Nicolas Pilia

411 total citations
20 papers, 282 citations indexed

About

Nicolas Pilia is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Nicolas Pilia has authored 20 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cardiology and Cardiovascular Medicine, 3 papers in Cognitive Neuroscience and 2 papers in Molecular Biology. Recurrent topics in Nicolas Pilia's work include Cardiac electrophysiology and arrhythmias (18 papers), ECG Monitoring and Analysis (10 papers) and Cardiac Arrhythmias and Treatments (6 papers). Nicolas Pilia is often cited by papers focused on Cardiac electrophysiology and arrhythmias (18 papers), ECG Monitoring and Analysis (10 papers) and Cardiac Arrhythmias and Treatments (6 papers). Nicolas Pilia collaborates with scholars based in Germany, Italy and Switzerland. Nicolas Pilia's co-authors include Axel Loewe, Olaf Dössel, Gustavo Lenis, Walther H. W. Schulze, Claudia Nagel, Claus Schmitt, Tobias Oesterlein, Danila Potyagaylo, Armin Luik and Steffen Schuler and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Physiology and Computers in Biology and Medicine.

In The Last Decade

Nicolas Pilia

19 papers receiving 277 citations

Peers

Nicolas Pilia

CCM

PRM

RNMI

Omar Escalona United Kingdom

Ramun Schmid Bulgaria

Lucie Maršánová Czechia

Andrés Orozco‐Duque Colombia

Runnan He China

Alejandro Alcaine Spain

Tai Le United States

Walther H. W. Schulze Germany

M. Kania Poland

Omar Escalona United Kingdom

Nicolas Pilia

269 ×1.1

CCM

71 ×0.9

141 ×1.8

24 ×0.5

PRM

15 ×0.8

RNMI

Citations per year, relative to Nicolas Pilia Nicolas Pilia (= 1×) peers Omar Escalona

Countries citing papers authored by Nicolas Pilia

Since Specialization

Citations

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

Fields of papers citing papers by Nicolas Pilia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Pilia

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

All Works

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20 of 20 papers shown

Menza, Marius, Nicolas Pilia, Manfred Zehender, et al.. (2023). Mechano‐electrical interactions and heterogeneities in wild‐type and drug‐induced long QT syndrome rabbits. The Journal of Physiology. 602(18). 4511–4527.

Pilia, Nicolas, et al.. (2023). Non-invasive localization of the ventricular excitation origin without patient-specific geometries using deep learning. Artificial Intelligence in Medicine. 143. 102619–102619. 11 indexed citations

Pilia, Nicolas, Martin Eichenlaub, Juergen Allgeier, et al.. (2023). Analysis of the amplified p-wave enables identification of patients with atrial fibrillation during sinus rhythm. Frontiers in Cardiovascular Medicine. 10. 1095931–1095931. 1 indexed citations

Chen, Juan, Nicolas Pilia, Martin Eichenlaub, et al.. (2023). Structural and electrophysiological determinants of atrial cardiomyopathy identify remodeling discrepancies between paroxysmal and persistent atrial fibrillation. Frontiers in Cardiovascular Medicine. 9. 1101152–1101152. 2 indexed citations

Schuler, Steffen, Nicolas Pilia, Danila Potyagaylo, & Axel Loewe. (2021). Cobiveco: Consistent biventricular coordinates for precise and intuitive description of position in the heart -- with MATLAB implementation. arXiv (Cornell University). 24 indexed citations

Pilia, Nicolas, et al.. (2021). Electro-mechanical and mechano-electrical interactions in healthy and drug-induced LQTS rabbit hearts. EP Europace. 23(Supplement_3). 1 indexed citations

Pilia, Nicolas, et al.. (2020). ECGdeli - An open source ECG delineation toolbox for MATLAB. SoftwareX. 13. 100639–100639. 49 indexed citations

Pilia, Nicolas, Stefano Severi, Jochen G. Raimann, et al.. (2020). Quantification and classification of potassium and calcium disorders with the electrocardiogram: What do clinical studies, modeling, and reconstruction tell us?. APL Bioengineering. 4(4). 41501–41501. 11 indexed citations

Nagel, Claudia, Nicolas Pilia, Axel Loewe, & Olaf Dössel. (2020). Quantification of Interpatient 12-lead ECG Variabilities within a Healthy Cohort. SHILAP Revista de lepidopterología. 6(3). 493–496. 5 indexed citations

10.

Pilia, Nicolas, et al.. (2019). ECG-based Estimation of Potassium and Calcium Concentrations: Proof of Concept with Simulated Data. PubMed. 2019. 2610–2613. 6 indexed citations

11.

Pilia, Nicolas, et al.. (2019). Influence of ECG Lead Reduction Techniques for Extracellular Potassium and Calcium Concentration Estimation. Current Directions in Biomedical Engineering. 5(1). 69–72. 4 indexed citations

12.

Nagel, Claudia, et al.. (2019). Performance of Different Atrial Conduction Velocity Estimation Algorithms Improves with Knowledge about the Depolarization Pattern. Current Directions in Biomedical Engineering. 5(1). 101–104. 3 indexed citations

13.

Pilia, Nicolas, et al.. (2018). An adaptive spatio-temporal Gaussian filter for processing cardiac optical mapping data. Computers in Biology and Medicine. 102. 267–277. 9 indexed citations

14.

Loewe, Axel, et al.. (2018). A Heterogeneous Formulation of the Himeno et al. Human Ventricular Myocyte Model for Simulation of Body Surface ECGs. Computing in cardiology. 4 indexed citations

15.

Pilia, Nicolas, et al.. (2018). Effects of Serum Calcium Changes on the Cardiac Action Potential and the ECG in a Computational Model. Current Directions in Biomedical Engineering. 4(1). 251–254. 8 indexed citations

16.

Loewe, Axel, Tobias Oesterlein, Nicolas Pilia, et al.. (2017). An Interactive Virtual Reality Environment for Analysis of Clinical Atrial Arrhythmias and Ablation Planning. Computing in cardiology. 4 indexed citations

17.

Lenis, Gustavo, Nicolas Pilia, Axel Loewe, Walther H. W. Schulze, & Olaf Dössel. (2017). Comparison of Baseline Wander Removal Techniques considering the Preservation of ST Changes in the Ischemic ECG: A Simulation Study. Computational and Mathematical Methods in Medicine. 2017. 1–13. 85 indexed citations

18.

Pilia, Nicolas, Olaf Doessel, Gustavo Lenis, & Axel Loewe. (2017). ECG as a Tool to Estimate Potassium and Calcium Concentrations in the Extracellular Space. Computing in cardiology. 7 indexed citations

19.

Lenis, Gustavo, Nicolas Pilia, Tobias Oesterlein, et al.. (2015). P wave detection and delineation in the ECG based on the phase free stationary wavelet transform and using intracardiac atrial electrograms as reference. Biomedizinische Technik/Biomedical Engineering. 61(1). 37–56. 46 indexed citations

20.

Pilia, Nicolas, Gustavo Lenis, Axel Loewe, Walther H. W. Schulze, & Olaf Dössel. (2015). The impact of baseline wander removal techniques on the ST segment in simulated ischemic 12-lead ECGs. Current Directions in Biomedical Engineering. 1(1). 96–99. 2 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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