Martin Proença

891 total citations
40 papers, 543 citations indexed

About

Martin Proença is a scholar working on Surgery, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Martin Proença has authored 40 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Surgery, 27 papers in Biomedical Engineering and 22 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Martin Proença's work include Hemodynamic Monitoring and Therapy (28 papers), Non-Invasive Vital Sign Monitoring (26 papers) and Electrical and Bioimpedance Tomography (15 papers). Martin Proença is often cited by papers focused on Hemodynamic Monitoring and Therapy (28 papers), Non-Invasive Vital Sign Monitoring (26 papers) and Electrical and Bioimpedance Tomography (15 papers). Martin Proença collaborates with scholars based in Switzerland, Canada and Germany. Martin Proença's co-authors include Mathieu Lemay, Josep Solà, Fabian Braun, Jean‐Philippe Thiran, Andy Adler, Damien Ferrario, Guillaume Bonnier, Patrick Schoettker, Stefano F. Rimoldi and Cláudio Sartori and has published in prestigious journals such as PLoS ONE, Scientific Reports and European Heart Journal.

In The Last Decade

Martin Proença

39 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Proença Switzerland 15 341 295 295 164 61 40 543
Josep Solà Switzerland 20 462 1.4× 530 1.8× 605 2.1× 240 1.5× 109 1.8× 44 975
Sharon Zlochiver Israel 11 87 0.3× 120 0.4× 99 0.3× 206 1.3× 91 1.5× 34 367
Dan Loyd Sweden 16 163 0.5× 312 1.1× 165 0.6× 39 0.2× 59 1.0× 59 657
Iwao Fujimasa Japan 13 265 0.8× 151 0.5× 144 0.5× 92 0.6× 46 0.8× 74 531
Jarno Riistama Netherlands 14 234 0.7× 220 0.7× 62 0.2× 121 0.7× 62 1.0× 33 522
A D Leathard United Kingdom 11 188 0.6× 59 0.2× 146 0.5× 352 2.1× 106 1.7× 16 505
Th. J. C. Faes Netherlands 11 141 0.4× 126 0.4× 135 0.5× 124 0.8× 49 0.8× 21 393
Venu G. Ganti United States 11 238 0.7× 150 0.5× 103 0.3× 30 0.2× 32 0.5× 14 337
Andreia Moço Netherlands 10 411 1.2× 221 0.7× 236 0.8× 25 0.2× 35 0.6× 21 471
Mirko De Melis Netherlands 14 199 0.6× 683 2.3× 128 0.4× 28 0.2× 14 0.2× 44 802

Countries citing papers authored by Martin Proença

Since Specialization
Citations

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

Fields of papers citing papers by Martin Proença

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Proença

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Proença. A scholar is included among the top collaborators of Martin Proença 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 Martin Proença. Martin Proença 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.
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
2.
Proença, Martin, Guillaume Bonnier, Rodrigo Soria, et al.. (2023). Method-comparison study between a watch-like sensor and a cuff-based device for 24-h ambulatory blood pressure monitoring. Scientific Reports. 13(1). 6149–6149. 5 indexed citations
3.
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
4.
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
5.
Proença, Martin, et al.. (2022). Generalization Capability of a Neural Network for Blood Pressure Estimation from Photoplethysmography. Computing in cardiology. 2 indexed citations
6.
Proença, Martin, Guillaume Bonnier, Alia Lemkaddem, et al.. (2021). Smartphone based blood pressure measurement: accuracy of the OptiBP mobile application according to the AAMI/ESH/ISO universal validation protocol. Blood Pressure Monitoring. 26(6). 441–448. 28 indexed citations
7.
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
8.
Schoettker, Patrick, Martin Proença, Guillaume Bonnier, et al.. (2020). Blood pressure measurements with the OptiBP smartphone app validated against reference auscultatory measurements. Scientific Reports. 10(1). 17827–17827. 45 indexed citations
9.
Jorge, João, Martin Proença, Guillaume Bonnier, et al.. (2020). Machine Learning Approaches For Improved Continuous, Non-occlusive Arterial Pressure Monitoring Using Photoplethysmography. PubMed. 130. 910–913. 6 indexed citations
10.
Braun, Fabian, Martin Proença, Josep Solà, et al.. (2019). Noninvasive measurement of stroke volume changes in critically ill patients by means of electrical impedance tomography. Journal of Clinical Monitoring and Computing. 34(5). 903–911. 10 indexed citations
11.
Braun, Fabian, Martin Proença, Andy Adler, et al.. (2018). Accuracy and reliability of noninvasive stroke volume monitoring via ECG-gated 3D electrical impedance tomography in healthy volunteers. PLoS ONE. 13(1). e0191870–e0191870. 26 indexed citations
12.
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
13.
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
14.
Proença, Martin, Fabian Braun, Josep Solà, Jean‐Philippe Thiran, & Mathieu Lemay. (2016). Noninvasive pulmonary artery pressure monitoring by EIT: a model-based feasibility study. Medical & Biological Engineering & Computing. 55(6). 949–963. 21 indexed citations
15.
Proença, Martin, Fabian Braun, J. Solà, et al.. (2016). Non-invasive monitoring of pulmonary artery pressure at the bedside. PubMed. 279. 4236–4239. 3 indexed citations
16.
Rapin, M, Martin Proença, Fabian Braun, et al.. (2015). Cooperative dry-electrode sensors for multi-lead biopotential and bioimpedance monitoring. Physiological Measurement. 36(4). 767–783. 17 indexed citations
17.
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
18.
Chételat, Olivier, et al.. (2015). Clinical validation of LTMS-S: A wearable system for vital signs monitoring. PubMed. 2015. 3125–3128. 13 indexed citations
19.
Braun, Fabian, Martin Proença, M Rapin, et al.. (2015). Aortic blood pressure measured via EIT: investigation of different measurement settings. Physiological Measurement. 36(6). 1147–1159. 12 indexed citations
20.
Proença, Martin, Fabian Braun, Mathieu Lemay, et al.. (2014). Understanding the Genesis of Cardiac Signals in Electrical Impedance Tomography. 27–34. 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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