Marco Ross

868 total citations
24 papers, 589 citations indexed

About

Marco Ross is a scholar working on Physiology, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Marco Ross has authored 24 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Physiology, 13 papers in Cognitive Neuroscience and 11 papers in Biomedical Engineering. Recurrent topics in Marco Ross's work include Obstructive Sleep Apnea Research (17 papers), Non-Invasive Vital Sign Monitoring (11 papers) and EEG and Brain-Computer Interfaces (8 papers). Marco Ross is often cited by papers focused on Obstructive Sleep Apnea Research (17 papers), Non-Invasive Vital Sign Monitoring (11 papers) and EEG and Brain-Computer Interfaces (8 papers). Marco Ross collaborates with scholars based in Netherlands, United States and Finland. Marco Ross's co-authors include P. Anderer, Andreas Cerny, Arnaud Moreau, Pedro Fonseca, Xi Long, Mustafa Radha, Ronald M. Aarts, Sebastiaan Overeem, Merel M. van Gilst and Edmund Shaw and has published in prestigious journals such as Scientific Reports, Sensors and SLEEP.

In The Last Decade

Marco Ross

23 papers receiving 576 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Ross Netherlands 11 345 267 225 197 111 24 589
Arnaud Moreau Netherlands 7 236 0.7× 169 0.6× 144 0.6× 144 0.7× 87 0.8× 12 408
Mustafa Radha Netherlands 11 359 1.0× 242 0.9× 200 0.9× 353 1.8× 248 2.2× 18 697
Marion Boeck Austria 5 519 1.5× 281 1.1× 294 1.3× 95 0.5× 52 0.5× 7 667
Emer O’Hare Ireland 8 125 0.4× 180 0.7× 108 0.5× 102 0.5× 46 0.4× 10 336
Erdenebayar Urtnasan South Korea 12 187 0.5× 270 1.0× 105 0.5× 214 1.1× 155 1.4× 40 553
Su Hwan Hwang South Korea 15 181 0.5× 220 0.8× 108 0.5× 358 1.8× 193 1.7× 28 579
Daniel Mobley United States 6 425 1.2× 411 1.5× 292 1.3× 154 0.8× 115 1.0× 8 811
Sami Nikkonen Finland 13 238 0.7× 413 1.5× 161 0.7× 164 0.8× 82 0.7× 42 597
Yu. V. Sviryaev Russia 10 113 0.3× 169 0.6× 136 0.6× 85 0.4× 75 0.7× 90 410
Samu Kainulainen Finland 14 301 0.9× 503 1.9× 186 0.8× 194 1.0× 123 1.1× 51 769

Countries citing papers authored by Marco Ross

Since Specialization
Citations

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

Fields of papers citing papers by Marco Ross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Ross

