Jacques Beaumont

778 citations
22 papers · 588 · h-index 10

Impact in

Papers in

Jacques Beaumont

21 papers receiving 560 citations

Peers

Jacques Beaumont
Comparison fields: 5 of 76
  • Cardiology and Cardiovascular Medicine 473
  • Cellular and Molecular Neuroscience 82
  • Statistical and Nonlinear Physics 47
  • Molecular Biology 219
  • Computer Networks and Communications 61
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Citations per year

Countries citing papers authored by Jacques Beaumont

Since Specialization
Citations

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

Fields of papers citing papers by Jacques Beaumont

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001224
2 1998109
3 200088
4 199651
5 200515
6 199513
7 199412
8 200411
9 20139
10 19939
11 20179
12 19988
13 20066
14 19935
15 20064
16 20034
17
Estimate procedure of vehicle noise on road surfaces - French/German procedure
19903
18 19702
19 20142
20 20182

About Jacques Beaumont

Jacques Beaumont is a scholar working on Cardiology and Cardiovascular Medicine, Statistical and Nonlinear Physics, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Networks and Communications, having authored 22 papers that have together received 588 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (7 papers), stochastic dynamics and bifurcation (5 papers), Nonlinear Dynamics and Pattern Formation (4 papers), Neuroscience and Neural Engineering (3 papers), Cardiac Arrhythmias and Treatments (3 papers), Medical Imaging Techniques and Applications (3 papers), Electrochemical Analysis and Applications (3 papers) and Advanced MRI Techniques and Applications (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (473 citations), Cellular and Molecular Neuroscience (82 citations), Statistical and Nonlinear Physics (47 citations), Molecular Biology (219 citations) and Computer Networks and Communications (61 citations). Jacques Beaumont has collaborated with scholars based in United States, Canada and France. Frequent co-authors include José Jalife, Faramarz H. Samie, Jorge M. Davidenko, Nicolas Davidenko, Arkady M. Pertsov, Sharda Udassi, Justus Anumonwo, Omer Berenfeld, Steven M. Taffet and Sergey Mironov. Their work appears in journals such as Circulation Research, Mathematical Biosciences, Journal of Cardiovascular Electrophysiology, Microscopy and Microanalysis and Journal of Biomedical Optics.

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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