Ali Gharaviri

785 total citations
32 papers, 532 citations indexed

About

Ali Gharaviri is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ali Gharaviri has authored 32 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cardiology and Cardiovascular Medicine, 5 papers in Cognitive Neuroscience and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ali Gharaviri's work include Atrial Fibrillation Management and Outcomes (19 papers), Cardiac electrophysiology and arrhythmias (19 papers) and Cardiac Arrhythmias and Treatments (15 papers). Ali Gharaviri is often cited by papers focused on Atrial Fibrillation Management and Outcomes (19 papers), Cardiac electrophysiology and arrhythmias (19 papers) and Cardiac Arrhythmias and Treatments (15 papers). Ali Gharaviri collaborates with scholars based in Netherlands, Switzerland and United Kingdom. Ali Gharaviri's co-authors include Ulrich Schotten, Sander Verheule, Mohammad Teshnehlab, Nico Kuijpers, Jens Eckstein, Mark Potse, Elham Bidar, Mahdi Aliyari Shoorehdeli, Stef Zeemering and Angelo Auricchio and has published in prestigious journals such as PLoS ONE, Frontiers in Physiology and Progress in Biophysics and Molecular Biology.

In The Last Decade

Ali Gharaviri

28 papers receiving 518 citations

Peers

Ali Gharaviri

CCM

RNMI

CMN

Jonas L. Isaksen Denmark

Krishnakumar Nair Canada

Susan M. Blanchard United States

Katsumi Tateno Japan

K.L. Ripley United States

Marina Ronzhina Czechia

Janice M. Jenkins United States

Aurore Lyon Netherlands

Burak Erem United States

V.Z. Marmarelis United States

Jonas L. Isaksen Denmark

Ali Gharaviri

234 ×0.5

CCM

45 ×0.5

29 ×0.8

RNMI

40 ×1.2

15 ×0.5

CMN

Citations per year, relative to Ali Gharaviri Ali Gharaviri (= 1×) peers Jonas L. Isaksen

Countries citing papers authored by Ali Gharaviri

Since Specialization

Citations

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

Fields of papers citing papers by Ali Gharaviri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Gharaviri

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Gharaviri. A scholar is included among the top collaborators of Ali Gharaviri 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 Ali Gharaviri. Ali Gharaviri 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

Burns, Rachel, Irum Kotadia, Ali Gharaviri, et al.. (2025). GenECG: a synthetic image-based ECG dataset to augment artificial intelligence-enhanced algorithm development. BMJ Health & Care Informatics. 32(1). e101335–e101335.

Vickneson, Keeran, Ali Gharaviri, Irum Kotadia, et al.. (2025). Peri-Atrial Adipose Tissue Inflammation in Atrial Fibrillation. JACC. Clinical electrophysiology. 11(9). 1968–1979. 1 indexed citations

Monte, Alvise Del, Luigi Pannone, Ingrid Overeinder, et al.. (2024). Noninvasive electrocardiographic imaging assessment of conduction system pacing: A novel algorithm to assess intraventricular synchrony. Heart Rhythm O2. 6(3). 329–338.

Gharaviri, Ali, et al.. (2024). Enhancing OpenEP: atrial conduction velocity and conduction velocity heterogeneity quantification through EP Workbench. EP Europace. 26(Supplement_1).

Kotadia, Irum, Ali Gharaviri, Fernando Zelaya, et al.. (2023). The Impact of Atrial Fibrillation Treatment Strategies on Cognitive Function. Journal of Clinical Medicine. 12(9). 3050–3050. 9 indexed citations

Parise, Orlando, Akshayaa Vaidyanathan, Mariaelena Occhipinti, et al.. (2023). Machine Learning to Identify Patients at Risk of Developing New-Onset Atrial Fibrillation after Coronary Artery Bypass. Journal of Cardiovascular Development and Disease. 10(2). 82–82. 10 indexed citations

Solís-Lemus, José Alonso, Ali Gharaviri, Orod Razeghi, et al.. (2023). Evaluation of an open-source pipeline to create patient-specific left atrial models: A reproducibility study. Computers in Biology and Medicine. 162. 107009–107009. 13 indexed citations

Faraci, Francesca Dalia, et al.. (2023). Identification of Brugada syndrome based on P-wave features: an artificial intelligence-based approach. EP Europace. 25(11). 12 indexed citations

Williams, Michelle C., et al.. (2023). State of the art paper: Cardiac computed tomography of the left atrium in atrial fibrillation. Journal of cardiovascular computed tomography. 17(3). 166–176. 11 indexed citations

10.

Pezzuto, Simone, et al.. (2022). Fast Characterization of Inducible Regions of Atrial Fibrillation Models With Multi-Fidelity Gaussian Process Classification. Frontiers in Physiology. 13. 757159–757159. 10 indexed citations

11.

Gharaviri, Ali, Elham Bidar, Mark Potse, et al.. (2020). Epicardial Fibrosis Explains Increased Endo–Epicardial Dissociation and Epicardial Breakthroughs in Human Atrial Fibrillation. Frontiers in Physiology. 11. 68–68. 48 indexed citations

12.

Potse, Mark, Ali Gharaviri, Simone Pezzuto, et al.. (2018). Anatomically-Induced Fibrillation in a 3D Model of the Human Atria. Computing in cardiology. 5 indexed citations

13.

Gharaviri, Ali, Sander Verheule, Jens Eckstein, et al.. (2016). How disruption of endo-epicardial electrical connections enhances endo-epicardial conduction during atrial fibrillation. EP Europace. 19(2). euv445–euv445. 24 indexed citations

14.

Kuklik, Paweł, Elham Bidar, Ali Gharaviri, Jos G. Maessen, & Ulrich Schotten. (2014). Application of phase coherence in assessment of spatial alignment of electrodes during simultaneous endocardial-epicardial direct contact mapping of atrial fibrillation. EP Europace. 16(suppl 4). iv135–iv140. 2 indexed citations

15.

Verheule, Sander, Jens Eckstein, Dominik Linz, et al.. (2014). Role of endo-epicardial dissociation of electrical activity and transmural conduction in the development of persistent atrial fibrillation. Progress in Biophysics and Molecular Biology. 115(2-3). 173–185. 77 indexed citations

16.

Ganesan, Anand N., Paweł Kuklik, Ali Gharaviri, et al.. (2014). Origin and Characteristics of High Shannon Entropy at the Pivot of Locally Stable Rotors: Insights from Computational Simulation. PLoS ONE. 9(11). e110662–e110662. 11 indexed citations

17.

Gharaviri, Ali, Sander Verheule, Nico Kuijpers, & Ulrich Schotten. (2012). Mutual influence between dyssynchrony and transmural conduction maintains atrial fibrillation. Computing in Cardiology. 897–900. 1 indexed citations

18.

Gharaviri, Ali, Sander Verheule, Jens Eckstein, et al.. (2012). A computer model of endo-epicardial electrical dissociation and transmural conduction during atrial fibrillation. EP Europace. 14(suppl_5). v10–v16. 27 indexed citations

19.

Teshnehlab, Mohammad, et al.. (2009). Feature Extraction and Classification of EEG Signals Using Wavelet Transform, SVM and Artificial Neural Networks for Brain Computer Interfaces. 352–355. 42 indexed citations

20.

Gharaviri, Ali, Mohammad Teshnehlab, & Hamid Abrishami Moghaddam. (2008). Ischemia detection via ECG using ANFIS. PubMed. 601. 1163–1166. 13 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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