Bert Moons
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
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- Advanced Neural Network Applications
Papers in
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- Advanced Memory and Neural Computing 8
- CCD and CMOS Imaging Sensors 4
- Ferroelectric and Negative Capacitance Devices 4
- Low-power high-performance VLSI design 3
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- Advanced Neural Network Applications 9
- Co-authors
- Marian Verhelst (16 shared papers)Wim Dehaene (2 shared papers)Roel Uytterhoeven (2 shared papers)Daniel Bankman (7 shared papers)Boris Murmann (5 shared papers)Lita Yang (5 shared papers)Martin Andraud (1 shared paper)Steven Lauwereins (1 shared paper)
- Journals
- IEEE Journal on Emerging and Selected Topics in Circuits and Systems (2 papers)IEEE Journal of Solid-State Circuits (2 papers)IEEE Solid-State Circuits Magazine (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)
- Partner nations
- BelgiumUnited StatesNetherlands
In The Last Decade
Bert Moons
18 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 77
- Hardware and Architecture 152
- Computer Vision and Pattern Recognition 438
- Electrical and Electronic Engineering 780
- Artificial Intelligence 296
- Computational Mathematics 5
Countries citing papers authored by Bert Moons
This map shows the geographic impact of Bert Moons'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 Bert Moons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bert Moons more than expected).
Fields of papers citing papers by Bert Moons
This network shows the impact of papers produced by Bert Moons. 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 Bert Moons. The network helps show where Bert Moons may publish in the future.
Co-authors
The 22 scholars most cited alongside Bert Moons, 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 | 2017 | 334 | |
| 2 | 2016 | 135 | |
| 3 | 2018 | 131 | |
| 4 | 2018 | 116 | |
| 5 | 2017 | 99 | |
| 6 | 2015 | 48 | |
| 7 | 2014 | 42 | |
| 8 | 2017 | 37 | |
| 9 | 2018 | 33 | |
| 10 | 2018 | 23 | |
| 11 | 2021 | 20 | |
| 12 | 2018 | 15 | |
| 13 | 2018 | 11 | |
| 14 | 2018 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 2014 | 4 | |
| 17 | 2018 | 4 | |
| 18 | 2018 | 4 |
About Bert Moons
Bert Moons is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications and Cognitive Neuroscience, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (9 papers), Advanced Memory and Neural Computing (8 papers), CCD and CMOS Imaging Sensors (4 papers), Ferroelectric and Negative Capacitance Devices (4 papers), Low-power high-performance VLSI design (3 papers), Error Correcting Code Techniques (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Hardware and Architecture (152 citations), Computer Vision and Pattern Recognition (438 citations), Electrical and Electronic Engineering (780 citations), Artificial Intelligence (296 citations) and Computational Mathematics (5 citations). Bert Moons has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Marian Verhelst, Wim Dehaene, Roel Uytterhoeven, Daniel Bankman, Boris Murmann, Lita Yang, Martin Andraud, Steven Lauwereins, Giovanni Mariani and Patrick Wambacq. Their work appears in journals such as IEEE Journal on Emerging and Selected Topics in Circuits and Systems, IEEE Journal of Solid-State Circuits, IEEE Solid-State Circuits Magazine, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and CERN Document Server (European Organization for Nuclear Research).
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.