Rheeda L. Ali

800 total citations
21 papers, 494 citations indexed

About

Rheeda L. Ali is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering. According to data from OpenAlex, Rheeda L. Ali has authored 21 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cardiology and Cardiovascular Medicine, 7 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Rheeda L. Ali's work include Cardiac Arrhythmias and Treatments (11 papers), Atrial Fibrillation Management and Outcomes (11 papers) and Cardiac electrophysiology and arrhythmias (9 papers). Rheeda L. Ali is often cited by papers focused on Cardiac Arrhythmias and Treatments (11 papers), Atrial Fibrillation Management and Outcomes (11 papers) and Cardiac electrophysiology and arrhythmias (9 papers). Rheeda L. Ali collaborates with scholars based in United States, United Kingdom and Belgium. Rheeda L. Ali's co-authors include Natalia A. Trayanova, David Spragg, Hugh Calkins, Joseph E. Marine, Patrick M. Boyle, Joe B. Hakim, Sohail Zahid, Konstantinos N. Aronis, Hiroshi Ashikaga and Adityo Prakosa and has published in prestigious journals such as Circulation, Cardiovascular Research and Frontiers in Physiology.

In The Last Decade

Rheeda L. Ali

20 papers receiving 489 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rheeda L. Ali United States	10	442	76	37	30	18	21	494
Elyar Ghafoori United States	9	413 0.9×	72 0.9×	37 1.0×	28 0.9×	13 0.7×	19	475
Peter Malamas United States	5	310 0.7×	93 1.2×	51 1.4×	46 1.5×	21 1.2×	6	380
Carolyn J. Park United States	6	257 0.6×	51 0.7×	28 0.8×	30 1.0×	20 1.1×	23	331
Steffen Schuler Germany	12	368 0.8×	58 0.8×	83 2.2×	35 1.2×	15 0.8×	40	465
David Soto‐Iglesias Spain	16	783 1.8×	125 1.6×	34 0.9×	15 0.5×	16 0.9×	59	830
William H. Franceschi United States	7	335 0.8×	34 0.4×	26 0.7×	43 1.4×	42 2.3×	8	394
Julie K. Shade United States	11	277 0.6×	76 1.0×	49 1.3×	49 1.6×	11 0.6×	16	419
Iain Sim United Kingdom	12	352 0.8×	67 0.9×	22 0.6×	16 0.5×	7 0.4×	33	415
D. U. J. Keller Germany	11	352 0.8×	53 0.7×	38 1.0×	64 2.1×	30 1.7×	22	408
Tarek Zghaib United States	15	676 1.5×	130 1.7×	27 0.7×	25 0.8×	14 0.8×	35	723

Countries citing papers authored by Rheeda L. Ali

Since Specialization

Citations

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

Fields of papers citing papers by Rheeda L. Ali

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rheeda L. Ali. 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 Rheeda L. Ali. The network helps show where Rheeda L. Ali may publish in the future.

Co-authorship network of co-authors of Rheeda L. Ali

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

All Works

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20 of 20 papers shown

Ali, Rheeda L., Adityo Prakosa, Patrick M. Boyle, et al.. (2025). Role of Structural Versus Cellular Remodeling in Atrial Arrhythmogenesis: Insights From Personalized Digital Twins. Circulation Arrhythmia and Electrophysiology. 18(9). e013898–e013898.

Ali, Rheeda L., et al.. (2025). The impact of diaphragmatic breathing exercises combined with facial cold stimulation on dyspnea perception, respiratory rate, and peak expiratory flow in COPD patients. 8(5). 574–581. 1 indexed citations

Lefebvre, Arthur H., Rheeda L. Ali, Julie K. Shade, et al.. (2024). PO-05-009 COMBINED LEFT AND RIGHT ATRIAL NETWORK (CLARANET): A DEEP LEARNING (DL) MODEL FOR REPRODUCIBLE LGE-MRI AUTOMATIC SEGMENTATION OF LEFT AND RIGHT ATRIA (LA/RA) IN ATRIAL FIBRILLATION (AF) TREATMENT PLANNING. Heart Rhythm. 21(5). S553–S554. 2 indexed citations

Shade, Julie K., Ryan Bradley, Rheeda L. Ali, et al.. (2023). LASSNet: A Four Steps Deep Neural Network for Left Atrial Segmentation and Scar Quantification. Lecture notes in computer science. 13586. 1–15. 5 indexed citations

Paliwal, Nikhil, Rheeda L. Ali, Matteo Salvador, et al.. (2021). Presence of Left Atrial Fibrosis May Contribute to Aberrant Hemodynamics and Increased Risk of Stroke in Atrial Fibrillation Patients. Frontiers in Physiology. 12. 657452–657452. 29 indexed citations

