Ronald M. Aarts

5.3k total citations
185 papers, 3.8k citations indexed

About

Ronald M. Aarts is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ronald M. Aarts has authored 185 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Biomedical Engineering, 64 papers in Cognitive Neuroscience and 63 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ronald M. Aarts's work include Non-Invasive Vital Sign Monitoring (60 papers), EEG and Brain-Computer Interfaces (48 papers) and Heart Rate Variability and Autonomic Control (36 papers). Ronald M. Aarts is often cited by papers focused on Non-Invasive Vital Sign Monitoring (60 papers), EEG and Brain-Computer Interfaces (48 papers) and Heart Rate Variability and Autonomic Control (36 papers). Ronald M. Aarts collaborates with scholars based in Netherlands, United States and Germany. Ronald M. Aarts's co-authors include Xi Long, Pedro Fonseca, Danhua Zhu, Gary Garcia‐Molina, Jordi Bieger, Reinder Haakma, A. J. E. M. Janssen, Mustafa Radha, Dirk Pevernagie and Jérôme Foussier and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and PLoS ONE.

In The Last Decade

Ronald M. Aarts

173 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ronald M. Aarts Netherlands 33 1.6k 1.6k 1.0k 586 574 185 3.8k
Ahsan H. Khandoker United Arab Emirates 33 988 0.6× 1.4k 0.9× 1.9k 1.8× 577 1.0× 276 0.5× 301 4.7k
James McNames United States 33 583 0.4× 1.3k 0.8× 971 0.9× 471 0.8× 301 0.5× 157 3.9k
Anna Maria Bianchi Italy 41 2.3k 1.5× 1.6k 1.0× 1.8k 1.8× 803 1.4× 295 0.5× 328 5.9k
Philip de Chazal Australia 29 2.3k 1.5× 1.8k 1.1× 2.5k 2.4× 1.5k 2.6× 583 1.0× 142 4.7k
Ganesh R. Naik Australia 39 1.8k 1.1× 2.0k 1.3× 552 0.5× 133 0.2× 723 1.3× 173 4.3k
M. Brandon Westover United States 50 3.5k 2.2× 512 0.3× 611 0.6× 873 1.5× 523 0.9× 347 8.0k
Pasi A. Karjalainen Finland 34 1.5k 1.0× 2.0k 1.3× 2.9k 2.8× 519 0.9× 242 0.4× 166 7.2k
Bart Jansen Belgium 38 2.5k 1.6× 757 0.5× 219 0.2× 646 1.1× 404 0.7× 206 5.9k
Choo Min Lim Singapore 20 1.5k 1.0× 1.1k 0.7× 2.2k 2.2× 157 0.3× 379 0.7× 29 4.3k
Tapio Seppänen Finland 41 1.2k 0.8× 1.6k 1.0× 3.6k 3.5× 201 0.3× 466 0.8× 257 7.3k

Countries citing papers authored by Ronald M. Aarts

Since Specialization
Citations

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

Fields of papers citing papers by Ronald M. Aarts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ronald M. Aarts. 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 Ronald M. Aarts. The network helps show where Ronald M. Aarts may publish in the future.

