Rod Passman

542 total citations
24 papers, 363 citations indexed

About

Rod Passman is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Rod Passman has authored 24 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cardiology and Cardiovascular Medicine, 5 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Surgery. Recurrent topics in Rod Passman's work include Cardiac Arrhythmias and Treatments (11 papers), Atrial Fibrillation Management and Outcomes (11 papers) and Cardiac electrophysiology and arrhythmias (7 papers). Rod Passman 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 (7 papers). Rod Passman collaborates with scholars based in United States and Switzerland. Rod Passman's co-authors include Jeffrey J. Goldberger, Alan H. Kadish, Bradley P. Knight, Christopher A. Groh, Behzad B. Pavri, Stephen Kimmel, John F. Beshai, Albert Lin, Andrew J. Sauer and Sanjiv J. Shah and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and The American Journal of Cardiology.

In The Last Decade

Rod Passman

20 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rod Passman United States 9 332 63 28 22 14 24 363
Luca Tomasi Italy 9 203 0.6× 28 0.4× 40 1.4× 20 0.9× 9 0.6× 50 241
Hyung Oh Choi South Korea 8 218 0.7× 61 1.0× 49 1.8× 19 0.9× 5 0.4× 31 253
Emmanuel Koutalas Germany 14 367 1.1× 71 1.1× 27 1.0× 13 0.6× 16 1.1× 27 386
Gaetano Pinnacchio Italy 11 245 0.7× 66 1.0× 55 2.0× 33 1.5× 5 0.4× 45 285
Paolo Pieragnoli Italy 13 563 1.7× 29 0.5× 26 0.9× 13 0.6× 33 2.4× 41 595
Stefan Asbach Germany 11 269 0.8× 54 0.9× 34 1.2× 10 0.5× 7 0.5× 34 316
Guram Imnadze Germany 10 282 0.8× 25 0.4× 39 1.4× 9 0.4× 16 1.1× 67 315
Paul Angaran Canada 12 387 1.2× 24 0.4× 31 1.1× 46 2.1× 12 0.9× 32 427
Mustapha El Hamriti Germany 10 390 1.2× 34 0.5× 34 1.2× 13 0.6× 16 1.1× 52 424
K Venkatachalam United States 11 485 1.5× 27 0.4× 56 2.0× 15 0.7× 18 1.3× 27 543

Countries citing papers authored by Rod Passman

Since Specialization
Citations

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

Fields of papers citing papers by Rod Passman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rod Passman

