Jason D. Bayer

2.7k citations
50 papers · 1.9k indexed · 1 hit paper · h-index 22

Jason D. Bayer

47 papers receiving 1.9k citations

Hit Papers

A Novel Rule-Based Algorithm for Assigning Myocardial Fib...3792012202620162021100200300

Peers

Jason D. Bayer
Comparison fields: 5 of 117
  • Cardiology and Cardiovascular Medicine 1.5k
  • Cellular and Molecular Neuroscience 207
  • Radiology, Nuclear Medicine and Imaging 219
  • Health Informatics 8
  • Biomedical Engineering 215
Replace Gunnar Seemann with:
Gunnar Seemann Germany
Hermenegild Arevalo United States
Axel Loewe Germany
Martin J. Bishop United Kingdom
Caroline H. Roney United Kingdom
Fijoy Vadakkumpadan United States
Esther Pueyo Spain
Chris P. Bradley New Zealand
Mark L. Trew New Zealand
David E. Krummen United States
Jason D. Bayer relative to Gunnar Seemann Germany Gunnar Seemann's profile →
Citations per field
00.5×1.5×
Gunnar Seemann · 1×
Citations per year

Countries citing papers authored by Jason D. Bayer

Since Specialization
Citations

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

Fields of papers citing papers by Jason D. Bayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason D. Bayer. 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 Jason D. Bayer. The network helps show where Jason D. Bayer may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Jason D. Bayer, 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 Jason D. Bayer Line = papers co-authored together Jason D. Bayer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20224
4 20216
5 20215
6 202018
7 20190
8 201921
9 20182
10 201815
11 201831
12 201889
13 201628
14 20143
15 201463
16 201343
17 2013110
18 201224
19 200879
20 200515

About Jason D. Bayer

Jason D. Bayer is a scholar working on Cardiology and Cardiovascular Medicine, Computational Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 50 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (36 papers), Cardiac Arrhythmias and Treatments (19 papers), Atrial Fibrillation Management and Outcomes (12 papers), ECG Monitoring and Analysis (9 papers), Cardiac pacing and defibrillation studies (7 papers), Ion channel regulation and function (6 papers), Cardiovascular Function and Risk Factors (5 papers) and Cardiac Imaging and Diagnostics (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.5k citations), Cellular and Molecular Neuroscience (207 citations) and Radiology, Nuclear Medicine and Imaging (219 citations). Jason D. Bayer has collaborated with scholars based in France, United States and Austria. Frequent co-authors include Natalia A. Trayanova, Gernot Plank, Robert Blake, Edward J. Vigmond, Sanjiv M. Narayan, Caroline H. Roney, Gautam Lalani, Hubert Cochet, Pierre Jaı̈s and Ali Pashaei. Their work appears in journals such as Journal of the American College of Cardiology, PLoS ONE and The Journal of Physiology.

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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