Zvi Friedman

47 total papers · 2.2k total citations
36 papers, 1.7k citations indexed

About

Zvi Friedman is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zvi Friedman has authored 36 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Cardiology and Cardiovascular Medicine and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zvi Friedman's work include Cardiovascular Function and Risk Factors (18 papers), Cardiac Imaging and Diagnostics (16 papers) and Ultrasound Imaging and Elastography (14 papers). Zvi Friedman is often cited by papers focused on Cardiovascular Function and Risk Factors (18 papers), Cardiac Imaging and Diagnostics (16 papers) and Ultrasound Imaging and Elastography (14 papers). Zvi Friedman collaborates with scholars based in Israel, Germany and United States. Zvi Friedman's co-authors include Peter Lysyansky, Yoram Agmon, Diab Mutlak, Shimon A. Reisner, Jonathan Lessick, Yonina C. Eldar, Dan Adam, Vera Behar, Marina Leitman and Rainer Hoffmann and has published in prestigious journals such as IEEE Transactions on Signal Processing, The American Journal of Cardiology and Heart.

In The Last Decade

Zvi Friedman

35 papers receiving 1.7k citations

Hit Papers

Global longitudinal strai... 2004 2026 2011 2018 2004 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Zvi Friedman 1.2k 965 265 255 184 36 1.7k
Haim Azhari 521 0.4× 944 1.0× 220 0.8× 801 3.1× 74 0.4× 94 2.0k
Dan Adam 914 0.8× 812 0.8× 266 1.0× 614 2.4× 36 0.2× 79 1.9k
Philippe Moireau 939 0.8× 360 0.4× 290 1.1× 584 2.3× 183 1.0× 68 1.7k
Carl Olsson 811 0.7× 252 0.3× 423 1.6× 120 0.5× 172 0.9× 58 1.9k
Jack Lee 941 0.8× 762 0.8× 414 1.6× 632 2.5× 141 0.8× 85 2.2k
A. Herment 617 0.5× 978 1.0× 182 0.7× 457 1.8× 31 0.2× 96 1.7k
Mathieu De Craene 782 0.7× 849 0.9× 152 0.6× 350 1.4× 78 0.4× 83 1.6k
Edward A. Geiser 723 0.6× 665 0.7× 465 1.8× 260 1.0× 92 0.5× 64 2.0k
Hao Gao 1.0k 0.9× 486 0.5× 465 1.8× 941 3.7× 211 1.1× 130 2.0k
T. Loupas 430 0.4× 1.4k 1.4× 199 0.8× 1.0k 4.1× 43 0.2× 39 2.3k

Countries citing papers authored by Zvi Friedman

Since Specialization
Citations

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

Fields of papers citing papers by Zvi Friedman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zvi Friedman

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