Stephen G. Hushek

34 total papers · 1.4k total citations
26 papers, 1.0k citations indexed

About

Stephen G. Hushek is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Stephen G. Hushek has authored 26 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Biomedical Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Stephen G. Hushek's work include Advanced MRI Techniques and Applications (9 papers), MRI in cancer diagnosis (7 papers) and Ultrasound and Hyperthermia Applications (4 papers). Stephen G. Hushek is often cited by papers focused on Advanced MRI Techniques and Applications (9 papers), MRI in cancer diagnosis (7 papers) and Ultrasound and Hyperthermia Applications (4 papers). Stephen G. Hushek collaborates with scholars based in United States, Canada and New Zealand. Stephen G. Hushek's co-authors include Noam Alperin, Anusha Sivaramakrishnan, Ferenc A. Jólesz, Sang H. Lee, Thomas M. Moriarty, Robert V. Mulkern, Terry Lichtor, Paul R. Morrison, M. Sabry Hassouna and Reiko Matsumoto and has published in prestigious journals such as The American Journal of Sports Medicine, Magnetic Resonance in Medicine and Journal of Magnetic Resonance Imaging.

In The Last Decade

Stephen G. Hushek

25 papers receiving 965 citations

Author Peers

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

Author Last Decade Papers Cites
Stephen G. Hushek 468 307 245 182 155 26 1.0k
Sherif G. Nour 474 1.0× 281 0.9× 138 0.6× 202 1.1× 115 0.7× 50 1.2k
Mark Clampitt 662 1.4× 293 1.0× 144 0.6× 188 1.0× 43 0.3× 21 1.2k
Steinar Ommedal 459 1.0× 311 1.0× 194 0.8× 201 1.1× 136 0.9× 19 981
Kristof Baete 657 1.4× 164 0.5× 184 0.8× 29 0.2× 85 0.5× 47 1.0k
Carlos F. Gonzalez 170 0.4× 131 0.4× 326 1.3× 117 0.6× 35 0.2× 48 1.0k
Rik Stokking 356 0.8× 88 0.3× 86 0.4× 62 0.3× 168 1.1× 28 1.1k
G.A.P. de Kort 401 0.9× 156 0.5× 324 1.3× 174 1.0× 66 0.4× 37 1.1k
David T. Gering 450 1.0× 287 0.9× 68 0.3× 247 1.4× 44 0.3× 16 982
S. Leeman 289 0.6× 358 1.2× 99 0.4× 114 0.6× 64 0.4× 69 977
Chia‐Feng Lu 544 1.2× 204 0.7× 151 0.6× 54 0.3× 47 0.3× 71 1.1k

Countries citing papers authored by Stephen G. Hushek

Since Specialization
Citations

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

Fields of papers citing papers by Stephen G. Hushek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen G. Hushek. 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 Stephen G. Hushek. The network helps show where Stephen G. Hushek may publish in the future.

Co-authorship network of co-authors of Stephen G. Hushek

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen G. Hushek. A scholar is included among the top collaborators of Stephen G. Hushek 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 Stephen G. Hushek. Stephen G. Hushek 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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