Remo Leber

518 total citations
18 papers, 271 citations indexed

About

Remo Leber is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Surgery. According to data from OpenAlex, Remo Leber has authored 18 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cardiology and Cardiovascular Medicine, 6 papers in Cognitive Neuroscience and 3 papers in Surgery. Recurrent topics in Remo Leber's work include ECG Monitoring and Analysis (14 papers), Cardiac electrophysiology and arrhythmias (9 papers) and EEG and Brain-Computer Interfaces (6 papers). Remo Leber is often cited by papers focused on ECG Monitoring and Analysis (14 papers), Cardiac electrophysiology and arrhythmias (9 papers) and EEG and Brain-Computer Interfaces (6 papers). Remo Leber collaborates with scholars based in Switzerland, Bulgaria and Denmark. Remo Leber's co-authors include Roger Abächerli, Ramun Schmid, Irena Jekova, Vessela Krasteva, Daniel P. Judge, Deeptankar DeMazumder, Calum A. MacRae, Angeliki Asimaki, Peter Andersen and Stephen P. Chelko and has published in prestigious journals such as PLoS ONE, The Journal of the Acoustical Society of America and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Remo Leber

18 papers receiving 260 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Remo Leber Switzerland 8 242 57 55 50 30 18 271
Juan José Sánchez Muñoz Spain 11 504 2.1× 41 0.7× 11 0.2× 60 1.2× 72 2.4× 66 547
Carmelo La Greca Italy 9 155 0.6× 16 0.3× 11 0.2× 6 0.1× 13 0.4× 28 253
A. SippensGroenewegen Netherlands 18 852 3.5× 39 0.7× 34 0.6× 5 0.1× 25 0.8× 41 888
Antonio Madaffari Switzerland 16 475 2.0× 6 0.1× 17 0.3× 14 0.3× 63 2.1× 60 533
Tiangang Zhu China 7 227 0.9× 8 0.1× 19 0.3× 10 0.2× 19 0.6× 22 247
U. Karbenn Germany 10 444 1.8× 10 0.2× 9 0.2× 10 0.2× 60 2.0× 24 464
Suresh Singarayar Australia 12 534 2.2× 5 0.1× 15 0.3× 11 0.2× 56 1.9× 16 565
Khaled Ramoul France 13 473 2.0× 6 0.1× 11 0.2× 23 0.5× 30 1.0× 18 482
Sampath K. Gollapudi United States 13 296 1.2× 14 0.2× 57 1.0× 21 0.4× 10 0.3× 26 370
Graziana Viola Italy 9 178 0.7× 8 0.1× 30 0.5× 5 0.1× 10 0.3× 29 223

Countries citing papers authored by Remo Leber

Since Specialization
Citations

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

Fields of papers citing papers by Remo Leber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Remo Leber

This figure shows the co-authorship network connecting the top 25 collaborators of Remo Leber. A scholar is included among the top collaborators of Remo Leber 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 Remo Leber. Remo Leber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Jekova, Irena, Remo Leber, Vessela Krasteva, & Ramun Schmid. (2018). Detection of Unicolor ECG Electrode Reversals in Standard 12-Lead ECG. Computing in cardiology. 4 indexed citations
2.
Jekova, Irena, Vessela Krasteva, Remo Leber, et al.. (2017). A real-time quality monitoring system for optimal recording of 12-lead resting ECG. Biomedical Signal Processing and Control. 34. 126–133. 14 indexed citations
3.
Krasteva, Vessela, Irena Jekova, Remo Leber, Ramun Schmid, & Roger Abächerli. (2016). Real-time arrhythmia detection with supplementary ECG quality and pulse wave monitoring for the reduction of false alarms in ICUs. Physiological Measurement. 37(8). 1273–1297. 23 indexed citations
4.
Isaksen, Jonas L., et al.. (2016). Quantification of the first-order high-pass filter's influence on the automatic measurements of the electrocardiogram. Computer Methods and Programs in Biomedicine. 139. 163–169. 7 indexed citations
5.
Jekova, Irena, Vessela Krasteva, Remo Leber, et al.. (2016). Inter-lead correlation analysis for automated detection of cable reversals in 12/16-lead ECG. Computer Methods and Programs in Biomedicine. 134. 31–41. 16 indexed citations
6.
Chelko, Stephen P., Angeliki Asimaki, Peter Andersen, et al.. (2016). Central role for GSK3β in the pathogenesis of arrhythmogenic cardiomyopathy. JCI Insight. 1(5). 121 indexed citations
7.
Abächerli, Roger, et al.. (2016). Digital DC-Reconstruction of AC-Coupled Electrophysiological Signals with a Single Inverting Filter. PLoS ONE. 11(3). e0150207–e0150207. 6 indexed citations
8.
Jekova, Irena, Vessela Krasteva, Remo Leber, et al.. (2016). Intersubject variability and intrasubject reproducibility of 12-lead ECG metrics: Implications for human verification. Journal of Electrocardiology. 49(6). 784–789. 13 indexed citations
9.
Isaksen, Jonas L., et al.. (2016). The first-order high-pass filter influences the automatic measurements of the electrocardiogram. 784–788. 5 indexed citations
10.
Schmid, Ramun, et al.. (2016). A Correction Formula for the ST-Segment Measurements of AC-Coupled Electrocardiograms. IEEE Transactions on Biomedical Engineering. 64(8). 1834–1840. 2 indexed citations
11.
Krasteva, Vessela, Irena Jekova, Remo Leber, Ramun Schmid, & Roger Abächerli. (2015). Superiority of Classification Tree versus Cluster, Fuzzy and Discriminant Models in a Heartbeat Classification System. PLoS ONE. 10(10). e0140123–e0140123. 32 indexed citations
12.
Krasteva, Vessela, Remo Leber, Irena Jekova, Ramun Schmid, & Roger Abächerli. (2014). Classification of supraventricular and ventricular beats by QRS template matching and decision tree. Computing in Cardiology. 349–352. 4 indexed citations
13.
Jekova, Irena, Remo Leber, Vessela Krasteva, Ramun Schmid, & Roger Abächerli. (2014). Lead quality monitoring for detection of the Optimal Snapshot Time to record resting ECG. Computing in Cardiology Conference. 573–576. 7 indexed citations
14.
Abächerli, Roger, Remo Leber, Irena Jekova, et al.. (2014). Detection performance of an automatic lead reversal detection module. Journal of Electrocardiology. 47(6). 907–907. 1 indexed citations
15.
Abächerli, Roger, Remo Leber, Mathieu Lemay, et al.. (2009). Development of a toolbox for electrocardiogram-based interpretation of atrial fibrillation. Journal of Electrocardiology. 42(6). 517–521. 4 indexed citations
16.
Abächerli, Roger, et al.. (2007). Performance study of textile electrocardiogram electrodes based on heart rate variability. Journal of Electrocardiology. 40(6). S30–S30. 2 indexed citations
17.
Abächerli, Roger, et al.. (2006). Improving automatic analysis of the electrocardiogram acquired during magnetic resonance imaging using magnetic field gradient artefact suppression. Journal of Electrocardiology. 39(4). S134–S139. 9 indexed citations
18.
Leber, Remo, et al.. (2004). Circuit and method for the adaptive suppression of an acoustic feedback. The Journal of the Acoustical Society of America. 115(3). 958–958. 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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