Bart Vanrumste

6.4k total citations · 1 hit paper
191 papers, 4.4k citations indexed

About

Bart Vanrumste is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Bart Vanrumste has authored 191 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Cognitive Neuroscience, 50 papers in Computer Vision and Pattern Recognition and 44 papers in Signal Processing. Recurrent topics in Bart Vanrumste's work include EEG and Brain-Computer Interfaces (55 papers), Context-Aware Activity Recognition Systems (39 papers) and Blind Source Separation Techniques (32 papers). Bart Vanrumste is often cited by papers focused on EEG and Brain-Computer Interfaces (55 papers), Context-Aware Activity Recognition Systems (39 papers) and Blind Source Separation Techniques (32 papers). Bart Vanrumste collaborates with scholars based in Belgium, Netherlands and United States. Bart Vanrumste's co-authors include Sabine Van Huffel, Wim De Clercq, Anneleen Vergult, Joseph Muscat, Simon G. Fabri, Tracey Camilleri, Wim Van Paesschen, Ignace Lemahieu, Petros Xanthopoulos and Michalis Zervakis and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Scientific Reports.

In The Last Decade

Bart Vanrumste

184 papers receiving 4.3k citations

Hit Papers

Review on solving the inverse problem in EEG source analysis 2008 2026 2014 2020 2008 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bart Vanrumste Belgium 33 2.7k 1.0k 680 557 534 191 4.4k
Bart Jansen Belgium 38 2.5k 0.9× 404 0.4× 757 1.1× 570 1.0× 333 0.6× 206 5.9k
Maarten De Vos Belgium 47 5.6k 2.0× 1.6k 1.5× 959 1.4× 568 1.0× 404 0.8× 263 8.2k
Alexandros T. Tzallas Greece 31 1.9k 0.7× 973 0.9× 455 0.7× 344 0.6× 167 0.3× 173 3.8k
Alexandre Gramfort France 38 7.8k 2.8× 1.0k 1.0× 457 0.7× 595 1.1× 1.2k 2.2× 101 10.0k
Javier Escudero United Kingdom 36 2.7k 1.0× 512 0.5× 985 1.4× 370 0.7× 240 0.4× 165 4.8k
Saeid Sanei United Kingdom 32 2.0k 0.7× 1.7k 1.6× 548 0.8× 152 0.3× 253 0.5× 291 4.6k
Roberto Hornero Spain 50 4.7k 1.7× 650 0.6× 1.3k 1.9× 601 1.1× 1.2k 2.2× 352 8.7k
Tiago H. Falk Canada 36 2.2k 0.8× 1.9k 1.9× 770 1.1× 194 0.3× 270 0.5× 293 5.4k
Dimitrios Pantazis United States 27 5.7k 2.1× 406 0.4× 291 0.4× 515 0.9× 674 1.3× 111 7.1k
Geraldine B. Boylan Ireland 51 3.0k 1.1× 889 0.9× 808 1.2× 1.8k 3.3× 346 0.6× 292 9.5k

Countries citing papers authored by Bart Vanrumste

Since Specialization
Citations

This map shows the geographic impact of Bart Vanrumste'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 Bart Vanrumste with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bart Vanrumste more than expected).

Fields of papers citing papers by Bart Vanrumste

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bart Vanrumste. 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 Bart Vanrumste. The network helps show where Bart Vanrumste may publish in the future.

