Marian Verhelst
- Electrical and Electronic Engineering top 2%
- Computer Vision and Pattern Recognition top 1%
- Biomedical Engineering top 5%
- Artificial Intelligence top 2%
- Computer Networks and Communications top 2%
- Co-authors
- Bert MoonsWim DehaeneRoel UytterhoevenJuan Sebastian Piedrahita GiraldoSteven LauwereinsDaniel BankmanGeorges GielenLinyan Mei
- Topics
- Advanced Memory and Neural Computing (38 papers)Radio Frequency Integrated Circuit Design (36 papers)CCD and CMOS Imaging Sensors (31 papers)
- Cited by
- Hardware and ArchitectureElectrical and Electronic EngineeringComputer Vision and Pattern Recognition
- Partner nations
- BelgiumUnited StatesNetherlands
In The Last Decade
Marian Verhelst
209 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 112
- Electrical and Electronic Engineering 2.4k
- Computer Vision and Pattern Recognition 775
- Biomedical Engineering 741
- Artificial Intelligence 643
- 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 of co-authors of Marian Verhelst
This figure shows the co-authorship network connecting the top 25 collaborators of Marian Verhelst. A scholar is included among the top collaborators of Marian Verhelst 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 Marian Verhelst. Marian Verhelst is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 20 | |
| 9 | 26 | |
| 10 | 1 | |
| 11 | 49 | |
| 12 | 0 | |
| 13 | 19 | |
| 14 | 3 | |
| 15 | 25 | |
| 16 | 3 | |
| 17 | 334 | |
| 18 | 10 | |
| 19 | Complex analog correlating pulsed UWB-receiver in realistic 0-1GHz channels | 2 |
| 20 | Architectures for Low Power Ultra-Wideband Radio Receivers in the 3.1-5GHz Band for Data Rates < 10Mbps | 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) and CCD and CMOS Imaging Sensors (31 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.