Shmuel Ravid

37 total papers · 1.2k total citations
24 papers, 970 citations indexed

About

Shmuel Ravid is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Shmuel Ravid has authored 24 papers receiving a total of 970 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 6 papers in Surgery and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Shmuel Ravid's work include Cardiac electrophysiology and arrhythmias (5 papers), Acute Myocardial Infarction Research (5 papers) and Cardiac Arrhythmias and Treatments (5 papers). Shmuel Ravid is often cited by papers focused on Cardiac electrophysiology and arrhythmias (5 papers), Acute Myocardial Infarction Research (5 papers) and Cardiac Arrhythmias and Treatments (5 papers). Shmuel Ravid collaborates with scholars based in United States, Lebanon and Israel. Shmuel Ravid's co-authors include Yinong Young‐Xu, Samer Jabbour, Thomas B. Graboys, Charles M. Blatt, Robert J. Goldberg, Brian Bilchik, Bernard Lown, Susanna E. Bedell, Helme Silvet and Robert A. Goldberg and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and The American Journal of Cardiology.

In The Last Decade

Shmuel Ravid

23 papers receiving 917 citations

Author Peers

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

Author Last Decade Papers Cites
Shmuel Ravid 636 182 167 89 85 24 970
Robin Mathews 624 1.0× 154 0.8× 82 0.5× 87 1.0× 104 1.2× 31 979
Joseph P. Frolkis 458 0.7× 147 0.8× 80 0.5× 36 0.4× 200 2.4× 28 1.1k
Sotiris Antoniou 583 0.9× 84 0.5× 104 0.6× 48 0.5× 84 1.0× 67 915
Lawrence Liao 823 1.3× 224 1.2× 45 0.3× 122 1.4× 81 1.0× 33 1.2k
Michael Bullano 251 0.4× 279 1.5× 76 0.5× 34 0.4× 251 3.0× 37 884
Miren I Jones 671 1.1× 131 0.7× 83 0.5× 20 0.2× 150 1.8× 22 1.1k
Philippe Cestac 270 0.4× 61 0.3× 293 1.8× 22 0.2× 131 1.5× 60 857
Paul Smits 187 0.3× 89 0.5× 101 0.6× 59 0.7× 25 0.3× 40 1.0k
Heidi S. Wirtz 400 0.6× 195 1.1× 70 0.4× 22 0.2× 96 1.1× 42 985
Jordan B. King 782 1.2× 222 1.2× 59 0.4× 97 1.1× 176 2.1× 72 1.2k

Countries citing papers authored by Shmuel Ravid

Since Specialization
Citations

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

Fields of papers citing papers by Shmuel Ravid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shmuel Ravid

This figure shows the co-authorship network connecting the top 25 collaborators of Shmuel Ravid. A scholar is included among the top collaborators of Shmuel Ravid 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 Shmuel Ravid. Shmuel Ravid 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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