Thijs Becker
Impact in
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- Multiple Sclerosis Research Studies
Papers in
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- Energy Load and Power Forecasting 7
- Smart Grid Energy Management 3
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- EEG and Brain-Computer Interfaces 3
- Co-authors
- Dirk Valkenborg (5 shared papers)Veronica Popescu (3 shared papers)Bart Van Wijmeersch (3 shared papers)J. Yperman (3 shared papers)Liesbet M. Peeters (3 shared papers)Niels Hellings (2 shared papers)K. Nelissen (3 shared papers)Bart Cleuren (4 shared papers)
- Journals
- Sustainable Energy Grids and Networks (3 papers)Frontiers in Neuroinformatics (1 paper)Applied Energy (1 paper)Sensors (1 paper)Machine Learning (1 paper)
- Partner nations
- BelgiumUnited StatesUnited Kingdom
In The Last Decade
Thijs Becker
16 papers receiving 133 citations
Peers
Comparison fields: 5 of 61
- Health Informatics 3
- Pathology and Forensic Medicine 25
- Neurology 12
- Condensed Matter Physics 18
- Mathematical Physics 9
Countries citing papers authored by Thijs Becker
This map shows the geographic impact of Thijs Becker'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 Thijs Becker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thijs Becker more than expected).
Fields of papers citing papers by Thijs Becker
This network shows the impact of papers produced by Thijs Becker. 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 Thijs Becker. The network helps show where Thijs Becker may publish in the future.
Co-authors
The 25 scholars most cited alongside Thijs Becker, 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 | 2020 | 49 | |
| 2 | 2013 | 19 | |
| 3 | 2021 | 12 | |
| 4 | 2023 | 9 | |
| 5 | 2014 | 7 | |
| 6 | 2022 | 7 | |
| 7 | 2024 | 5 | |
| 8 | 2025 | 4 | |
| 9 | 2020 | 4 | |
| 10 | 2025 | 4 | |
| 11 | 2025 | 3 | |
| 12 | 2015 | 3 | |
| 13 | 2014 | 2 | |
| 14 | 2025 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2024 | 0 | |
| 18 | 2023 | 0 |
About Thijs Becker
Thijs Becker is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience, Pathology and Forensic Medicine, Signal Processing and Artificial Intelligence, having authored 18 papers that have together received 133 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (7 papers), EEG and Brain-Computer Interfaces (3 papers), Multiple Sclerosis Research Studies (3 papers), Smart Grid Energy Management (3 papers), Advanced Thermodynamics and Statistical Mechanics (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Theoretical and Computational Physics (2 papers) and Building Energy and Comfort Optimization (2 papers). The work is most often cited by research in Health Informatics (3 citations), Pathology and Forensic Medicine (25 citations), Neurology (12 citations), Condensed Matter Physics (18 citations) and Mathematical Physics (9 citations). Thijs Becker has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Dirk Valkenborg, Veronica Popescu, Bart Van Wijmeersch, J. Yperman, Liesbet M. Peeters, Niels Hellings, K. Nelissen, Bart Cleuren, B. Partoens and Koen Vanthournout. Their work appears in journals such as Sustainable Energy Grids and Networks, Frontiers in Neuroinformatics, Applied Energy, Sensors and Machine Learning.
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.