Brian Zenger

645 citations
64 papers · 422 · h-index 12

Impact in

Papers in

Brian Zenger

60 papers receiving 418 citations

Peers

Brian Zenger
Comparison fields: 5 of 60
  • Cardiology and Cardiovascular Medicine 301
  • Radiology, Nuclear Medicine and Imaging 56
  • Cognitive Neuroscience 44
  • Statistics, Probability and Uncertainty 10
  • Cellular and Molecular Neuroscience 16
Replace Brett Burton with:
Brett Burton United States
Jake Bergquist United States
Laura Bear France
Matthijs Cluitmans Netherlands
Steffen Schuler Germany
Walther H. W. Schulze Germany
Thomas Grandits Austria
Subham Ghosh United States
Michael Seger Austria
Jonas L. Isaksen Denmark
Brian Zenger relative to Brett Burton United States Brett Burton's profile →
Citations per field
00.5×5.4×
Brett Burton · 1×
Citations per year

Countries citing papers authored by Brian Zenger

Since Specialization
Citations

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

Fields of papers citing papers by Brian Zenger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Brian Zenger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Brian Zenger Line = papers co-authored together Brian Zenger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201835
2 202129
3 202123
4 201923
5 202318
6 201917
7 202116
8 201816
9 202116
10 201915
11 201813
12 201812
13 202210
14 202310
15 20189
16 20189
17 20208
18 20207
19 20207
20 20227

About Brian Zenger

Brian Zenger is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 64 papers that have together received 422 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (32 papers), ECG Monitoring and Analysis (14 papers), Atrial Fibrillation Management and Outcomes (13 papers), Cardiovascular Function and Risk Factors (8 papers), Cardiac Arrhythmias and Treatments (7 papers), Cardiac Imaging and Diagnostics (5 papers), EEG and Brain-Computer Interfaces (4 papers) and Medical Image Segmentation Techniques (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (301 citations), Radiology, Nuclear Medicine and Imaging (56 citations), Cognitive Neuroscience (44 citations), Statistics, Probability and Uncertainty (10 citations) and Cellular and Molecular Neuroscience (16 citations). Brian Zenger has collaborated with scholars based in United States, Austria and Zimbabwe. Frequent co-authors include Rob MacLeod, Wilson Good, Jake Bergquist, Jess Tate, Brett Burton, Benjamin A. Steinberg, Ravi Ranjan, Kedar Aras, Dana H. Brooks and T. Jared Bunch. Their work appears in journals such as Frontiers in Physiology, Journal of Cardiovascular Electrophysiology, Computers in Biology and Medicine, Arrhythmia & Electrophysiology Review and Physiological Measurement.

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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