Fred S. Azar

39 total papers · 1.3k total citations
25 papers, 1.0k citations indexed

About

Fred S. Azar is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Fred S. Azar has authored 25 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Biomedical Engineering and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Fred S. Azar's work include Medical Imaging Techniques and Applications (7 papers), Optical Imaging and Spectroscopy Techniques (6 papers) and Ultrasound Imaging and Elastography (5 papers). Fred S. Azar is often cited by papers focused on Medical Imaging Techniques and Applications (7 papers), Optical Imaging and Spectroscopy Techniques (6 papers) and Ultrasound Imaging and Elastography (5 papers). Fred S. Azar collaborates with scholars based in United States, Germany and Russia. Fred S. Azar's co-authors include Dimitris Metaxas, Mitchell D. Schnall, Ali Khamene, Susan L. Troyan, Rafiou Oketokoun, Vida Kianzad, John V. Frangioni, Summer L. Gibbs‐Strauss, Sylvain Gioux and Aya Matsui and has published in prestigious journals such as Journal of Clinical Oncology, Medical Physics and Annals of Surgical Oncology.

In The Last Decade

Fred S. Azar

24 papers receiving 968 citations

Hit Papers

The FLARE™ Intraoperative... 2009 2026 2014 2020 2009 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Fred S. Azar 570 360 192 191 114 25 1.0k
Dimitris Gorpas 476 0.8× 339 0.9× 176 0.9× 237 1.2× 55 0.5× 61 974
Helen Hong 277 0.5× 422 1.2× 187 1.0× 357 1.9× 122 1.1× 95 1.1k
Marco Nolden 316 0.6× 569 1.6× 235 1.2× 180 0.9× 252 2.2× 30 1.1k
Chunwu Zhou 188 0.3× 694 1.9× 159 0.8× 205 1.1× 94 0.8× 78 1.2k
Madhusudhana Gargesha 424 0.7× 237 0.7× 376 2.0× 245 1.3× 113 1.0× 42 1.2k
Qi Zhang 620 1.1× 220 0.6× 57 0.3× 95 0.5× 110 1.0× 78 1.2k
Tong Tong 364 0.6× 330 0.9× 199 1.0× 62 0.3× 86 0.8× 44 1.2k
Wentao Kong 215 0.4× 227 0.6× 220 1.1× 184 1.0× 22 0.2× 68 823
Xin Yang 249 0.4× 275 0.8× 77 0.4× 88 0.5× 128 1.1× 86 1.2k
Jochen Krücker 334 0.6× 451 1.3× 115 0.6× 148 0.8× 180 1.6× 23 806

Countries citing papers authored by Fred S. Azar

Since Specialization
Citations

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

Fields of papers citing papers by Fred S. Azar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fred S. Azar

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