Robert Arzbaecher

2.8k total citations · 1 hit paper
62 papers, 2.0k citations indexed

About

Robert Arzbaecher is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Cognitive Neuroscience. According to data from OpenAlex, Robert Arzbaecher has authored 62 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Cardiology and Cardiovascular Medicine, 9 papers in Surgery and 4 papers in Cognitive Neuroscience. Recurrent topics in Robert Arzbaecher's work include ECG Monitoring and Analysis (36 papers), Cardiac Arrhythmias and Treatments (30 papers) and Cardiac electrophysiology and arrhythmias (30 papers). Robert Arzbaecher is often cited by papers focused on ECG Monitoring and Analysis (36 papers), Cardiac Arrhythmias and Treatments (30 papers) and Cardiac electrophysiology and arrhythmias (30 papers). Robert Arzbaecher collaborates with scholars based in United States, Australia and Netherlands. Robert Arzbaecher's co-authors include G. E. FREUD, D Durrer, F.L. Meijler, Michiel J. Janse, R. Th. van Dam, Daniel A. Brody, Thomas Bump, Janice M. Jenkins, J.M. Jenkins and D Wu and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Proceedings of the IEEE.

In The Last Decade

Robert Arzbaecher

55 papers receiving 1.8k citations

Hit Papers

Total Excitation of the Isolated Human Heart 1970 2026 1988 2007 1970 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Arzbaecher United States 15 1.7k 251 181 173 141 62 2.0k
R. Th. van Dam Netherlands 14 1.8k 1.0× 272 1.1× 129 0.7× 152 0.9× 240 1.7× 20 2.0k
F.L. Meijler Netherlands 23 2.8k 1.6× 401 1.6× 173 1.0× 227 1.3× 386 2.7× 103 3.2k
Michael B. Simson United States 25 3.3k 1.9× 308 1.2× 178 1.0× 299 1.7× 238 1.7× 51 3.6k
G. E. FREUD Netherlands 7 1.3k 0.8× 239 1.0× 108 0.6× 139 0.8× 159 1.1× 9 1.5k
J.G. Stinstra United States 21 687 0.4× 148 0.6× 205 1.1× 77 0.4× 98 0.7× 51 1.1k
Daniel A. Brody United States 22 1.5k 0.8× 316 1.3× 222 1.2× 176 1.0× 67 0.5× 93 2.1k
Leo G. Horan United States 26 2.3k 1.3× 630 2.5× 321 1.8× 232 1.3× 131 0.9× 91 2.8k
Eli S. Gang United States 24 1.6k 0.9× 147 0.6× 161 0.9× 333 1.9× 107 0.8× 77 1.8k
Felipe Atienza Spain 30 2.9k 1.7× 260 1.0× 84 0.5× 152 0.9× 261 1.9× 134 3.2k
Charles D. Swerdlow United States 40 4.5k 2.6× 167 0.7× 161 0.9× 399 2.3× 419 3.0× 151 4.8k

Countries citing papers authored by Robert Arzbaecher

Since Specialization
Citations

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

Fields of papers citing papers by Robert Arzbaecher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Arzbaecher

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Arzbaecher. A scholar is included among the top collaborators of Robert Arzbaecher 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 Robert Arzbaecher. Robert Arzbaecher 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.
Arzbaecher, Robert, et al.. (2010). Subcutaneous electrocardiogram monitors and their field of view. Journal of Electrocardiology. 43(6). 601–605. 12 indexed citations
2.
Arzbaecher, Robert, et al.. (2006). Database testing of a subcutaneous monitor with wireless alarm. Journal of Electrocardiology. 39(4). S50–S53. 11 indexed citations
3.
Jenkins, Janice M., et al.. (2004). The feasibility of ST-segment monitoring with a subcutaneous device. Journal of Electrocardiology. 37. 174–179. 7 indexed citations
4.
Burke, Martin C., et al.. (2003). Analysis of electrocardiograms for subcutaneous monitors. Journal of Electrocardiology. 36. 227–232. 6 indexed citations
5.
Arzbaecher, Robert & Janice M. Jenkins. (2002). A review of the theoretical and experimental bases of transesophageal atrial pacing. Journal of Electrocardiology. 35(4). 137–141. 11 indexed citations
6.
McDaniel, Wayne, et al.. (2002). Test of a new reduced-current biphasic waveform in transthoracic defibrillation of canines. Journal of the American College of Cardiology. 39. 120–120.
8.
Arzbaecher, Robert, et al.. (1998). Rapid Drug Infusion for Termination of Atrial Fibrillation in an Experimental Model. Pacing and Clinical Electrophysiology. 21(1). 288–291. 2 indexed citations
9.
Laks, Michael M., Robert Arzbaecher, James J. Bailey, David B. Geselowitz, & Alan S. Berson. (1996). Recommendations for Safe Current Limits for Electrocardiographs. Circulation. 93(4). 837–839. 25 indexed citations
10.
Weil, Vivian & Robert Arzbaecher. (1995). Ethics and Relationships in Laboratories and Research Communities. PubMed. 4(3). 83–125. 5 indexed citations
11.
Arzbaecher, Robert, et al.. (1994). Sensitivity and specificity of a dual-chamber arrhythmia recognition algorithm for implantable devices. Journal of Electrocardiology. 27. 78–83. 4 indexed citations
12.
Throne, R.D., D.J. Wilber, Brian Olshansky, Bradford Blakeman, & Robert Arzbaecher. (1993). Autoregressive modeling of epicardial electrograms during ventricular fibrillation. IEEE Transactions on Biomedical Engineering. 40(4). 379–386. 5 indexed citations
13.
Arzbaecher, Robert, et al.. (1992). Validation of an adaptive software trigger and arrhythmia diagnostic algorithm. Journal of Electrocardiology. 25. 173–177. 4 indexed citations
14.
Jadvar, Hossein, J.M. Jenkins, Richard E. Stewart, Markus Schwaiger, & Robert Arzbaecher. (1991). Computer analysis of the electrocardiogram during esophageal pacing cardiac stress. IEEE Transactions on Biomedical Engineering. 38(11). 1089–1099. 5 indexed citations
15.
Jadvar, Hossein, Janice M. Jenkins, & Robert Arzbaecher. (1990). A system for simultaneous esophageal atrial pacing and ventricular recording in computer analysis of posterior ischemia. Journal of Electrocardiology. 22. 248–252. 2 indexed citations
16.
Bump, Thomas, et al.. (1989). The effect of drugs and lead maturation on atrial electrograms during sinus rhythm and atrial fibrillation. American Heart Journal. 117(3). 577–584. 7 indexed citations
17.
Jenkins, Janice M., et al.. (1988). Diagnosis of Atrial Fibrillation Using Electrograms from Chronic Leads: Evaluation of Computer Algorithms. Pacing and Clinical Electrophysiology. 11(5). 622–631. 55 indexed citations
18.
Rautaharju, Pentti M., Mario Ariet, T. Allan Pryor, et al.. (1978). Task force III: Computers in diagnostic electrocardiography. The American Journal of Cardiology. 41(1). 158–170. 33 indexed citations
19.
Teague, Stephen V., et al.. (1976). A quantitative description of normal AV nodal conduction curve in man. Journal of Applied Physiology. 40(1). 74–78. 31 indexed citations
20.
Brody, Daniel A., et al.. (1964). A Comparative Analysis of Several Corrected Vectorcardiographic Leads. Circulation. 29(4). 533–545. 46 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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