Marian Verhelst
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques 28
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- Advanced Memory and Neural Computing 38
- Radio Frequency Integrated Circuit Design 36
- CCD and CMOS Imaging Sensors 31
- Energy Harvesting in Wireless Networks 18
- Low-power high-performance VLSI design 15
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- Advanced Neural Network Applications 28
- Signal Processing top 2%
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- Analog and Mixed-Signal Circuit Design 23
- Co-authors
- Bert MoonsWim DehaeneRoel UytterhoevenJuan Sebastian Piedrahita GiraldoSteven LauwereinsDaniel BankmanGeorges GielenLinyan Mei
- Cited by
- Hardware and ArchitectureElectrical and Electronic EngineeringComputer Vision and Pattern Recognition
- Journals
- Nature Communications (1 paper)Communications of the ACM (1 paper)IEEE Transactions on Signal Processing (1 paper)
- Partner nations
- BelgiumUnited StatesNetherlands
In The Last Decade
Marian Verhelst
209 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 112
- Hardware and Architecture 421
- Electrical and Electronic Engineering 2.4k
- Computer Vision and Pattern Recognition 775
- Signal Processing 327
- Computer Networks and Communications 492
Countries citing papers authored by Marian Verhelst
This map shows the geographic impact of Marian Verhelst'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 Marian Verhelst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marian Verhelst more than expected).
Fields of papers citing papers by Marian Verhelst
This network shows the impact of papers produced by Marian Verhelst. 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 Marian Verhelst. The network helps show where Marian Verhelst may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marian Verhelst, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 20 | |
| 9 | 2023 | 26 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 49 | |
| 12 | 2020 | 0 | |
| 13 | 2020 | 19 | |
| 14 | 2019 | 3 | |
| 15 | 2018 | 25 | |
| 16 | 2018 | 3 | |
| 17 | 2017 | 334 | |
| 18 | 2017 | 10 | |
| 19 | Complex analog correlating pulsed UWB-receiver in realistic 0-1GHz channels | 2007 | 2 |
| 20 | Architectures for Low Power Ultra-Wideband Radio Receivers in the 3.1-5GHz Band for Data Rates < 10Mbps | 2004 | 4 |
About Marian Verhelst
Marian Verhelst is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 225 papers that have together received 3.6k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (38 papers), Radio Frequency Integrated Circuit Design (36 papers), CCD and CMOS Imaging Sensors (31 papers), Advanced Neural Network Applications (28 papers), Parallel Computing and Optimization Techniques (28 papers), Analog and Mixed-Signal Circuit Design (23 papers), Energy Harvesting in Wireless Networks (18 papers) and Low-power high-performance VLSI design (15 papers). The work is most often cited by research in Hardware and Architecture (421 citations), Electrical and Electronic Engineering (2.4k citations) and Computer Vision and Pattern Recognition (775 citations). Marian Verhelst has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Bert Moons, Wim Dehaene, Roel Uytterhoeven, Juan Sebastian Piedrahita Giraldo, Steven Lauwereins, Daniel Bankman, Georges Gielen, Linyan Mei, Boris Murmann and Lita Yang. Their work appears in journals such as Nature Communications, Communications of the ACM and IEEE Transactions on Signal Processing.
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.