Albert Feeny

540 total citations
15 papers, 383 citations indexed

About

Albert Feeny is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Ocean Engineering. According to data from OpenAlex, Albert Feeny has authored 15 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Ocean Engineering. Recurrent topics in Albert Feeny's work include Cardiac electrophysiology and arrhythmias (7 papers), ECG Monitoring and Analysis (6 papers) and Cardiac pacing and defibrillation studies (5 papers). Albert Feeny is often cited by papers focused on Cardiac electrophysiology and arrhythmias (7 papers), ECG Monitoring and Analysis (6 papers) and Cardiac pacing and defibrillation studies (5 papers). Albert Feeny collaborates with scholars based in United States, Croatia and Thailand. Albert Feeny's co-authors include Anant Madabhushi, Mina K. Chung, Philippe Burlina, Mongkol Tadarati, Neil M. Bressler, David Freund, Brian F. Feeny, John Barnard, Larisa G. Tereshchenko and Zachi I. Attia and has published in prestigious journals such as Journal of the American College of Cardiology, Investigative Ophthalmology & Visual Science and Computers in Biology and Medicine.

In The Last Decade

Albert Feeny

15 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Albert Feeny United States	7	241	107	54	34	30	15	383
Geunyoung Lee Singapore	13	40 0.2×	361 3.4×	269 5.0×	38 1.1×	35 1.2×	20	464
Joshua Lampert United States	8	116 0.5×	33 0.3×	5 0.1×	35 1.0×	11 0.4×	32	196
Dejiang Xu Singapore	6	22 0.1×	158 1.5×	111 2.1×	22 0.6×	6 0.2×	15	252
Yanping Xue China	8	49 0.2×	118 1.1×	2 0.0×	40 1.2×	87 2.9×	15	298
Steffen Schuler Germany	12	368 1.5×	58 0.5×	4 0.1×	9 0.3×	83 2.8×	40	465
Cheng Wan China	12	38 0.2×	325 3.0×	234 4.3×	10 0.3×	72 2.4×	43	440
Ying-Chun Jheng Taiwan	11	9 0.0×	192 1.8×	125 2.3×	31 0.9×	42 1.4×	23	345
Abdolrahim Kadkhodamohammadi United Kingdom	10	119 0.5×	37 0.3×	17 0.3×	14 0.4×	171 5.7×	15	304
Sara El Hadji Italy	4	27 0.1×	262 2.4×	86 1.6×	5 0.1×	82 2.7×	4	421
Florin C. Ghesu United States	7	15 0.1×	122 1.1×	7 0.1×	25 0.7×	42 1.4×	13	223

Countries citing papers authored by Albert Feeny

Since Specialization

Citations

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

Fields of papers citing papers by Albert Feeny

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Albert Feeny

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

All Works

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15 of 15 papers shown

Feeny, Albert, Paul Schoenhagen, Walid I. Saliba, et al.. (2021). Machine Learning–Derived Fractal Features of Shape and Texture of the Left Atrium and Pulmonary Veins From Cardiac Computed Tomography Scans Are Associated With Risk of Recurrence of Atrial Fibrillation Postablation. Circulation Arrhythmia and Electrophysiology. 14(3). e009265–e009265. 31 indexed citations

Feeny, Albert, Mina K. Chung, Anant Madabhushi, et al.. (2020). Artificial Intelligence and Machine Learning in Arrhythmias and Cardiac Electrophysiology. Circulation Arrhythmia and Electrophysiology. 13(8). e007952–e007952. 138 indexed citations

Feeny, Albert, John Rickard, Kevin Trulock, et al.. (2020). Machine Learning of 12-Lead QRS Waveforms to Identify Cardiac Resynchronization Therapy Patients With Differential Outcomes. Circulation Arrhythmia and Electrophysiology. 13(7). e008210–e008210. 29 indexed citations

Feeny, Albert, John Rickard, Divyang Patel, et al.. (2019). MACHINE LEARNING PREDICTION OF ECHOCARDIOGRAPHIC RESPONSE AND SURVIVAL IN CARDIAC RESYNCHRONIZATION THERAPY. Journal of the American College of Cardiology. 73(9). 484–484. 1 indexed citations

Feeny, Albert, John Rickard, Divyang Patel, et al.. (2019). Machine Learning Prediction of Response to Cardiac Resynchronization Therapy. Circulation Arrhythmia and Electrophysiology. 12(7). e007316–e007316. 71 indexed citations

Pacheco, Kátia D., Yulia Wolfson, Philippe Burlina, et al.. (2016). Evaluation of automated drusen detection system for fundus photographs of patients with age-related macular degeneration. Investigative Ophthalmology & Visual Science. 57(12). 1611–1611. 4 indexed citations

Tereshchenko, Larisa G. & Albert Feeny. (2016). Patient:Specific Time:Varying Association between Spatial and Temporal Variability in Repolarization and High Sensitivity Troponin I. Computing in cardiology. 43. 333–336. 1 indexed citations

Tereshchenko, Larisa G., Albert Feeny, Erica Shelton, et al.. (2016). Dynamic Changes in High Sensitivity Cardiac Troponin I are Associated with Dynamic Changes in Sum Absolute QRST Integral on Surface Electrocardiogram in Acute Decompensated Heart Failure. Journal of Cardiac Failure. 22(8). S70–S70. 3 indexed citations

Tereshchenko, Larisa G., et al.. (2016). Dynamic Changes in High‐Sensitivity Cardiac Troponin I Are Associated with Dynamic Changes in Sum Absolute QRST Integral on Surface Electrocardiogram in Acute Decompensated Heart Failure. Annals of Noninvasive Electrocardiology. 22(1). 6 indexed citations

10.

Feeny, Albert & Larisa G. Tereshchenko. (2016). Beat-to-beat determinants of the beat-to-beat temporal and spatial variability of repolarization. Journal of Electrocardiology. 49(3). 417–422. 4 indexed citations

11.

Feeny, Albert, Mongkol Tadarati, David Freund, Neil M. Bressler, & Philippe Burlina. (2015). Automated segmentation of geographic atrophy of the retinal epithelium via random forests in AREDS color fundus images. Computers in Biology and Medicine. 65. 124–136. 59 indexed citations

12.

Feeny, Albert, Lichy Han, & Larisa G. Tereshchenko. (2014). Repolarization lability measured on 10-second ECG by spatial TT′ angle: Reproducibility and agreement with QT variability. Journal of Electrocardiology. 47(5). 708–715. 11 indexed citations

13.

Tereshchenko, Larisa G., et al.. (2014). Automated Analysis of the 12-lead ECG in the Emergency Department. Critical Pathways in Cardiology A Journal of Evidence-Based Medicine. 13(1). 25–28. 4 indexed citations

14.

Feeny, Brian F. & Albert Feeny. (2013). Complex Modal Analysis of the Swimming Motion of a Whiting. Journal of vibration and acoustics. 135(2). 19 indexed citations

15.

Feeny, Brian F. & Albert Feeny. (2011). Complex Modal Analysis of the Swimming Motion of a Whiting. 173–183. 2 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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