Vasilis Voudris

31 total papers · 3.1k total citations
18 papers, 696 citations indexed

About

Vasilis Voudris is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Vasilis Voudris has authored 18 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 12 papers in Cardiology and Cardiovascular Medicine and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Vasilis Voudris's work include Coronary Interventions and Diagnostics (9 papers), Cardiac Imaging and Diagnostics (8 papers) and Cardiac Valve Diseases and Treatments (4 papers). Vasilis Voudris is often cited by papers focused on Coronary Interventions and Diagnostics (9 papers), Cardiac Imaging and Diagnostics (8 papers) and Cardiac Valve Diseases and Treatments (4 papers). Vasilis Voudris collaborates with scholars based in Greece, France and Israel. Vasilis Voudris's co-authors include Gregory Pavlides, Eric Boersma, Patrick W. Serruys, Jan J. Piek, Peter Probst, Bernard De Bruyne, Athanassios Manginas, Dennis V. Cokkinos, Athanasios Dritsas and Manolis S. Kallistratos and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and The American Journal of Cardiology.

In The Last Decade

Vasilis Voudris

18 papers receiving 676 citations

Author Peers

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

Author						Papers	Cites
Vasilis Voudris	541	452	373	105	82	18	696
D O Williams	588 1.1×	352 0.8×	178 0.5×	68 0.6×	60 0.7×	12	730
Dennis Battock	393 0.7×	197 0.4×	146 0.4×	116 1.1×	43 0.5×	19	603
Salvatore Di Giorgi	501 0.9×	149 0.3×	276 0.7×	99 0.9×	95 1.2×	15	699
D. Mathey	596 1.1×	303 0.7×	270 0.7×	111 1.1×	21 0.3×	24	732
Eva M. Staal	575 1.1×	145 0.3×	233 0.6×	95 0.9×	92 1.1×	18	648
Kenji Shiino	620 1.1×	162 0.4×	330 0.9×	87 0.8×	39 0.5×	25	720
R D Burow	516 1.0×	196 0.4×	511 1.4×	38 0.4×	62 0.8×	10	735
Michele Nanna	422 0.8×	260 0.6×	162 0.4×	85 0.8×	41 0.5×	32	611
Nicholas A. Ruocco	587 1.1×	411 0.9×	318 0.9×	104 1.0×	14 0.2×	28	768
M T Upton	655 1.2×	111 0.2×	433 1.2×	62 0.6×	109 1.3×	13	779

Countries citing papers authored by Vasilis Voudris

Since Specialization

Citations

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

Fields of papers citing papers by Vasilis Voudris

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vasilis Voudris

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