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Ross. A scholar is included among the top collaborators of Marco Ross 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 Marco Ross. Marco Ross 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.
Ross, Marco, Andreas Cerny, P. Anderer, et al.. (2024). Overnight Sleep Staging Using Chest-Worn Accelerometry. Sensors. 24(17). 5717–5717. 3 indexed citations
2.
Fonseca, Pedro, Marco Ross, Andreas Cerny, et al.. (2024). Estimating the Severity of Obstructive Sleep Apnea Using ECG, Respiratory Effort and Neural Networks. IEEE Journal of Biomedical and Health Informatics. 28(7). 3895–3906. 2 indexed citations
3.
Fonseca, Pedro, Marco Ross, Andreas Cerny, et al.. (2023). A computationally efficient algorithm for wearable sleep staging in clinical populations. Scientific Reports. 13(1). 9182–9182. 13 indexed citations
4.
Overeem, Sebastiaan, Gabriele B. Papini, Johannes van Dijk, et al.. (2023). A sleep stage estimation algorithm based on cardiorespiratory signals derived from a suprasternal pressure sensor. Journal of Sleep Research. 33(2). e14015–e14015. 1 indexed citations
5.
Anderer, P., et al.. (2023). Overview of the hypnodensity approach to scoring sleep for polysomnography and home sleep testing. PubMed. 2. 1163477–1163477. 9 indexed citations
6.
Broek, Nynke van den, Fokke van Meulen, Marco Ross, et al.. (2023). Automated sleep staging in people with intellectual disabilities using heart rate and respiration variability. Journal of Intellectual Disability Research. 67(8). 720–733. 2 indexed citations
7.
Ross, Marco, Pedro Fonseca, Sebastiaan Overeem, et al.. (2023). Autonomic arousal detection and cardio-respiratory sleep staging improve the accuracy of home sleep apnea tests. Frontiers in Physiology. 14. 1254679–1254679. 3 indexed citations
8.
Anderer, P., Marco Ross, Andreas Cerny, & Edmund Shaw. (2022). Automated Scoring of Sleep and Associated Events. Advances in experimental medicine and biology. 1384. 107–130. 8 indexed citations
9.
Bakker, Jessie P., Marco Ross, Andreas Cerny, et al.. (2021). Estimating sleep stages using cardiorespiratory signals: validation of a novel algorithm across a wide range of sleep-disordered breathing severity. Journal of Clinical Sleep Medicine. 17(7). 1343–1354. 25 indexed citations
10.
Radha, Mustafa, Pedro Fonseca, Arnaud Moreau, et al.. (2021). A deep transfer learning approach for wearable sleep stage classification with photoplethysmography. npj Digital Medicine. 4(1). 135–135. 79 indexed citations
11.
Fonseca, Pedro, Marco Ross, Andreas Cerny, et al.. (2021). It is All in the Wrist: Wearable Sleep Staging in a Clinical Population versus Reference Polysomnography. Nature and Science of Sleep. Volume 13. 885–897. 49 indexed citations
12.
Gilst, Merel M. van, Pedro Fonseca, Mustafa Radha, et al.. (2020). Direct application of an ECG-based sleep staging algorithm on reflective photoplethysmography data decreases performance. BMC Research Notes. 13(1). 513–513. 12 indexed citations
13.
Fonseca, Pedro, Merel M. van Gilst, Mustafa Radha, et al.. (2020). Automatic sleep staging using heart rate variability, body movements, and recurrent neural networks in a sleep disordered population. SLEEP. 43(9). 57 indexed citations
14.
Anderer, P., Marco Ross, Andreas Cerny, & Arnaud Moreau. (2020). 0435 Autoscoring of Sleep and Associated Events Versus a Reference Scorer Competing with Three Additional Manual Scorings: A Clinical Validation Study. SLEEP. 43(Supplement_1). A167–A167. 2 indexed citations
15.
Leufkens, Tim, Merel M. van Gilst, Marco Ross, et al.. (2019). Sleep EEG characteristics associated with sleep onset misperception. Sleep Medicine. 57. 70–79. 31 indexed citations
16.
Radha, Mustafa, Pedro Fonseca, Arnaud Moreau, et al.. (2019). Sleep stage classification from heart-rate variability using long short-term memory neural networks. Scientific Reports. 9(1). 14149–14149. 115 indexed citations
17.
18.
Moreau, Arnaud, et al.. (2017). Detection of Nocturnal Scratching Movements in Patients with Atopic Dermatitis Using Accelerometers and Recurrent Neural Networks. IEEE Journal of Biomedical and Health Informatics. 22(4). 1011–1018. 35 indexed citations
19.
Peterson, Barry T., et al.. (2016). A novel actigraphy data analysis tool and its application to identifying the optimal threshold value in three subject populations. Physiological Measurement. 37(7). N49–N61. 2 indexed citations
20.
Anderer, P., Arnaud Moreau, Michael Woertz, et al.. (2010). Computer-Assisted Sleep Classification according to the Standard of the American Academy of Sleep Medicine: Validation Study of the AASM Version of the Somnolyzer 24 × 7. Neuropsychobiology. 62(4). 250–264. 95 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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