Jorge E. Schliamser

1.1k total citations
30 papers, 767 citations indexed

About

Jorge E. Schliamser is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jorge E. Schliamser has authored 30 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cardiology and Cardiovascular Medicine, 6 papers in Surgery and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jorge E. Schliamser's work include Cardiac pacing and defibrillation studies (14 papers), Cardiac electrophysiology and arrhythmias (10 papers) and Cardiac Arrhythmias and Treatments (9 papers). Jorge E. Schliamser is often cited by papers focused on Cardiac pacing and defibrillation studies (14 papers), Cardiac electrophysiology and arrhythmias (10 papers) and Cardiac Arrhythmias and Treatments (9 papers). Jorge E. Schliamser collaborates with scholars based in Israel, United States and Japan. Jorge E. Schliamser's co-authors include Offer Amir, Moshe Y. Flugelman, David A. Halon, Basil S. Lewis, Nathan Peled, Ronen Rubinshtein, Tamar Gaspar, Salim Adawi, Jeffrey J. Goldberger and Jean Marc Weinstein and has published in prestigious journals such as Journal of the American College of Cardiology, The American Journal of Cardiology and American Journal of Physiology-Heart and Circulatory Physiology.

In The Last Decade

Jorge E. Schliamser

28 papers receiving 749 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jorge E. Schliamser Israel 13 458 184 124 124 89 30 767
Tim Sueselbeck Germany 17 623 1.4× 317 1.7× 275 2.2× 86 0.7× 46 0.5× 30 881
Rienk Rienks Netherlands 15 406 0.9× 206 1.1× 117 0.9× 60 0.5× 33 0.4× 51 700
B. E. Strauer Germany 17 489 1.1× 144 0.8× 142 1.1× 69 0.6× 75 0.8× 83 775
Markku Linnaluoto Finland 12 535 1.2× 104 0.6× 115 0.9× 62 0.5× 22 0.2× 28 670
Hajnalka Vágó Hungary 19 654 1.4× 236 1.3× 102 0.8× 50 0.4× 83 0.9× 131 884
Manfred Nelles Germany 16 410 0.9× 23 0.1× 59 0.5× 25 0.2× 67 0.8× 25 606
A Travaglini United States 9 530 1.2× 258 1.4× 118 1.0× 99 0.8× 16 0.2× 16 636
Roberta Assante Italy 19 398 0.9× 674 3.7× 203 1.6× 218 1.8× 34 0.4× 82 969
Jaime Figueras Spain 16 553 1.2× 204 1.1× 206 1.7× 49 0.4× 43 0.5× 42 772

Countries citing papers authored by Jorge E. Schliamser

Since Specialization
Citations

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

Fields of papers citing papers by Jorge E. Schliamser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge E. Schliamser. 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 Jorge E. Schliamser. The network helps show where Jorge E. Schliamser may publish in the future.

Co-authorship network of co-authors of Jorge E. Schliamser

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge E. Schliamser. A scholar is included among the top collaborators of Jorge E. Schliamser 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 Jorge E. Schliamser. Jorge E. Schliamser 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.
Tsutsui, Kenta, et al.. (2025). Clinically meaningful interpretability of an AI model for ECG classification. npj Digital Medicine. 8(1). 109–109. 5 indexed citations
2.
3.
Schliamser, Jorge E., et al.. (2025). Can ChatGPT accurately detect atrial fibrillation using smartwatch ECG?. Heart & Lung. 73. 90–94. 2 indexed citations
4.
Karkabi, Basheer, Barak Zafrir, Ronen Jaffe, et al.. (2020). Causes of mortality in a department of cardiology over a 15-year period. IJC Heart & Vasculature. 32. 100692–100692. 1 indexed citations
5.
Danon, Asaf, et al.. (2019). Cardioversion of pre-excited atrial fibrillation leading to ventricular fibrillation- case report and review of literature. The American Journal of Emergency Medicine. 37(8). 1539–1543. 3 indexed citations
6.
Saliba, Walid, Jorge E. Schliamser, Idit Lavi, et al.. (2017). Catheter ablation of atrial fibrillation is associated with reduced risk of stroke and mortality: A propensity score–matched analysis. Heart Rhythm. 14(5). 635–642. 55 indexed citations
7.
Amir, Offer, Tuvia Ben‐Gal, Jean Marc Weinstein, et al.. (2017). Evaluation of remote dielectric sensing (ReDS) technology-guided therapy for decreasing heart failure re-hospitalizations. International Journal of Cardiology. 240. 279–284. 99 indexed citations
8.
Schliamser, Jorge E., et al.. (2015). Contemporary evaluation of the causes of cardiac tamponade: Acute and long-term outcomes. Cardiology Journal. 23(1). 57–63. 16 indexed citations
9.
Danon, Asaf, et al.. (2014). Programmed electrical stimulation for risk stratification of patients with ischemic cardiomyopathy. Journal of Arrhythmia. 31(3). 147–151. 2 indexed citations
10.
Arnson, Yoav, Mahmoud Suleiman, Michael Glikson, et al.. (2014). Role of defibrillation threshold testing during implantable cardioverter-defibrillator placement: Data from the Israeli ICD Registry. Heart Rhythm. 11(5). 814–821. 10 indexed citations
11.
Goren, Yaron, Eti Meiri, Christopher J. Hogan, et al.. (2013). Relation of Reduced Expression of MiR-150 in Platelets to Atrial Fibrillation in Patients With Chronic Systolic Heart Failure. The American Journal of Cardiology. 113(6). 976–981. 88 indexed citations
12.
13.
Schliamser, Jorge E., Alan H. Kadish, Haris Subačius, et al.. (2013). Significance of follow-up left ventricular ejection fraction measurements in the Defibrillators in Non-Ischemic Cardiomyopathy Treatment Evaluation trial (DEFINITE). Heart Rhythm. 10(6). 838–846. 59 indexed citations
14.
15.
Amir, Offer, et al.. (2007). Ineffectiveness of Precordial Thump for Cardioversion of Malignant Ventricular Tachyarrhythmias. Pacing and Clinical Electrophysiology. 30(2). 153–156. 29 indexed citations
16.
Rubinshtein, Ronen, David A. Halon, Tamar Gaspar, et al.. (2007). Usefulness of 64-Slice Multidetector Computed Tomography in Diagnostic Triage of Patients With Chest Pain and Negative or Nondiagnostic Exercise Treadmill Test Result. The American Journal of Cardiology. 99(7). 925–929. 37 indexed citations
17.
Zittan, Eran, Meir Preis, David A. Halon, et al.. (2007). High frequency of vitamin B12 deficiency in asymptomatic individuals homozygous to MTHFR C677T mutation is associated with endothelial dysfunction and homocysteinemia. American Journal of Physiology-Heart and Circulatory Physiology. 293(1). H860–H865. 20 indexed citations
18.
19.
Gaspar, Tamar, David A. Halon, Basil S. Lewis, et al.. (2005). Diagnosis of Coronary In-Stent Restenosis With Multidetector Row Spiral Computed Tomography. Journal of the American College of Cardiology. 46(8). 1573–1579. 116 indexed citations
20.
Schliamser, Jorge E., et al.. (2002). Rhabdomyolysis Induced by Repeated Internal Cardioverter Defibrillator Discharges. Pacing and Clinical Electrophysiology. 25(4). 516–517. 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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