Albert J. Rogers

2.0k total citations
92 papers, 1.2k citations indexed

About

Albert J. Rogers is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Albert J. Rogers has authored 92 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Cardiology and Cardiovascular Medicine, 14 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Albert J. Rogers's work include Atrial Fibrillation Management and Outcomes (28 papers), Cardiac electrophysiology and arrhythmias (26 papers) and Cardiac Arrhythmias and Treatments (24 papers). Albert J. Rogers is often cited by papers focused on Atrial Fibrillation Management and Outcomes (28 papers), Cardiac electrophysiology and arrhythmias (26 papers) and Cardiac Arrhythmias and Treatments (24 papers). Albert J. Rogers collaborates with scholars based in United States, Spain and United Kingdom. Albert J. Rogers's co-authors include Sanjiv M. Narayan, Chayakrit Krittanawong, Zhen Wang, Kipp W. Johnson, Doyun Park, Robert S. Sandler, Joseph A. Galanko, Anne F. Peery, Christopher F. Martin and Tina Baykaner and has published in prestigious journals such as Circulation, Gastroenterology and Journal of the American College of Cardiology.

In The Last Decade

Albert J. Rogers

78 papers receiving 1.2k citations

Peers

Albert J. Rogers
Aaron Peace United Kingdom
Elan R. Witkowski United States
Brandon K. Fornwalt United States
Subhi J. Al’Aref United States
Jonathan D Suever United States
Dorothy J. Ladewig United States
Jessica Torres Soto United States
Gaurav Satam United States
Stephen T. Vernon Australia
Bryan He United States
Aaron Peace United Kingdom
Albert J. Rogers
Citations per year, relative to Albert J. Rogers Albert J. Rogers (= 1×) peers Aaron Peace

Countries citing papers authored by Albert J. Rogers

Since Specialization
Citations

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

Fields of papers citing papers by Albert J. Rogers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Albert J. Rogers. 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 Albert J. Rogers. The network helps show where Albert J. Rogers may publish in the future.

Co-authorship network of co-authors of Albert J. Rogers

This figure shows the co-authorship network connecting the top 25 collaborators of Albert J. Rogers. A scholar is included among the top collaborators of Albert J. Rogers 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 Albert J. Rogers. Albert J. Rogers 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.
Albayrak, Yavuz, Daniel González, E Sun, et al.. (2025). PO-05-050 PREDICTORS OF ATRIAL FIBRILLATION IN PATIENTS ON NON-BRUTON’S TYROSINE KINASE INHIBITORS. Heart Rhythm. 22(4). S584–S585.
2.
Rogers, Albert J., Neal K. Bhatia, Sabyasachi Bandyopadhyay, et al.. (2025). Identification of cardiac wall motion abnormalities in diverse populations by deep learning of the electrocardiogram. npj Digital Medicine. 8(1). 21–21. 2 indexed citations
3.
Bandyopadhyay, Sabyasachi, Rishi Trivedi, Jasmine Hughes, et al.. (2025). Deep Learning–Based Continuous QT Monitoring to Identify High-Risk Prolongation Events After Class III Antiarrhythmic Initiation. Circulation. 153(1). 35–46.
4.
Hughes, J. Weston, Sulaiman Somani, Pierre Elias, et al.. (2024). Simple models vs. deep learning in detecting low ejection fraction from the electrocardiogram. European Heart Journal - Digital Health. 5(4). 427–434. 2 indexed citations
5.
Zhang, Huan, J. Weston Hughes, Albert J. Rogers, et al.. (2024). Serum Potassium Monitoring Using AI-Enabled Smartwatch Electrocardiograms. JACC. Clinical electrophysiology. 10(12). 2644–2654. 10 indexed citations
6.
Rappel, Wouter‐Jan, et al.. (2024). Spatially Conserved Spiral Wave Activity During Human Atrial Fibrillation. Circulation Arrhythmia and Electrophysiology. 17(3). e012041–e012041. 2 indexed citations
7.
Feng, Ruibin, Fleur V.Y. Tjong, Albert J. Rogers, et al.. (2023). Segmenting computed tomograms for cardiac ablation using machine learning leveraged by domain knowledge encoding. Frontiers in Cardiovascular Medicine. 10. 1189293–1189293. 4 indexed citations
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10.
Rodrigo, Miguel, Albert J. Rogers, Paul Clopton, et al.. (2023). Quantifying a spectrum of clinical response in atrial tachyarrhythmias using spatiotemporal synchronization of electrograms. EP Europace. 25(5). 8 indexed citations
11.
Azizi, Zahra, Pouria Alipour, Ashish Sarraju, et al.. (2023). Evaluating Recommendations About Atrial Fibrillation for Patients and Clinicians Obtained From Chat-Based Artificial Intelligence Algorithms. Circulation Arrhythmia and Electrophysiology. 16(7). 415–417. 9 indexed citations
12.
Bhatia, Neal K., Terrence Pong, Albert J. Rogers, et al.. (2022). Mapping Atrial Fibrillation After Surgical Therapy to Guide Endocardial Ablation. Circulation Arrhythmia and Electrophysiology. 15(6). e010502–e010502. 3 indexed citations
13.
Rodrigo, Miguel, et al.. (2022). Atrial fibrillation signatures on intracardiac electrograms identified by deep learning. Computers in Biology and Medicine. 145. 105451–105451. 13 indexed citations
14.
Tang, Siyi, Orod Razeghi, Mahmood Alhusseini, et al.. (2022). Machine Learning–Enabled Multimodal Fusion of Intra-Atrial and Body Surface Signals in Prediction of Atrial Fibrillation Ablation Outcomes. Circulation Arrhythmia and Electrophysiology. 15(8). e010850–e010850. 45 indexed citations
15.
Rogers, Albert J., et al.. (2021). Three dimensional reconstruction to visualize atrial fibrillation activation patterns on curved atrial geometry. PLoS ONE. 16(4). e0249873–e0249873. 1 indexed citations
16.
Benichi, Sandro, et al.. (2021). A case of intramuscular lumbar myxoma: Uncertainty in the preoperative diagnosis of a spinal soft tissue tumour. Neurochirurgie. 68(5). 530–534. 3 indexed citations
17.
Rodrigo, Miguel, Andreu M. Climent, Ismael Hernández‐Romero, et al.. (2020). Noninvasive Assessment of Complexity of Atrial Fibrillation. Circulation Arrhythmia and Electrophysiology. 13(3). e007700–e007700. 25 indexed citations
18.
Rogers, Albert J., Ryan T. Borne, Grant Ho, et al.. (2020). Continuous ablation improves lesion maturation compared with intermittent ablation strategies. Journal of Cardiovascular Electrophysiology. 31(7). 1687–1693. 5 indexed citations
19.
Alhusseini, Mahmood, Firas Abuzaid, Albert J. Rogers, et al.. (2020). Machine Learning to Classify Intracardiac Electrical Patterns During Atrial Fibrillation. Circulation Arrhythmia and Electrophysiology. 13(8). e008160–e008160. 40 indexed citations
20.
Berry, Geoffrey, Albert J. Rogers, & F D Pooley. (1989). Mesotheliomas--asbestos exposure and lung burden.. PubMed. 486–96. 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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