Mathieu Lemay

1.9k total citations
96 papers, 1.1k citations indexed

About

Mathieu Lemay is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Surgery. According to data from OpenAlex, Mathieu Lemay has authored 96 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Cardiology and Cardiovascular Medicine, 30 papers in Biomedical Engineering and 24 papers in Surgery. Recurrent topics in Mathieu Lemay's work include ECG Monitoring and Analysis (30 papers), Non-Invasive Vital Sign Monitoring (30 papers) and Hemodynamic Monitoring and Therapy (23 papers). Mathieu Lemay is often cited by papers focused on ECG Monitoring and Analysis (30 papers), Non-Invasive Vital Sign Monitoring (30 papers) and Hemodynamic Monitoring and Therapy (23 papers). Mathieu Lemay collaborates with scholars based in Switzerland, Canada and United States. Mathieu Lemay's co-authors include Jean-Marc Vésin, Martin Proença, Mohamed Cheriet, Vincent Jacquemet, Kim Khoa Nguyen, Lukas Kappenberger, Josep Solà, Fabian Braun, Sergi Figuerola and A. van Oosterom and has published in prestigious journals such as PLoS ONE, Scientific Reports and European Heart Journal.

In The Last Decade

Mathieu Lemay

90 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathieu Lemay Switzerland 20 508 322 246 219 184 96 1.1k
Esko Alasaarela Finland 19 134 0.3× 283 0.9× 128 0.5× 192 0.9× 189 1.0× 68 1.0k
Matteo Gadaleta United States 13 146 0.3× 277 0.9× 109 0.4× 34 0.2× 83 0.5× 23 968
Sokwoo Rhee United States 12 334 0.7× 591 1.8× 139 0.6× 177 0.8× 224 1.2× 29 975
Mauricio Villarroel United Kingdom 18 912 1.8× 1.2k 3.8× 76 0.3× 817 3.7× 47 0.3× 35 2.3k
Álvaro Alesanco Spain 18 304 0.6× 261 0.8× 27 0.1× 77 0.4× 124 0.7× 53 889
P. Rubel France 20 1.1k 2.1× 203 0.6× 47 0.2× 119 0.5× 269 1.5× 112 1.6k
M. Alwan United States 13 119 0.2× 443 1.4× 161 0.7× 74 0.3× 142 0.8× 23 1.1k
Rune Fensli Norway 12 196 0.4× 219 0.7× 56 0.2× 35 0.2× 128 0.7× 54 597
Fei Zuo United States 18 370 0.7× 125 0.4× 55 0.2× 201 0.9× 30 0.2× 72 1.4k
Ebrahim Nemati United States 17 241 0.5× 481 1.5× 74 0.3× 77 0.4× 77 0.4× 62 1.1k

Countries citing papers authored by Mathieu Lemay

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Lemay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathieu Lemay

This figure shows the co-authorship network connecting the top 25 collaborators of Mathieu Lemay. A scholar is included among the top collaborators of Mathieu Lemay 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 Mathieu Lemay. Mathieu Lemay 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.
3.
Terés, Cheryl, Claudia Herrera‐Siklody, Alessandra Pia Porretta, et al.. (2023). A Comparative Study on Detecting Heart Beats in Photoplethysmography Signals in Presence of Various Cardiac Arrhythmias. Computing in cardiology. 50.
4.
Lemay, Mathieu, et al.. (2023). PrivaTree: Collaborative Privacy-Preserving Training of Decision Trees on Biomedical Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21(1). 1–13. 6 indexed citations
5.
Jorge, João, et al.. (2023). Blood pressure monitoring during anesthesia induction using PPG morphology features and machine learning. PLoS ONE. 18(2). e0279419–e0279419. 7 indexed citations
6.
Proença, Martin, et al.. (2022). Photoplethysmography-Based Blood Pressure Monitoring Could Improve Patient Outcome during Anesthesia Induction. Journal of Personalized Medicine. 12(10). 1571–1571. 1 indexed citations
7.
Proença, Martin, Guillaume Bonnier, Alia Lemkaddem, et al.. (2022). A novel smartphone app for blood pressure measurement: a proof-of-concept study against an arterial catheter. Journal of Clinical Monitoring and Computing. 37(1). 249–259. 12 indexed citations
8.
Braun, Fabian, et al.. (2020). Challenging the Limitations of Atrial Fibrillation Detection in the Presence of Other Cardiac Arrythmias. PubMed. 2020. 5000–5003. 2 indexed citations
9.
Proença, Martin, Fabian Braun, Mathieu Lemay, et al.. (2020). Non-invasive pulmonary artery pressure estimation by electrical impedance tomography in a controlled hypoxemia study in healthy subjects. Scientific Reports. 10(1). 21462–21462. 15 indexed citations
10.
Braun, Fabian, Martin Proença, Mathieu Lemay, et al.. (2017). Limitations and challenges of EIT-based monitoring of stroke volume and pulmonary artery pressure. Physiological Measurement. 39(1). 14003–14003. 19 indexed citations
11.
Proença, Martin, Fabian Braun, Josep Solà, et al.. (2016). Non-invasive monitoring of pulmonary artery pressure from timing information by EIT: experimental evaluation during induced hypoxia. Physiological Measurement. 37(6). 713–726. 18 indexed citations
12.
Proença, Martin, Fabian Braun, M Rapin, et al.. (2015). Influence of heart motion on cardiac output estimation by means of electrical impedance tomography: a case study. Physiological Measurement. 36(6). 1075–1091. 15 indexed citations
13.
Nguyen, Kim Khoa, et al.. (2010). Ontology-Based Resource Description and Discovery Framework for Low Carbon Grid Networks. 477–482. 24 indexed citations
14.
Lemay, Mathieu, et al.. (2009). Predicting Acute Hypotensive Episodes. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 9 indexed citations
15.
Duchêne, Cécile, et al.. (2009). Adaptive multiple frequency tracking algorithm: Detection of stable atrial fibrillation sources from standard 12-lead ECG. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 505–508. 2 indexed citations
16.
Lemay, Mathieu, et al.. (2009). Computers in Cardiology / Physionet Challenge 2009: Predicting acute hypotensive episodes. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 637–640. 22 indexed citations
17.
Lemay, Mathieu, et al.. (2009). Activity level of an atrial ectopic focus observed through the atrial vectorcardiogram: A biophysical model. 221–224. 1 indexed citations
18.
Lemay, Mathieu, Jean-Marc Vésin, A. van Oosterom, Vincent Jacquemet, & Lukas Kappenberger. (2007). Cancellation of Ventricular Activity in the ECG: Evaluation of Novel and Existing Methods. IEEE Transactions on Biomedical Engineering. 54(3). 542–546. 73 indexed citations
19.
Lemay, Mathieu, Jean-Marc Vésin, Vincent Jacquemet, et al.. (2007). Spatial dynamics of atrial activity assessed by the vectorcardiogram: from sinus rhythm to atrial fibrillation. EP Europace. 9(suppl_6). vi109–vi118. 8 indexed citations
20.
Lemay, Mathieu & Jean-Marc Vésin. (2006). QRST Cancellation based on the empirical mode decomposition. Computing in Cardiology Conference. 561–564. 5 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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