Co-authorship network of co-authors of Bart Vanrumste

This figure shows the co-authorship network connecting the top 25 collaborators of Bart Vanrumste. A scholar is included among the top collaborators of Bart Vanrumste 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 Bart Vanrumste. Bart Vanrumste 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.
Musaeus, Christian Sandøe, Pedro F. Viana, Mark Cook, et al.. (2025). Home-Based sensing of the nervous system with clinical neurophysiology technologies: IFCN handbook chapter. Clinical Neurophysiology Practice. 10. 453–463.
2.
Vanrenterghem, Jos, Roel De Ridder, Sabine Verschueren, et al.. (2025). A Seq-to-Seq Temporal Convolutional Network for Volleyball Jump Monitoring Using a Waist-Mounted IMU. IEEE Access. 13. 42986–42996. 1 indexed citations
3.
Ginis, Pieter, et al.. (2025). Multimodal Freezing of Gait Detection: Analyzing the Benefits and Limitations of Physiological Data. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33. 956–965. 3 indexed citations
4.
Kumar, T. Sunil, et al.. (2024). Evaluation Metrics for Food Intake Activity Recognition Using Segment-Wise IoU. Socio-Environmental Systems Modeling. 1–6. 1 indexed citations
5.
Wang, Xiangyu, et al.. (2022). Can Wearable Devices and Machine Learning Techniques Be Used for Recognizing and Segmenting Modified Physical Performance Test Items?. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30. 1776–1785. 4 indexed citations
6.
7.
Coelho, José, et al.. (2021). Recognition of Bathroom Activities in Older Adults Using Wearable Sensors: A Systematic Review and Recommendations. Sensors. 21(6). 2176–2176. 13 indexed citations
8.
Dreesen, Pauline, Dianne de Korte‐de Boer, Bas C. T. van Bussel, et al.. (2021). Vital Signs Prediction for COVID-19 Patients in ICU. Sensors. 21(23). 8131–8131. 10 indexed citations
9.
Wang, Xiangyu, et al.. (2021). Automatically Segmenting Physical Performance Test Items for Older Adults Using a Doppler Radar: A Proof of Concept Study. IEEE Access. 9. 152765–152779. 2 indexed citations
10.
Meng, Long, Chen Chen, Xinyu Jiang, et al.. (2021). Exploration of Human Activity Recognition Using a Single Sensor for Stroke Survivors and Able-Bodied People. Sensors. 21(3). 799–799. 28 indexed citations
11.
Vanrumste, Bart, et al.. (2021). Building blocks of a task-oriented dialogue system in the healthcare domain. Lirias (KU Leuven). 47–57. 3 indexed citations
12.
Luca, Stijn, et al.. (2021). Synthetic Data Generation and Multi-Task Learning for Extracting Temporal Information from Health-Related Narrative Text. Lirias (KU Leuven). 260–273. 3 indexed citations
13.
Mertens, Marc, Glen Debard, Jesse Davis, et al.. (2021). Motion Sensor-Based Detection of Outlier Days Supporting Continuous Health Assessment for Single Older Adults. Sensors. 21(18). 6080–6080. 3 indexed citations
14.
15.
Boer, Dianne de Korte‐de, et al.. (2020). Vital Signs Prediction and Early Warning Score Calculation Based on Continuous Monitoring of Hospitalised Patients Using Wearable Technology. Sensors. 20(22). 6593–6593. 18 indexed citations
16.
Ding, Li, et al.. (2019). Measuring and Localizing Individual Bites Using a Sensor Augmented Plate During Unrestricted Eating for the Aging Population. IEEE Journal of Biomedical and Health Informatics. 24(5). 1509–1518. 19 indexed citations
17.
Karsmakers, Peter, et al.. (2015). Monitoring activities of daily living using Wireless Acoustic Sensor Networks in clean and noisy conditions. PubMed. 2015. 4966–4969. 6 indexed citations
18.
Hese, Peter Van, Hans Hallez, Bart Vanrumste, et al.. (2005). Evaluation of spatial and temporal detection algorithms for interictal epileptiform EEG activity. Ghent University Academic Bibliography (Ghent University). 1 indexed citations
19.
Vanrumste, Bart, Gert Van Hoey, Paul Boon, M. D’Havé, & Ignace Lemahieu. (1998). The need for realistically shaped head models in EEG source analysis. Ghent University Academic Bibliography (Ghent University). 1 indexed citations
20.
Hoey, Gert Van, Bart Vanrumste, Rik Van de Walle, Paul Boon, & Ignace Lemahieu. (1997). Automatic marker recognition on MR images for EEG electrode localization. Ghent University Academic Bibliography (Ghent University). 3 indexed citations

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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