R. Jané

4.8k total citations
226 papers, 3.5k citations indexed

About

R. Jané is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, R. Jané has authored 226 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Cardiology and Cardiovascular Medicine, 79 papers in Pulmonary and Respiratory Medicine and 78 papers in Biomedical Engineering. Recurrent topics in R. Jané's work include Obstructive Sleep Apnea Research (62 papers), ECG Monitoring and Analysis (53 papers) and Heart Rate Variability and Autonomic Control (48 papers). R. Jané is often cited by papers focused on Obstructive Sleep Apnea Research (62 papers), ECG Monitoring and Analysis (53 papers) and Heart Rate Variability and Autonomic Control (48 papers). R. Jané collaborates with scholars based in Spain, Argentina and Netherlands. R. Jané's co-authors include P. Caminal, Pablo Laguna, J.A. Fiz, J. Morera, Abel Torres, Jordi Solà‐Soler, Nitish V. Thakor, Leonardo Sarlabous, Hervé Rix and Luis Estrada and has published in prestigious journals such as PLoS ONE, Scientific Reports and CHEST Journal.

In The Last Decade

R. Jané

212 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Jané Spain 29 1.5k 1.2k 997 886 759 226 3.5k
Philip de Chazal Australia 29 2.5k 1.7× 1.8k 1.5× 697 0.7× 1.5k 1.7× 2.3k 3.1× 142 4.7k
P. Caminal Spain 29 2.5k 1.7× 1.2k 1.0× 426 0.4× 297 0.3× 1.0k 1.4× 197 4.1k
Daniel Álvarez Spain 33 461 0.3× 1.0k 0.9× 435 0.4× 1.7k 1.9× 990 1.3× 129 3.1k
Joachim A. Behar Israel 28 2.0k 1.3× 999 0.9× 454 0.5× 307 0.3× 944 1.2× 96 2.9k
Chandan Karmakar Australia 31 1.5k 1.0× 1.2k 1.0× 258 0.3× 391 0.4× 881 1.2× 174 3.8k
Ronald M. Aarts Netherlands 33 1.0k 0.7× 1.6k 1.3× 193 0.2× 586 0.7× 1.6k 2.1× 185 3.8k
Mathias Baumert Australia 36 3.0k 2.0× 899 0.8× 365 0.4× 761 0.9× 1.2k 1.5× 229 4.5k
Mauro Ursino Italy 41 1.5k 1.0× 768 0.7× 587 0.6× 296 0.3× 2.2k 2.9× 249 5.8k
Rik Vullings Netherlands 27 1.3k 0.9× 1.0k 0.9× 397 0.4× 140 0.2× 412 0.5× 137 2.1k
James McNames United States 33 971 0.6× 1.3k 1.1× 135 0.1× 471 0.5× 583 0.8× 157 3.9k

Countries citing papers authored by R. Jané

Since Specialization
Citations

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

Fields of papers citing papers by R. Jané

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Jané

This figure shows the co-authorship network connecting the top 25 collaborators of R. Jané. A scholar is included among the top collaborators of R. Jané 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 R. Jané. R. Jané 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.
Paredes, Ferran, et al.. (2024). Respiratory Sound Intensity as a Noninvasive Acoustic Biomarker in COPD. PubMed. 2024. 1–4.
2.
Groenendaal, Willemijn, et al.. (2024). Deep Learning-Based Event Counting for Apnea-Hypopnea Index Estimation Using Recursive Spiking Neural Networks. IEEE Transactions on Biomedical Engineering. 72(4). 1306–1315.
3.
Davidson, C, et al.. (2023). Differences in acoustic features of cough by pneumonia severity in patients with COVID-19: a cross-sectional study. ERJ Open Research. 9(3). 247–2022. 2 indexed citations
4.
5.
6.
González, Rubèn, Emili Vela, C Hernández, et al.. (2020). Health Outcomes from Home Hospitalization: Multisource Predictive Modeling. Journal of Medical Internet Research. 22(10). e21367–e21367. 9 indexed citations
7.
Estrada, Luis, Abel Torres, Leonardo Sarlabous, et al.. (2020). Evaluation of Respiratory Muscle Activity by Means of Concentric Ring Electrodes. IEEE Transactions on Biomedical Engineering. 68(3). 1005–1014. 5 indexed citations
8.
Romero, Daniel, Willemijn Groenendaal, C. J. P. P. Smeets, et al.. (2020). Relationship Between Heart Rate Recovery and Disease Severity in Chronic Obstructive Pulmonary Disease Patients. Computing in cardiology. 1 indexed citations
9.
Groenendaal, Willemijn, et al.. (2019). Chest Movement and Respiratory Volume both Contribute to Thoracic Bioimpedance during Loaded Breathing. Scientific Reports. 9(1). 20232–20232. 28 indexed citations
10.
Jané, R., et al.. (2019). Sleep Stage Influence on the Autonomic Modulation of Sleep Apnea Syndrome. Computing in Cardiology Conference. 1–4. 1 indexed citations
11.
Groenendaal, Willemijn, et al.. (2019). Analysis of Time Delay between Bioimpedance and Respiratory Volume Signals under Inspiratory Loaded Breathing. PubMed. 2019. 2365–2368. 5 indexed citations
12.
Estrada, Luis, John Moxham, Gerrard F. Rafferty, et al.. (2019). Noninvasive Assessment of Inspiratory Muscle Neuromechanical Coupling During Inspiratory Threshold Loading. IEEE Access. 7. 183634–183646. 4 indexed citations
13.
Sarlabous, Leonardo, John Moxham, Gerrard F. Rafferty, et al.. (2018). Surface mechanomyography and electromyography provide non-invasive indices of inspiratory muscle force and activation in healthy subjects. Scientific Reports. 8(1). 16921–16921. 23 indexed citations
14.
Solà‐Soler, Jordi, Beatriz F. Giraldo, J.A. Fiz, & R. Jané. (2017). Relationship between heart rate excursion and apnea duration in patients with Obstructive Sleep Apnea. PubMed. 5. 1539–1542. 10 indexed citations
15.
Fiz, J.A., et al.. (2014). Detecting Unilateral Phrenic Paralysis by Acoustic Respiratory Analysis. PLoS ONE. 9(4). e93595–e93595. 22 indexed citations
16.
Morgenstern, Christian, Winfried Randerath, Matthias Schwaibold, A. Bolz, & R. Jané. (2012). Feasibility of Noninvasive Single-Channel Automated Differentiation of Obstructive and Central Hypopneas with Nasal Airflow. Respiration. 85(4). 312–318. 4 indexed citations
17.
Morgenstern, Christian, R. Jané, Matthias Schwaibold, & Winfried Randerath. (2008). Automatic classification of inspiratory flow limitation assessed non-invasively during sleep. 1132–1135. 3 indexed citations
18.
Laciar, Eric, R. Jané, & Dana H. Brooks. (2006). Evaluation of myocardial damage in chagasic patients from the signal-averaged and beat-to beat analysis of the high resolution electrocardiogram. Computing in Cardiology Conference. 25–28. 7 indexed citations
19.
Laciar, Eric & R. Jané. (2005). Detección y Análisis Latido a Latido de Potenciales Tardíos Ventriculares mediante mapas Espectro-Temporales. Revista Iberoamericana de Automática e Informática Industrial RIAI. 2(3). 74–82.
20.
Fiz, J.A., José Morera, Jorge Abad, et al.. (1993). Acoustic Analysis of Vowel Emission in Obstructive Sleep Apnea. CHEST Journal. 104(4). 1093–1096. 47 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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