Sean Abreau

1.3k total citations · 1 hit paper
14 papers, 730 citations indexed

About

Sean Abreau is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Sean Abreau has authored 14 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Surgery. Recurrent topics in Sean Abreau's work include ECG Monitoring and Analysis (4 papers), Cardiac Arrhythmias and Treatments (3 papers) and Cardiac electrophysiology and arrhythmias (3 papers). Sean Abreau is often cited by papers focused on ECG Monitoring and Analysis (4 papers), Cardiac Arrhythmias and Treatments (3 papers) and Cardiac electrophysiology and arrhythmias (3 papers). Sean Abreau collaborates with scholars based in United States, Canada and Switzerland. Sean Abreau's co-authors include Geoffrey H. Tison, Jeffrey E. Olgin, Robert Avram, Gregory M. Marcus, Mark J. Pletcher, Peter Kuhar, Joseph E. Gonzalez, Joshua Barrios, Henry H. Hsia and Taylor Sittler and has published in prestigious journals such as Circulation, Annals of Internal Medicine and Journal of the American College of Cardiology.

In The Last Decade

Sean Abreau

12 papers receiving 709 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Worldwide Effect of COVID-19 on Physical Activity: A Descriptive Study

2020 550 citations Geoffrey H. Tison, Robert Avram et al. Annals of Internal Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sean Abreau United States	8	247	229	155	131	113	14	730
Ane Arbillaga‐Etxarri Spain	10	233 0.9×	203 0.9×	78 0.5×	102 0.8×	133 1.2×	34	668
Tanya Mailhot Canada	16	102 0.4×	65 0.3×	186 1.2×	93 0.7×	110 1.0×	61	777
Yolanda Ramallo‐Fariña Spain	14	70 0.3×	103 0.4×	66 0.4×	98 0.7×	173 1.5×	66	858
Alline Beleigoli Australia	15	158 0.6×	92 0.4×	246 1.6×	172 1.3×	287 2.5×	64	829
Leonie Klompstra Sweden	17	233 0.9×	87 0.4×	420 2.7×	91 0.7×	211 1.9×	80	997
Kadri Suija Estonia	14	107 0.4×	118 0.5×	48 0.3×	115 0.9×	133 1.2×	35	587
Francisca Galindo‐Garre Netherlands	17	74 0.3×	154 0.7×	51 0.3×	284 2.2×	163 1.4×	28	964
Mu‐Hsing Ho Hong Kong	15	134 0.5×	68 0.3×	62 0.4×	111 0.8×	119 1.1×	108	824
Vincenza Cofini Italy	18	51 0.2×	290 1.3×	106 0.7×	97 0.7×	85 0.8×	78	962

Countries citing papers authored by Sean Abreau

Since Specialization

Citations

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

Fields of papers citing papers by Sean Abreau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sean Abreau

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

All Works

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14 of 14 papers shown

Olgin, Jeffrey E., et al.. (2026). Multiview deep learning improves detection of major cardiac conditions from echocardiography. Nature Cardiovascular Research. 5(3). 234–245.

Hall, Cassandra, et al.. (2023). Kinematic Evidence of an Embedded Protoplanet in HD 142666 Identified by Machine Learning. The Astrophysical Journal. 947(2). 60–60. 2 indexed citations

Chaudhari, Gunvant, Joshua Barrios, Sean Abreau, et al.. (2023). Deep learning augmented ECG analysis to identify biomarker-defined myocardial injury. Scientific Reports. 13(1). 3364–3364. 7 indexed citations

Higuchi, Satoshi, Edward P. Gerstenfeld, Sung Il Im, et al.. (2023). Identification of supraventricular tachycardia mechanisms with surface electrocardiograms using a convolutional neural network. Heart Rhythm O2. 4(8). 491–499.

Siontis, Konstantinos C., Sean Abreau, Zachi I. Attia, et al.. (2023). Patient-Level Artificial Intelligence–Enhanced Electrocardiography in Hypertrophic Cardiomyopathy. JACC Advances. 2(8). 100582–100582. 12 indexed citations

Tison, Geoffrey H., Sean Abreau, Joshua Barrios, et al.. (2023). Identifying Mitral Valve Prolapse at Risk for Arrhythmias and Fibrosis From Electrocardiograms Using Deep Learning. JACC Advances. 2(6). 100446–100446. 13 indexed citations

Aras, Mandar A., Sean Abreau, Lakshmi Radhakrishnan, et al.. (2023). Electrocardiogram Detection of Pulmonary Hypertension Using Deep Learning. Journal of Cardiac Failure. 29(7). 1017–1028. 17 indexed citations

Avram, Robert, Jeffrey E. Olgin, Zeeshan Ahmed, et al.. (2023). CathAI: fully automated coronary angiography interpretation and stenosis estimation. npj Digital Medicine. 6(1). 142–142. 28 indexed citations

Avram, Robert, Joshua Barrios, Sean Abreau, et al.. (2023). Automated Assessment of Cardiac Systolic Function From Coronary Angiograms With Video-Based Artificial Intelligence Algorithms. JAMA Cardiology. 8(6). 586–586. 10 indexed citations

10.

Hall, Cassandra, et al.. (2022). Locating Hidden Exoplanets in ALMA Data Using Machine Learning. The Astrophysical Journal. 941(2). 192–192. 5 indexed citations

11.

Avram, Robert, Jeffrey E. Olgin, Alvin Wan, et al.. (2021). CATHAI: FULLY AUTOMATED CORONARY ANGIOGRAPHY INTERPRETATION AND STENOSIS DETECTION USING A DEEP LEARNING-BASED ALGORITHMIC PIPELINE. Journal of the American College of Cardiology. 77(18). 3244–3244. 3 indexed citations

12.

Hughes, J. Weston, Jeffrey E. Olgin, Robert Avram, et al.. (2021). Performance of a Convolutional Neural Network and Explainability Technique for 12-Lead Electrocardiogram Interpretation. JAMA Cardiology. 6(11). 1285–1285. 81 indexed citations

13.

Tison, Geoffrey H., Sean Abreau, Joshua Barrios, et al.. (2021). Abstract 13321: Identifying Mitral Valve Prolapse at Risk for Ventricular Arrhythmias and Myocardial Fibrosis From 12-lead ECGs Using Deep Learning. Circulation. 144(Suppl_1). 2 indexed citations

14.

Tison, Geoffrey H., Robert Avram, Peter Kuhar, et al.. (2020). Worldwide Effect of COVID-19 on Physical Activity: A Descriptive Study. Annals of Internal Medicine. 173(9). 767–770. 550 indexed citations breakdown →

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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