Tanner Carbonati

635 total citations
6 papers, 27 citations indexed

About

Tanner Carbonati is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases and Organic Chemistry. According to data from OpenAlex, Tanner Carbonati has authored 6 papers receiving a total of 27 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 0 papers in Infectious Diseases and 0 papers in Organic Chemistry. Recurrent topics in Tanner Carbonati's work include ECG Monitoring and Analysis (6 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Cardiac Arrhythmias and Treatments (2 papers). Tanner Carbonati is often cited by papers focused on ECG Monitoring and Analysis (6 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Cardiac Arrhythmias and Treatments (2 papers). Tanner Carbonati collaborates with scholars based in France, United States and India. Tanner Carbonati's co-authors include Jagmeet P. Singh, Jia Li, Christine Henry, Kumar Narayanan, Jagmeet Singh, Jia Li, Christine Henry, Éloi Marijon, Brian Gow and Baptiste Maille and has published in prestigious journals such as Journal of the American College of Cardiology, European Heart Journal and Heart Rhythm.

In The Last Decade

Tanner Carbonati

4 papers receiving 27 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tanner Carbonati France	3	26	3	3	3	2	6	27
Thomas Sturmberger Austria	2	20 0.8×	3 1.0×		3 1.0×	3 1.5×	3	22
Javier Ramos‐Maqueda Spain	4	25 1.0×	2 0.7×		1 0.3×	2 1.0×	12	29
Rodrigo Isa Spain	4	21 0.8×	3 1.0×		1 0.3×	3 1.5×	7	22
Darius P. Sholevar United States	3	31 1.2×			3 1.0×	1 0.5×	6	34
Michel Cabrera Ortega Cuba	3	17 0.7×			3 1.0×	2 1.0×	6	17
Oriol Aguiló Spain	4	15 0.6×			4 1.3×	1 0.5×	5	16
Emre Özmen Türkiye	3	27 1.0×			2 0.7×	4 2.0×	9	28
Sophie Welch United Kingdom	4	25 1.0×			3 1.0×		6	33
Jose F. Kerr Saraiva Argentina	1	18 0.7×			4 1.3×	1 0.5×	2	21
Olena Koval Ukraine	2	17 0.7×	1 0.3×		3 1.0×	1 0.5×	10	26

Countries citing papers authored by Tanner Carbonati

Since Specialization

Citations

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

Fields of papers citing papers by Tanner Carbonati

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanner Carbonati

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

All Works

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6 of 6 papers shown

1.

Carbonati, Tanner, Baptiste Maille, Kumar Narayanan, et al.. (2025). Deep Learning Can Unmask Conduction Tissue Disease From an Ambulatory ECG. Circulation Arrhythmia and Electrophysiology. 18(9). e013695–e013695.

2.

Carbonati, Tanner, Kumar Narayanan, Jia Li, et al.. (2025). Near-term prediction of sustained ventricular arrhythmias applying artificial intelligence to single-lead ambulatory electrocardiogram. European Heart Journal. 46(21). 1998–2008. 6 indexed citations

3.

Carbonati, Tanner, Parastou Eslami, Christine Henry, et al.. (2024). MIMIC-IV-ECG & MIMIC-IV-ECHO: DETECTION OF REGIONAL WALL MOTION ABNORMALITIES FROM ELECTROCARDIOGRAM USING DEEP LEARNING. Journal of the American College of Cardiology. 83(13). 1172–1172.

4.

Carbonati, Tanner, Kumar Narayanan, Jia Li, et al.. (2023). LB-456090-4 NEAR-TERM PREDICTION OF LIFE-THREATENING VENTRICULAR ARRHYTHMIAS USING ARTIFICIAL INTELLIGENCE-ENABLED SINGLE LEAD AMBULATORY ECG. Heart Rhythm. 20(7). 1084–1084. 2 indexed citations

5.

Singh, Jagmeet P., et al.. (2022). Short-term prediction of atrial fibrillation from ambulatory monitoring ECG using a deep neural network. European Heart Journal - Digital Health. 3(2). 208–217. 18 indexed citations

6.

Henry, Christine, et al.. (2022). SHORT TERM PREDICTION OF ATRIAL FIBRILLATION FROM AMBULATORY ECG USING DEEP LEARNING. Journal of the American College of Cardiology. 79(9). 2015–2015. 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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