Jeffrey Froning

482 citations
19 papers · 295 indexed · h-index 9

Jeffrey Froning

16 papers receiving 270 citations

Peers

Jeffrey Froning
Comparison fields: 5 of 50
  • Cardiology and Cardiovascular Medicine 250
  • Complementary and alternative medicine 71
  • Radiology, Nuclear Medicine and Imaging 151
  • Orthopedics and Sports Medicine 8
  • Critical Care and Intensive Care Medicine 4
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Citations per year

Countries citing papers authored by Jeffrey Froning

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Froning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1 200633
2 20050
3 20032
4 20020
5 20019
6 1998126
7
Annals of Internal Medicine The Electrocardiographic Exercise Test in a Population with Reduced Workup Bias: Diagnostic Performance, Computerized Interpretation, and Multivariable Prediction
19988
8 199611
9 199319
10 199310
11 199232
12 19928
13
[Comparison of ST depression and various exercise test indices in the diagnosis of coronary stenosis].
19921
14 19925
15 19912
16 19886
17 198814
18 19880
19
Detection and measurement of the P-wave and T-wave during exercise testing using combined heuristic and statistical methods.
19879

About Jeffrey Froning

Jeffrey Froning is a scholar working on Cardiology and Cardiovascular Medicine, Complementary and alternative medicine and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 295 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (9 papers), Cardiac Imaging and Diagnostics (7 papers), Cardiovascular Effects of Exercise (5 papers), Cardiovascular and exercise physiology (4 papers), Heart Rate Variability and Autonomic Control (4 papers), Neural Networks and Applications (2 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Sensor Technology and Measurement Systems (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (250 citations), Complementary and alternative medicine (71 citations) and Radiology, Nuclear Medicine and Imaging (151 citations). Jeffrey Froning has collaborated with scholars based in United States, Hungary and Canada. Frequent co-authors include Victor F. Froelicher, Jonathan Myers, Kenneth G. Lehmann, Daniel Do, Douglas J. Morrison, R. L. Thomas, Robert Edson, C Dennis, Philip W. Lavori and Ralph Shabetai. Their work appears in journals such as Annals of Internal Medicine, 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.

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