Jeffrey A. Matos

34 total papers · 1.3k total citations
30 papers, 1.0k citations indexed

About

Jeffrey A. Matos is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Biomedical Engineering. According to data from OpenAlex, Jeffrey A. Matos has authored 30 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cardiology and Cardiovascular Medicine, 2 papers in Surgery and 2 papers in Biomedical Engineering. Recurrent topics in Jeffrey A. Matos's work include Cardiac Arrhythmias and Treatments (27 papers), Cardiac pacing and defibrillation studies (23 papers) and Cardiac electrophysiology and arrhythmias (17 papers). Jeffrey A. Matos is often cited by papers focused on Cardiac Arrhythmias and Treatments (27 papers), Cardiac pacing and defibrillation studies (23 papers) and Cardiac electrophysiology and arrhythmias (17 papers). Jeffrey A. Matos collaborates with scholars based in United States and United Kingdom. Jeffrey A. Matos's co-authors include John D. Fisher, Soo G. Kim, Lawrence E. Waspe, Seymour Furman, Richard Brodman, Sam L. Teichman, Donald C. Wallerson, Debra R. Johnston, Aileen M. Ferrick and James G. Porterfield and has published in prestigious journals such as Annals of Internal Medicine, Journal of the American College of Cardiology and Medicine & Science in Sports & Exercise.

In The Last Decade

Jeffrey A. Matos

30 papers receiving 971 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jeffrey A. Matos 980 192 30 25 24 30 1.0k
George J. Klein 988 1.0× 298 1.6× 24 0.8× 28 1.1× 37 1.5× 38 1.1k
Christelle Marquié 902 0.9× 207 1.1× 22 0.7× 51 2.0× 49 2.0× 55 980
D. E. Ward 729 0.7× 143 0.7× 21 0.7× 14 0.6× 41 1.7× 47 810
Roger P. Javier 878 0.9× 282 1.5× 18 0.6× 20 0.8× 36 1.5× 27 1.0k
Ruben Chuquimia 1.1k 1.1× 367 1.9× 43 1.4× 46 1.8× 19 0.8× 22 1.2k
Howard Frumin 970 1.0× 296 1.5× 48 1.6× 15 0.6× 55 2.3× 25 1.1k
LON W. CASTLE 1.2k 1.2× 443 2.3× 30 1.0× 27 1.1× 20 0.8× 47 1.2k
Parwis Fotuhi 781 0.8× 97 0.5× 47 1.6× 35 1.4× 41 1.7× 34 903
GRIFFITH EVANS 740 0.8× 155 0.8× 30 1.0× 46 1.8× 21 0.9× 27 807
Keith H. Newby 1.1k 1.1× 243 1.3× 41 1.4× 14 0.6× 13 0.5× 32 1.1k

Countries citing papers authored by Jeffrey A. Matos

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey A. Matos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey A. Matos

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey A. Matos. A scholar is included among the top collaborators of Jeffrey A. Matos 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 A. Matos. Jeffrey A. Matos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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