Jeffrey M. Baerman

1.9k citations
45 papers · 1.5k indexed · h-index 23
Topics
Cardiac electrophysiology and arrhythmias (31 papers)Cardiac Arrhythmias and Treatments (29 papers)Atrial Fibrillation Management and Outcomes (12 papers)
Partner nations
United StatesPhilippines

In The Last Decade

Jeffrey M. Baerman

43 papers receiving 1.4k citations

Peers

Jeffrey M. Baerman
Comparison fields: 5 of 67
  • Cardiology and Cardiovascular Medicine 1.4k
  • Surgery 243
  • Molecular Biology 95
  • Radiology, Nuclear Medicine and Imaging 49
  • Cognitive Neuroscience 48
Replace Walter D. Berkowitz with:
Walter D. Berkowitz United States
Martin Fromer Switzerland
P Denes United States
Onkar S. Narula United States
Robert A. Bauernfeind United States
Ryszard B. Król United States
Michael de Buitleir United States
Ardeshir Farshidi United States
Soo G. Kim United States
Richard W. Henthorn United States
Jeffrey M. Baerman relative to Walter D. Berkowitz United States Walter D. Berkowitz's profile →
Citations per field
00.5×10×13×
Walter D. Berkowitz · 1×
Citations per year

Countries citing papers authored by Jeffrey M. Baerman

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey M. Baerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey M. Baerman. 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 Jeffrey M. Baerman. The network helps show where Jeffrey M. Baerman may publish in the future.

Co-authorship network of co-authors of Jeffrey M. Baerman

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey M. Baerman. A scholar is included among the top collaborators of Jeffrey M. Baerman 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 Jeffrey M. Baerman. Jeffrey M. Baerman 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
#WorkIndexed citations
1 1
2 48
3 9
4 16
5 4
6 10
7 26
8 6
9 36
10 22
11 2
12 105
13 37
14 20
15 76
16 25
17 12
18 70
19 11
20 28

About Jeffrey M. Baerman

Jeffrey M. Baerman is a scholar working on Cardiology and Cardiovascular Medicine, Signal Processing and Analytical Chemistry, having authored 45 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (31 papers), Cardiac Arrhythmias and Treatments (29 papers) and Atrial Fibrillation Management and Outcomes (12 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.4k citations), Surgery (243 citations) and Emergency Medicine (44 citations). Jeffrey M. Baerman has collaborated with scholars based in United States and Philippines. Frequent co-authors include Lorenzo A. DiCarlo, Michael de Buitleir, Fred Morady, Ryszard B. Król, Alan V. Sahakian, Steven Swiryn, K.M. Ropella, Fred Morady, John G. Kall and David J. Wilber. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and The American Journal of Cardiology.

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

Rankless by CCL
2026