Maarten De Vos

15.5k total citations · 5 hit papers
263 papers, 8.2k citations indexed

About

Maarten De Vos is a scholar working on Cognitive Neuroscience, Signal Processing and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Maarten De Vos has authored 263 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 158 papers in Cognitive Neuroscience, 59 papers in Signal Processing and 48 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Maarten De Vos's work include EEG and Brain-Computer Interfaces (127 papers), Blind Source Separation Techniques (47 papers) and Neonatal and fetal brain pathology (45 papers). Maarten De Vos is often cited by papers focused on EEG and Brain-Computer Interfaces (127 papers), Blind Source Separation Techniques (47 papers) and Neonatal and fetal brain pathology (45 papers). Maarten De Vos collaborates with scholars based in Belgium, United Kingdom and Germany. Maarten De Vos's 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 and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Maarten De Vos

240 papers receiving 8.1k citations

Hit Papers

How about taking a low‐cost, small, and wireless EEG for ... 2012 2026 2016 2021 2012 2019 2018 2022 2021 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. How about taking a low‐cost, small, and wireless EEG for a walk?
    2012 425 citations Stefan Debener, Maarten De Vos et al. profile →
  2. SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging
    2019 375 citations Huy Phan, Fernando Andreotti et al. profile →
  3. Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification
    2018 329 citations Huy Phan, Fernando Andreotti et al. IEEE Transactions on Biomedical Engineering profile →
  4. SleepTransformer: Automatic Sleep Staging With Interpretability and Uncertainty Quantification
    2022 170 citations Huy Phan, Kaare B. Mikkelsen et al. IEEE Transactions on Biomedical Engineering profile →
  5. XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging
    2021 170 citations Huy Phan, Oliver Y. Chén et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maarten De Vos Belgium 47 5.6k 1.6k 1.2k 959 803 263 8.2k
M. Brandon Westover United States 50 3.5k 0.6× 523 0.3× 601 0.5× 512 0.5× 940 1.2× 347 8.0k
Alexandre Gramfort France 38 7.8k 1.4× 1.0k 0.6× 1.1k 0.9× 457 0.5× 173 0.2× 101 10.0k
Pedro A. Valdés‐Sosa Cuba 50 6.3k 1.1× 915 0.6× 566 0.5× 300 0.3× 279 0.3× 228 8.3k
Martin J. McKeown Canada 45 8.4k 1.5× 3.0k 1.9× 886 0.7× 695 0.7× 91 0.1× 257 11.7k
Claudio Babiloni Italy 69 11.4k 2.1× 327 0.2× 904 0.8× 742 0.8× 191 0.2× 312 14.2k
Alan Gevins United States 48 6.0k 1.1× 363 0.2× 1.1k 0.9× 342 0.4× 213 0.3× 89 7.9k
Roberto Hornero Spain 50 4.7k 0.9× 650 0.4× 572 0.5× 1.3k 1.4× 73 0.1× 352 8.7k
Olivier Bertrand France 59 13.4k 2.4× 738 0.5× 2.2k 1.8× 549 0.6× 152 0.2× 173 15.5k
Wei Chen China 38 1.9k 0.3× 468 0.3× 292 0.2× 1.8k 1.9× 199 0.2× 347 6.1k
Habib Benali France 61 7.1k 1.3× 344 0.2× 1.1k 0.9× 877 0.9× 241 0.3× 237 12.5k