Co-authorship network of co-authors of Ronald M. Aarts

This figure shows the co-authorship network connecting the top 25 collaborators of Ronald M. Aarts. A scholar is included among the top collaborators of Ronald M. Aarts 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 Ronald M. Aarts. Ronald M. Aarts 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.
Sun, Shaoxiong, Carola van Pul, Caifeng Shan, et al.. (2024). Characterising the motion and cardiorespiratory interaction of preterm infants can improve the classification of their sleep state. Acta Paediatrica. 113(6). 1236–1245. 1 indexed citations
2.
Ma, Caiyun, Xi Long, Rik Vullings, et al.. (2023). An Atrial Fibrillation Detection Strategy in Dynamic ECGs With Significant Individual Differences. IEEE Transactions on Instrumentation and Measurement. 73. 1–10. 5 indexed citations
3.
Ma, Caiyun, Zhongyu Wang, Lina Zhao, et al.. (2023). Deep Learning-based Signal Quality Assessment in Wearable ECG Monitoring. Computing in cardiology. 2 indexed citations
4.
Ma, Caiyun, Lina Zhao, Joachim A. Behar, et al.. (2023). A Review on Atrial Fibrillation Detection From Ambulatory ECG. IEEE Transactions on Biomedical Engineering. 71(3). 876–892. 6 indexed citations
5.
Ye, Tianchun, Xi Long, Ronald M. Aarts, et al.. (2022). A Two-Layer Ensemble Method for Detecting Epileptic Seizures Using a Self-Annotation Bracelet With Motor Sensors. IEEE Transactions on Instrumentation and Measurement. 71. 1–13. 18 indexed citations
6.
Wang, Ying, Ivan C. Zibrandtsen, R.H.C. Lazeron, et al.. (2021). Pitfalls in EEG Analysis in Patients With Nonconvulsive Status Epilepticus: A Preliminary Study. Clinical EEG and Neuroscience. 54(3). 255–264.
7.
Eerikäinen, Linda M., A. Bonomi, Lukas Dekker, et al.. (2019). How Accurately Can We Detect Atrial Fibrillation Using Photoplethysmography Data Measured in Daily Life. Computing in Cardiology Conference. 1–4. 2 indexed citations
8.
Andriessen, Peter, et al.. (2019). Automated preterm infant sleep staging using capacitive electrocardiography. Physiological Measurement. 40(5). 55003–55003. 13 indexed citations
9.
Radha, Mustafa, Nikita B Rajani, Pedro Fonseca, et al.. (2019). Estimating blood pressure trends and the nocturnal dip from photoplethysmography. Physiological Measurement. 40(2). 25006–25006. 61 indexed citations
10.
Radha, Mustafa, Nikita B Rajani, Pedro Fonseca, et al.. (2018). Wrist-worn blood pressure tracking in healthy free-living individuals using neural networks. arXiv (Cornell University). 2 indexed citations
11.
Bonomi, A., et al.. (2017). Detecting Episodes of Brady- and Tachycardia Using Photo-plethysmography at the Wrist in Free-living Conditions. Computing in cardiology. 44. 10 indexed citations
12.
Bonomi, A., et al.. (2016). Atrial Fibrillation Detection Using Photo:plethysmography and Acceleration Data at the Wrist. Computing in cardiology. 43. 45 indexed citations
13.
Torabi, Azam, et al.. (2013). Sensitivity of a wearable bioimpedance monitor to changes in the thoracic fluid content of heart failure patients. TU/e Research Portal. 927–930. 6 indexed citations
14.
Aarts, Ronald M. & A. J. E. M. Janssen. (2009). Estimating the Velocity Profile and Acoustical Quantities of a Harmonically Vibrating Loudspeaker Membrane from On-Axis Pressure Data. TU/e Research Portal. 57(12). 1004–1015. 3 indexed citations
15.
Larsen, Erik, et al.. (2002). Efficient High-frequency Bandwidth Extension of Music and Speech. Journal of the Audio Engineering Society. 17 indexed citations
16.
Irwan, Roy & Ronald M. Aarts. (2002). Two-to-Five Channel Sound Processing *. Journal of the Audio Engineering Society. 50(11). 914–926. 37 indexed citations
17.
Aarts, Ronald M., et al.. (2002). Three-dimensional headphone sound reproduction based on active noise cancellation. Journal of the Audio Engineering Society. 1 indexed citations
18.
Aarts, Ronald M.. (2000). Phantom Sources Applied to Stereo-Base Widening. Journal of the Audio Engineering Society. 48(3). 181–189. 9 indexed citations
19.
Larsen, Erik & Ronald M. Aarts. (2000). Perceiving Low Pitch through Small Loudspeakers. Journal of the Audio Engineering Society. 3 indexed citations
20.
Aarts, Ronald M.. (1993). Enlarging the Sweet Spot for Stereophony by Time/Intensity Trading. Journal of the Audio Engineering Society. 1 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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