S. Pavia

33 total papers · 1.3k total citations
16 papers, 861 citations indexed

About

S. Pavia is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Epidemiology. According to data from OpenAlex, S. Pavia has authored 16 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cardiology and Cardiovascular Medicine, 7 papers in Surgery and 1 paper in Epidemiology. Recurrent topics in S. Pavia's work include Cardiac Arrhythmias and Treatments (10 papers), Cardiac pacing and defibrillation studies (9 papers) and Atrial Fibrillation Management and Outcomes (4 papers). S. Pavia is often cited by papers focused on Cardiac Arrhythmias and Treatments (10 papers), Cardiac pacing and defibrillation studies (9 papers) and Atrial Fibrillation Management and Outcomes (4 papers). S. Pavia collaborates with scholars based in United States, Australia and Italy. S. Pavia's co-authors include Robert A. Schweikert, Patrick Tchou, Dianna Bash, Walid I. Saliba, Andrea Natale, Gery Tomassoni, Salwa Beheiry, Mark Niebauer, Logan Kanagaratnam and Eduardo Saad and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and The Medical Journal of Australia.

In The Last Decade

S. Pavia

16 papers receiving 822 citations

Author Peers

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

Author						Papers	Cites
S. Pavia	813	163	29	23	22	16	861
Walter K. Clair	742 0.9×	156 1.0×	43 1.5×	66 2.9×	12 0.5×	21	889
Luc De Roy	815 1.0×	216 1.3×	15 0.5×	34 1.5×	36 1.6×	33	919
Steven Zweibel	757 0.9×	105 0.6×	18 0.6×	13 0.6×	37 1.7×	23	804
Richard Leather	641 0.8×	213 1.3×	10 0.3×	16 0.7×	17 0.8×	29	756
FERNANDO MERA	842 1.0×	175 1.1×	35 1.2×	27 1.2×	41 1.9×	15	910
Jiaxiong Lin	883 1.1×	145 0.9×	9 0.3×	13 0.6×	12 0.5×	14	912
Liaqat Zaman	699 0.9×	139 0.9×	14 0.5×	72 3.1×	23 1.0×	42	831
Mark W. Preminger	868 1.1×	139 0.9×	15 0.5×	9 0.4×	37 1.7×	25	907
Justin Ghosh	660 0.8×	78 0.5×	48 1.7×	48 2.1×	20 0.9×	22	794
Imke Drewitz	941 1.2×	119 0.7×	10 0.3×	53 2.3×	21 1.0×	26	1.0k

Countries citing papers authored by S. Pavia

Since Specialization

Citations

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

Fields of papers citing papers by S. Pavia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Pavia

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