rabaey, Joos Vandewalle, Hugo De Man	7
19	An overview of CAD techniques for switched capacitor networks 1981 ·Luc Claesen, Hugo De Man, Jan M. Rabaey, Joos Vandewalle	1
20	DIANA-SC : A Complete CAD system for switched capacitor filters 1981 ·European Solid-State Circuits Conference ·H. De Man, Jan M. Rabaey, Luc Claesen, Joos Vandewalle	6

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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