This figure shows the co-authorship network connecting the top 25 collaborators of Rod Passman. A scholar is included among the top collaborators of Rod Passman 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 Rod Passman. Rod Passman 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.
Berhane, Haben, Rod Passman, Daniel Lee, et al.. (2025). Deep learning based automated left atrial segmentation and flow quantification of real time phase contrast MRI in patients with atrial fibrillation. The International Journal of Cardiovascular Imaging. 41(6). 1197–1208.
2.
3.
Pradella, Maurice, Liliana Ma, Julia J. Hwang, et al.. (2023). RR-Resolved 5D flow for Decoding the Impact of Cardiac Rhythm on Left Atrial Flow Dynamics in Atrial Fibrillation and Stroke. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 1 indexed citations
4.
Yoo, Shin, Markus Rottmann, Jason Ng, et al.. (2022). Regions of Highly Recurrent Electrogram Morphology With Low Cycle Length Reflect Substrate for Atrial Fibrillation. JACC Basic to Translational Science. 8(1). 68–84. 5 indexed citations
5.
Passman, Rod, et al.. (2021). SOCIAL SCIENCE ORAL ABSTRACTS. Contraception. 103(5). 374–374. 2 indexed citations
6.
7.
Baman, Jayson R., Rachel M. Kaplan, Graham Peigh, et al.. (2019). CHARACTERIZATION OF ATRIAL FLUTTER AFTER PULMONARY VEIN ISOLATION BY CRYOBALLOON ABLATION. Journal of the American College of Cardiology. 73(9). 327–327. 2 indexed citations
8.
Kaplan, Rachel M., Rod Passman, Bradley P. Knight, et al.. (2017). TCT-555 Post-Balloon Dilation Following TAVR Implantation Increases Pacemaker Dependency. Journal of the American College of Cardiology. 70(18). B230–B230.
9.
Passman, Rod. (2017). Monitoring for AF: Identifying the Burden of Atrial Fibrillation and Assessing Post-Ablation. Journal of Innovations in Cardiac Rhythm Management. 8(1). 2575–2582. 5 indexed citations
10.
Tomson, Todd T. & Rod Passman. (2016). Current and Emerging Uses of Insertable Cardiac Monitors. Cardiology in Review. 25(1). 22–29. 14 indexed citations
11.
Sauer, Andrew J., Rachel M. Kaplan, Joel Xue, et al.. (2014). Electrocardiographic Markers of Repolarization Heterogeneity During Dofetilide or Sotalol Initiation for Paroxysmal Atrial Fibrillation. The American Journal of Cardiology. 113(12). 2030–2035. 4 indexed citations
12.
Groh, Christopher A., et al.. (2014). Safety of Short-Term Use of Dabigatran or Rivaroxaban for Direct-Current Cardioversion in Patients With Atrial Fibrillation and Atrial Flutter. The American Journal of Cardiology. 113(8). 1362–1363. 34 indexed citations
13.
Lee, Richard, Jane Kruse, Edwin C. McGee, et al.. (2012). Late Neurologic Events After Surgery for Atrial Fibrillation: Rare but Relevant. The Annals of Thoracic Surgery. 95(1). 126–132. 24 indexed citations
14.
Shen, Sharon, Prashant D. Bhave, Taral Patel, et al.. (2012). Prevalence and Predictors of Cable Extrusion and Loss of Electrical Integrity with the Riata Defibrillator Lead. Journal of Cardiovascular Electrophysiology. 23(11). 1207–1212. 32 indexed citations
15.
Passman, Rod, et al.. (2012). Incidence of Tissue Coring During Transseptal Catheterization When Using Electrocautery and a Standard Transseptal Needle. Circulation Arrhythmia and Electrophysiology. 5(2). 341–344. 24 indexed citations
16.
Murdock, David K., Rod Passman, Haris Subačius, & Ronald H. Miles. (2011). RANOLAZINE VERSES AMIODARONE FOR ATRIAL FIBRILLATION PROPHYLAXIS FOLLOWING CORONARY BYPASS SURGERY. Journal of the American College of Cardiology. 57(14). E155–E155. 4 indexed citations
17.
Amar, David, Hao Zhang, Charles W. Hogue, et al.. (2004). 1079-81 Preoperative risk factors for post-coronary artery bypass graft atrial fibrillation. Journal of the American College of Cardiology. 43(5). A272–A272. 1 indexed citations
18.
Bello, David, David S. Fieno, Gina Song, et al.. (2003). Infact morphology identifies patients with substrate for ventricular tachycardia. Journal of the American College of Cardiology. 41(6). 86–86. 1 indexed citations
19.
Passman, Rod, et al.. (2001). Effects of Sex and Age on Electrocardiographic and Cardiac Electrophysiological Properties in Adults. Pacing and Clinical Electrophysiology. 24(1). 16–21. 103 indexed citations
20.
Passman, Rod, John F. Beshai, Behzad B. Pavri, & Stephen Kimmel. (2001). Predicting post–coronary bypass surgery atrial arrhythmias from the preoperative electrocardiogram. American Heart Journal. 142(5). 806–810. 36 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Luca Tomasi Breakdown of academic impact, for papers by Hyung Oh Choi Breakdown of academic impact, for papers by Emmanuel Koutalas Breakdown of academic impact, for papers by Gaetano Pinnacchio Breakdown of academic impact, for papers by Paolo Pieragnoli Breakdown of academic impact, for papers by Stefan Asbach Breakdown of academic impact, for papers by Guram Imnadze Breakdown of academic impact, for papers by Paul Angaran Breakdown of academic impact, for papers by Mustapha El Hamriti Breakdown of academic impact, for papers by K Venkatachalam
Rankless by CCL
2026