Arnaud Rosier

487 total citations
28 papers, 288 citations indexed

About

Arnaud Rosier is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Management Information Systems. According to data from OpenAlex, Arnaud Rosier has authored 28 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cardiology and Cardiovascular Medicine, 6 papers in Molecular Biology and 3 papers in Management Information Systems. Recurrent topics in Arnaud Rosier's work include Cardiac pacing and defibrillation studies (11 papers), Atrial Fibrillation Management and Outcomes (10 papers) and ECG Monitoring and Analysis (8 papers). Arnaud Rosier is often cited by papers focused on Cardiac pacing and defibrillation studies (11 papers), Atrial Fibrillation Management and Outcomes (10 papers) and ECG Monitoring and Analysis (8 papers). Arnaud Rosier collaborates with scholars based in France, United States and United Kingdom. Arnaud Rosier's co-authors include Jean‐Claude Daubert, Olivier Dameron, Anita Burgun, Cyril Grouin, Pierre Zweigenbaum, Philippe Mabo, Aysha Arshad, Ganesh Kamath, Paola Galimberti and François Regoli and has published in prestigious journals such as Journal of the American College of Cardiology, European Heart Journal and British Journal of Clinical Pharmacology.

In The Last Decade

Arnaud Rosier

25 papers receiving 281 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arnaud Rosier France 9 201 40 35 26 21 28 288
Christopher Reeder United States 7 187 0.9× 23 0.6× 22 0.6× 44 1.7× 10 0.5× 20 274
Frank C. Bennis Netherlands 10 80 0.4× 33 0.8× 36 1.0× 29 1.1× 10 0.5× 22 242
Ivan Lerner France 8 60 0.3× 76 1.9× 49 1.4× 20 0.8× 13 0.6× 13 240
Patricia Kovatch United States 8 69 0.3× 82 2.0× 25 0.7× 22 0.8× 19 0.9× 29 256
Fnu Sapna United States 8 61 0.3× 21 0.5× 48 1.4× 22 0.8× 8 0.4× 21 221
Irena Andršová Czechia 11 213 1.1× 27 0.7× 27 0.8× 54 2.1× 3 0.1× 27 305
Peter Farjo United States 7 200 1.0× 32 0.8× 15 0.4× 118 4.5× 8 0.4× 22 331
Nekane Larburu Spain 9 81 0.4× 50 1.3× 34 1.0× 12 0.5× 3 0.1× 29 236
Graham Cole United Kingdom 5 76 0.4× 15 0.4× 10 0.3× 44 1.7× 22 1.0× 12 199
Sreekar Mantena United States 10 17 0.1× 48 1.2× 50 1.4× 28 1.1× 13 0.6× 16 240

Countries citing papers authored by Arnaud Rosier

Since Specialization
Citations

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

Fields of papers citing papers by Arnaud Rosier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arnaud Rosier

This figure shows the co-authorship network connecting the top 25 collaborators of Arnaud Rosier. A scholar is included among the top collaborators of Arnaud Rosier 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 Arnaud Rosier. Arnaud Rosier 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.
Varma, Niraj, et al.. (2024). Impact of a universal monitoring system (“third party”) on outcomes of ICD patients: A nationwide study. Heart Rhythm. 22(10). 2661–2668. 2 indexed citations
2.
3.
Rosier, Arnaud, et al.. (2023). Improved diagnostic performance of insertable cardiac monitors by an artificial intelligence-based algorithm. EP Europace. 26(1). 4 indexed citations
4.
5.
Lazarus, Arnaud, et al.. (2023). Using technology to improve reconnection to remote monitoring in cardiac implantable electronic device patients. PubMed. 5(1). 1–7. 1 indexed citations
6.
7.
Galand, Vincent, Estelle Gandjbakhch, F. Sébag, et al.. (2021). Impact of COVID-19 on the incidence of cardiac arrhythmias in implantable cardioverter defibrillator recipients followed by remote monitoring. Archives of cardiovascular diseases. 114(5). 407–414. 8 indexed citations
8.
Moreau–Gaudry, Alexandre, Fabrice Denis, Enguerrand Habran, et al.. (2021). Les solutions numériques en santé, quelles valeurs apportées, quels mécanismes de financement et quelles évaluations ?. Therapies. 77(1). 117–132. 2 indexed citations
9.
Moreau–Gaudry, Alexandre, Fabrice Denis, Enguerrand Habran, et al.. (2021). What value do digital health solutions bring, what are the funding mechanisms and evaluations?. Therapies. 77(1). 133–147. 1 indexed citations
10.
Rosier, Arnaud, et al.. (2021). A novel machine learning algorithm has the potential to reduce by 1/3 the quantity of ILR episodes needing review. European Heart Journal. 42(Supplement_1). 4 indexed citations
11.
Rosier, Arnaud, et al.. (2021). Most remote monitoring alerts about atrial fibrillation are not relevant to identify clinically significant events: proposal of a new approach. European Heart Journal. 42(Supplement_1). 1 indexed citations
12.
Smith, Stephen W., Jérémy Rapin, Jia Li, et al.. (2019). A deep neural network for 12-lead electrocardiogram interpretation outperforms a conventional algorithm, and its physician overread, in the diagnosis of atrial fibrillation. IJC Heart & Vasculature. 25. 100423–100423. 29 indexed citations
13.
Rosier, Arnaud, Philippe Mabo, Olivier Dameron, et al.. (2015). Personalized and automated remote monitoring of atrial fibrillation. EP Europace. 18(3). 347–352. 19 indexed citations
14.
Seitz, Julien, Jérôme Lacotte, A Ferracci, et al.. (2014). Active or passive pulmonary vein in atrial fibrillation: Is pulmonary vein isolation always essential?. Heart Rhythm. 11(4). 579–586. 14 indexed citations
15.
Grouin, Cyril, Louise Deléger, Arnaud Rosier, et al.. (2011). Automatic computation of CHA2DS2-VASc score: information extraction from clinical texts for thromboembolism risk assessment.. PubMed. 2011. 501–10. 16 indexed citations
16.
Gasparini, Maurizio, Jonathan S. Steinberg, Aysha Arshad, et al.. (2010). Resumption of sinus rhythm in patients with heart failure and permanent atrial fibrillation undergoing cardiac resynchronization therapy: a longitudinal observational study. European Heart Journal. 31(8). 976–983. 53 indexed citations
17.
Grouin, Cyril, Arnaud Rosier, Olivier Dameron, & Pierre Zweigenbaum. (2009). Testing Tactics to Localize De-Identification. Studies in health technology and informatics. 150. 735–9. 16 indexed citations
18.
Charbit, Bény, Arnaud Rosier, Diane Bollens, et al.. (2008). Relationship between HIV protease inhibitors and QTc interval duration in HIV‐infected patients: a cross‐sectional study. British Journal of Clinical Pharmacology. 67(1). 76–82. 39 indexed citations
19.
Donal, Erwan, Christian de Place, Renaud Gervais, et al.. (2008). Resting Echocardiographic Assessments of Left Atrial Function and Filling Pressure Interest in the Understanding of Exercise Capacity in Patients with Chronic Congestive Heart Failure. Journal of the American Society of Echocardiography. 21(6). 703–710. 41 indexed citations
20.
Rosier, Arnaud, Anita Burgun, & Philippe Mabo. (2008). Using regular expressions to extract information on pacemaker implantation procedures from clinical reports.. PubMed. 81–5. 10 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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