Maarten De Vos
- Cognitive Neuroscience top 0.2%
- Signal Processing top 0.2%
- Experimental and Cognitive Psychology top 1%
- Biomedical Engineering top 5%
- Pediatrics, Perinatology and Child Health top 1%
- Co-authors
- Stefan DebenerSabine Van HuffelHuy PhanOliver Y. ChénFernando AndreottiNavin CoorayReiner EmkesMartin G. Bleichner
- Topics
- EEG and Brain-Computer Interfaces (127 papers)Blind Source Separation Techniques (47 papers)Neonatal and fetal brain pathology (45 papers)
- Journals
- Journal of Clinical OncologyJournal of NeuroscienceSHILAP Revista de lepidopterología
- Partner nations
- BelgiumUnited KingdomGermany
In The Last Decade
Maarten De Vos
240 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 186
- Cognitive Neuroscience 5.6k
- Signal Processing 1.6k
- Experimental and Cognitive Psychology 1.2k
- Biomedical Engineering 959
- Pediatrics, Perinatology and Child Health 803
Countries citing papers authored by Maarten De Vos
This map shows the geographic impact of Maarten De Vos'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 Maarten De Vos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maarten De Vos more than expected).
Fields of papers citing papers by Maarten De Vos
This network shows the impact of papers produced by Maarten De Vos. 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 Maarten De Vos. The network helps show where Maarten De Vos may publish in the future.
Co-authorship network of co-authors of Maarten De Vos
This figure shows the co-authorship network connecting the top 25 collaborators of Maarten De Vos. A scholar is included among the top collaborators of Maarten De Vos 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 Maarten De Vos. Maarten De Vos 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 | 0 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 11 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | 12 | |
| 11 | 11 | |
| 12 | 12 | |
| 13 | 43 | |
| 14 | 25 | |
| 15 | 56 | |
| 16 | 39 | |
| 17 | Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classificationbreakdown → | 329 |
| 18 | 62 | |
| 19 | Comparison of BEM and FDM head modeling in SPM for EEG source reconstruction based on free energy | 0 |
| 20 | 16 |
About Maarten De Vos
Maarten De Vos is a scholar working on Computational Mathematics, Cognitive Neuroscience and Signal Processing, having authored 263 papers that have together received 8.2k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (127 papers), Blind Source Separation Techniques (47 papers) and Neonatal and fetal brain pathology (45 papers). The work is most often cited by research in Computational Mathematics (215 citations), Cognitive Neuroscience (5.6k citations) and Signal Processing (1.6k citations). Maarten De Vos has collaborated with scholars based in Belgium, United Kingdom and Germany. Frequent co-authors include Stefan Debener, Sabine Van Huffel, Huy Phan, Oliver Y. Chén, Fernando Andreotti, Navin Cooray, Reiner Emkes, Martin G. Bleichner, Gunnar Naulaers and Falk Minow. Their work appears in journals such as Journal of Clinical Oncology, Journal of Neuroscience and SHILAP Revista de lepidopterología.
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.