Millare, Brent, Rheeda L. Ali, Patrick M. Boyle, et al.. (2021). B-PO05-007 RAPID AND ROBUST MAPPING OF CLINICAL DATA ON PERSONALIZED VOLUMETRIC ATRIAL GEOMETRIES. Heart Rhythm. 18(8). S374–S374. 1 indexed citations

Ali, Rheeda L., et al.. (2021). B-PO04-180 LEFT ATRIUM RIGHT ATRIUM NETWORK (LARANET): A DEEP NEURAL NETWORK FOR BIATRIAL SEGMENTATION FROM MRI AND CT IMAGES. Heart Rhythm. 18(8). S352–S352. 2 indexed citations

Ali, Rheeda L., Norman Qureshi, Silvia Liverani, et al.. (2020). Left Atrial Enhancement Correlates With Myocardial Conduction Velocity in Patients With Persistent Atrial Fibrillation. Frontiers in Physiology. 11. 570203–570203. 9 indexed citations

Shade, Julie K., Rheeda L. Ali, Dan M. Popescu, et al.. (2020). Preprocedure Application of Machine Learning and Mechanistic Simulations Predicts Likelihood of Paroxysmal Atrial Fibrillation Recurrence Following Pulmonary Vein Isolation. Circulation Arrhythmia and Electrophysiology. 13(7). e008213–e008213. 70 indexed citations

10.

Boyle, Patrick M., et al.. (2020). Characterizing the arrhythmogenic substrate in personalized models of atrial fibrillation: sensitivity to mesh resolution and pacing protocol in AF models. EP Europace. 23(Supplement_1). i3–i11. 17 indexed citations

11.

Aronis, Konstantinos N., Rheeda L. Ali, Adityo Prakosa, et al.. (2020). Accurate Conduction Velocity Maps and Their Association With Scar Distribution on Magnetic Resonance Imaging in Patients With Postinfarction Ventricular Tachycardias. Circulation Arrhythmia and Electrophysiology. 13(4). e007792–e007792. 21 indexed citations

12.

Paliwal, Nikhil, Ryan O’Hara, Usama A. Daimee, et al.. (2020). Abstract 15619: Personalized Assessment of Stroke Risk in AF Patients Undergoing Left Atrial Appendage Closure Using Blood-flow Analysis. Circulation. 142(Suppl_3). 1 indexed citations

13.

Boyle, Patrick M., Tarek Zghaib, Sohail Zahid, et al.. (2019). Computationally guided personalized targeted ablation of persistent atrial fibrillation. Nature Biomedical Engineering. 3(11). 870–879. 198 indexed citations

14.

Ali, Rheeda L., Joe B. Hakim, Patrick M. Boyle, et al.. (2019). Arrhythmogenic propensity of the fibrotic substrate after atrial fibrillation ablation: a longitudinal study using magnetic resonance imaging-based atrial models. Cardiovascular Research. 115(12). 1757–1765. 46 indexed citations

15.

Aronis, Konstantinos N., et al.. (2019). Understanding AF Mechanisms Through Computational Modelling and Simulations. Arrhythmia & Electrophysiology Review. 8(3). 210–219. 17 indexed citations

16.

Aronis, Konstantinos N., Rheeda L. Ali, & Natalia A. Trayanova. (2019). The role of personalized atrial modeling in understanding atrial fibrillation mechanisms and improving treatment. International Journal of Cardiology. 287. 139–147. 27 indexed citations

17.

Ali, Rheeda L., Chris D. Cantwell, Norman Qureshi, et al.. (2015). Automated fiducial point selection for reducing registration error in the co-localisation of left atrium electroanatomic and imaging data. PubMed. 2015. 1989–1992. 4 indexed citations

18.

Ali, Rheeda L., Chris D. Cantwell, Caroline H. Roney, et al.. (2014). A novel method for quantifying localised correlation of late-gadolinium intensity with conduction velocity. Research Portal (King's College London). 193–196. 4 indexed citations

19.

Cantwell, Chris D., Caroline H. Roney, Rheeda L. Ali, et al.. (2014). A software platform for the comparative analysis of electroanatomic and imaging data including conduction velocity mapping. PubMed. 103. 1591–1594. 13 indexed citations

20.

Roney, Caroline H., Chris D. Cantwell, Norman Qureshi, et al.. (2014). An automated algorithm for determining conduction velocity, wavefront direction and origin of focal cardiac arrhythmias using a multipolar catheter. PubMed. 2014. 1583–1586. 20 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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