Eline Oppersma

469 total citations
20 papers, 224 citations indexed

About

Eline Oppersma is a scholar working on Pulmonary and Respiratory Medicine, Critical Care and Intensive Care Medicine and Endocrine and Autonomic Systems. According to data from OpenAlex, Eline Oppersma has authored 20 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pulmonary and Respiratory Medicine, 8 papers in Critical Care and Intensive Care Medicine and 5 papers in Endocrine and Autonomic Systems. Recurrent topics in Eline Oppersma's work include Respiratory Support and Mechanisms (14 papers), Intensive Care Unit Cognitive Disorders (7 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (7 papers). Eline Oppersma is often cited by papers focused on Respiratory Support and Mechanisms (14 papers), Intensive Care Unit Cognitive Disorders (7 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (7 papers). Eline Oppersma collaborates with scholars based in Netherlands, United States and Chile. Eline Oppersma's co-authors include Leo Heunks, Jonne Doorduin, Frans H. de Jongh, Johannes G. van der Hoeven, Michiel Eijsvogel, Rinse Ubbink, Marjolein Brusse‐Keizer, Job van der Palen, Andreas Goetzenich and Sebastian Fritsch and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Journal of Applied Physiology and Sensors.

In The Last Decade

Eline Oppersma

16 papers receiving 221 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eline Oppersma Netherlands 7 124 99 87 41 40 20 224
Aeneas Yeo Australia 6 129 1.0× 198 2.0× 152 1.7× 13 0.3× 107 2.7× 12 321
Christopher Y. Tanaka United States 3 147 1.2× 288 2.9× 207 2.4× 24 0.6× 55 1.4× 5 347
Yamini Subramani Canada 9 141 1.1× 233 2.4× 152 1.7× 22 0.5× 37 0.9× 23 343
Frank Dette Germany 11 130 1.0× 85 0.9× 29 0.3× 23 0.6× 23 0.6× 33 310
F. Maltais Canada 8 224 1.8× 157 1.6× 92 1.1× 54 1.3× 13 0.3× 8 323
Serena Cirio Italy 9 223 1.8× 63 0.6× 25 0.3× 45 1.1× 6 0.1× 15 264
John C. Sanders United States 8 135 1.1× 121 1.2× 63 0.7× 12 0.3× 14 0.3× 15 288
Domagoj Damjanović Germany 8 57 0.5× 70 0.7× 53 0.6× 38 0.9× 15 0.4× 22 253
R. Sanii Canada 12 389 3.1× 130 1.3× 87 1.0× 21 0.5× 17 0.4× 16 478
Bernhard A. Votteri United States 4 145 1.2× 187 1.9× 150 1.7× 6 0.1× 41 1.0× 5 267

Countries citing papers authored by Eline Oppersma

Since Specialization
Citations

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

Fields of papers citing papers by Eline Oppersma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eline Oppersma

This figure shows the co-authorship network connecting the top 25 collaborators of Eline Oppersma. A scholar is included among the top collaborators of Eline Oppersma 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 Eline Oppersma. Eline Oppersma 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
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Oppersma, Eline, Mireille A. Edens, Jan Willem van den Berg, et al.. (2025). Diaphragm Ultrasound and Surface Electromyography as Predictors of Clinical Deterioration in Acute Exacerbations of COPD: A Prospective Observational Study. ERJ Open Research. 1102–2025.
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Heunks, Leo, Dirk W. Donker, Eline Oppersma, Coen A. C. Ottenheijm, & Jonne Doorduin. (2024). Diaphragm Pacing in Early Critical Illness? A Plea for a Super-Relaxed Approach. American Journal of Respiratory and Critical Care Medicine. 211(3). 316–318. 2 indexed citations
5.
Oppersma, Eline, et al.. (2024). Morphological Prediction of Continuous Positive Airway Pressure–Associated Acute Respiratory Instability. Annals of the American Thoracic Society. 22(1). 138–149. 6 indexed citations
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Strik, Marc, Rémi Dubois, Sylvain Ploux, et al.. (2023). Using a Smartwatch to Record Precordial Electrocardiograms: A Validation Study. Sensors. 23(5). 2555–2555. 14 indexed citations
9.
Moore, Candace, et al.. (2023). ReSurfEMG: A Python library for preprocessing andanalysis of respiratory EMG.. The Journal of Open Source Software. 8(90). 5251–5251.
10.
Mulder, Marijn P., Libera Fresiello, Alexander D. Cornet, et al.. (2023). Computational physiological models for individualised mechanical ventilation: a systematic literature review focussing on quality, availability, and clinical readiness. Critical Care. 27(1). 268–268. 6 indexed citations
11.
Oppersma, Eline, et al.. (2023). Surface electromyography to quantify neuro-respiratory drive and neuro-mechanical coupling in mechanically ventilated children. Respiratory Research. 24(1). 77–77. 2 indexed citations
12.
Oppersma, Eline, Wolfgang Ganglberger, Haoqi Sun, Robert J. Thomas, & M. Brandon Westover. (2020). Algorithm for automatic detection of self-similarity and prediction of residual central respiratory events during continuous positive airway pressure. SLEEP. 44(4). 13 indexed citations
13.
Oppersma, Eline, Jonne Doorduin, Lisanne H. Roesthuis, et al.. (2020). Patient-Ventilator Interaction During Noninvasive Ventilation in Subjects With Exacerbation of COPD: Effect of Support Level and Ventilator Mode. Respiratory Care. 65(9). 1315–1322. 5 indexed citations
14.
Jongh, Frans H. de, Heder de Vries, Eline Oppersma, et al.. (2020). Ventilating two patients with one ventilator: technical setup and laboratory testing. ERJ Open Research. 6(2). 256–2020. 4 indexed citations
15.
Oppersma, Eline, Jonne Doorduin, Lisanne H. Roesthuis, et al.. (2018). Glottic patency during noninvasive ventilation in patients with chronic obstructive pulmonary disease. Respiratory Physiology & Neurobiology. 259. 53–57. 5 indexed citations
16.
Oppersma, Eline, Jonne Doorduin, Johannes G. van der Hoeven, et al.. (2018). The effect of metabolic alkalosis on the ventilatory response in healthy subjects. Respiratory Physiology & Neurobiology. 249. 47–53. 14 indexed citations
17.
Oppersma, Eline, Nima Hatam, Jonne Doorduin, et al.. (2017). Functional assessment of the diaphragm by speckle tracking ultrasound during inspiratory loading. Journal of Applied Physiology. 123(5). 1063–1070. 57 indexed citations
18.
Oppersma, Eline, Nima Hatam, Jonne Doorduin, et al.. (2016). Speckle tracking echography allows sonographic assessment of diaphragmatic loading. University of Twente Research Information. PA3564–PA3564. 1 indexed citations
19.
Eijsvogel, Michiel, Rinse Ubbink, Eline Oppersma, et al.. (2015). Sleep Position Trainer versus Tennis Ball Technique in Positional Obstructive Sleep Apnea Syndrome. Journal of Clinical Sleep Medicine. 11(2). 139–147. 79 indexed citations
20.
Oppersma, Eline, Jonne Doorduin, Erik H.F.M. van der Heijden, Johannes G. van der Hoeven, & Leo Heunks. (2013). Noninvasive ventilation and the upper airway: should we pay more attention?. Critical Care. 17(6). 245–245. 11 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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