Countries citing papers authored by Maarten De Vos

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Liu, Zhen, et al.. (2025). Multimodal sensing and machine learning for continuous monitoring of agitation in dementia. Alzheimer s & Dementia. 21(S3). e101188–e101188.
2.
Vos, Maarten De, et al.. (2025). Automated Sleep Staging in Epilepsy Using Deep Learning on Standard Electroencephalogram and Wearable Data. Journal of Sleep Research. 34(5). e70061–e70061.
3.
Vos, Maarten De, Christos Chatzichristos, Zhongyu Wang, et al.. (2025). Noncontact capacitive coupling ECG-Derived respiratory signals using the conformer based time–frequency domain generative adversarial network. Expert Systems with Applications. 289. 128360–128360.
4.
Chatzichristos, Christos, et al.. (2025). Tailoring antiseizure treatment with a wearable device: A proof‐of‐concept study in absence epilepsy. Epilepsia. 66(7). 2295–2306.
5.
Heremans, Elke, et al.. (2024). Automatic sleep staging and detection of sleep disorders through wearable EEG monitoring devices. Sleep Medicine. 115. S231–S232. 2 indexed citations
6.
Suykens, Johan A. K., et al.. (2024). Explaining the model and feature dependencies by decomposition of the Shapley value. Decision Support Systems. 182. 114234–114234. 4 indexed citations
7.
Autthasan, Phairot, Rattanaphon Chaisaen, Huy Phan, Maarten De Vos, & Theerawit Wilaiprasitporn. (2024). MixNet: Joining Force of Classical and Modern Approaches Toward the Comprehensive Pipeline in Motor Imagery EEG Classification. IEEE Internet of Things Journal. 11(17). 28539–28554. 11 indexed citations
8.
Helleputte, Nick Van, et al.. (2023). Unraveling the relationship between heart rate and agitation in people with dementia. Alzheimer s & Dementia. 19(S18). 1 indexed citations
9.
Vandecasteele, Kaat, et al.. (2023). The Power of ECG in Semi-Automated Seizure Detection in Addition to Two-Channel behind-the-Ear EEG. Bioengineering. 10(4). 491–491. 12 indexed citations
10.
Gyselinck, Iwein, et al.. (2023). Estimating individual treatment effects on COPD exacerbations by causal machine learning on randomised controlled trials. Thorax. 78(10). 983–989. 12 indexed citations
11.
Creagh, Andrew P., Frank Dondelinger, Florian Lipsmeier, Michael Lindemann, & Maarten De Vos. (2022). Longitudinal Trend Monitoring of Multiple Sclerosis Ambulation Using Smartphones. IEEE Open Journal of Engineering in Medicine and Biology. 3. 202–210. 11 indexed citations
12.
Vandecasteele, Kaat, Christos Chatzichristos, Wim Van Paesschen, et al.. (2021). Classification with a Deferral Option and Low-Trust Filtering for Automated Seizure Detection. Sensors. 21(4). 1046–1046. 12 indexed citations
13.
Vandecasteele, Kaat, Thomas De Cooman, Christos Chatzichristos, et al.. (2021). The power of ECG in multimodal patient‐specific seizure monitoring: Added value to an EEG‐based detector using limited channels. Epilepsia. 62(10). 2333–2343. 43 indexed citations
14.
Mikkelsen, Kaare B., Huy Phan, Mike Lind Rank, et al.. (2021). Sleep Monitoring Using Ear-Centered Setups: Investigating the Influence From Electrode Configurations. IEEE Transactions on Biomedical Engineering. 69(5). 1564–1572. 25 indexed citations
15.
Chatzichristos, Christos, Katrien Jansen, Lieven Lagae, et al.. (2021). Accurate detection of typical absence seizures in adults and children using a two‐channel electroencephalographic wearable behind the ears. Epilepsia. 62(11). 2741–2752. 56 indexed citations
16.
Chén, Oliver Y., Florian Lipsmeier, Huy Phan, et al.. (2020). Building a Machine-Learning Framework to Remotely Assess Parkinson's Disease Using Smartphones. IEEE Transactions on Biomedical Engineering. 67(12). 3491–3500. 39 indexed citations
17.
Phan, Huy, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, & Maarten De Vos. (2018). Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification. IEEE Transactions on Biomedical Engineering. 66(5). 1285–1296. 329 indexed citations breakdown →
18.
Sandmann, Pascale, et al.. (2014). Rapid bilateral improvement in auditory cortex activity in postlingually deafened adults following cochlear implantation. Clinical Neurophysiology. 126(3). 594–607. 62 indexed citations
19.
Strobbe, Gregor, José David López, Pieter van Mierlo, et al.. (2012). Comparison of BEM and FDM head modeling in SPM for EEG source reconstruction based on free energy. Ghent University Academic Bibliography (Ghent University).
20.

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.

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