Gene Gindi

144 total papers · 3.2k total citations
107 papers, 2.4k citations indexed

About

Gene Gindi is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Radiation. According to data from OpenAlex, Gene Gindi has authored 107 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Radiology, Nuclear Medicine and Imaging, 46 papers in Biomedical Engineering and 23 papers in Radiation. Recurrent topics in Gene Gindi's work include Medical Imaging Techniques and Applications (80 papers), Advanced X-ray and CT Imaging (43 papers) and Advanced MRI Techniques and Applications (28 papers). Gene Gindi is often cited by papers focused on Medical Imaging Techniques and Applications (80 papers), Advanced X-ray and CT Imaging (43 papers) and Advanced MRI Techniques and Applications (28 papers). Gene Gindi collaborates with scholars based in United States, Taiwan and China. Gene Gindi's co-authors include I. George Zubal, Anand Rangarajan, Charles R. Harrell, E. O’Brian Smith, Zachary Rattner, Paul B. Hoffer, Ing‐Tsung Hsiao, Parmeshwar Khurd, Arthur F. Gmitro and Wenli Wang and has published in prestigious journals such as Circulation, IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging.

In The Last Decade

Gene Gindi

100 papers receiving 2.3k citations

Hit Papers

Computerized three‐dimens... 1994 2026 2004 2015 1994 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Gene Gindi 1.7k 1.0k 506 334 327 107 2.4k
A.N.T.J. Kotte 1.3k 0.7× 899 0.9× 1.1k 2.2× 282 0.8× 828 2.5× 70 2.5k
Aldo Badano 1.8k 1.0× 1.0k 1.0× 427 0.8× 292 0.9× 1.3k 3.9× 222 2.9k
Eric Clarkson 1.1k 0.6× 658 0.6× 229 0.5× 255 0.8× 172 0.5× 113 1.7k
Matthew A. Kupinski 1.4k 0.8× 700 0.7× 284 0.6× 417 1.2× 257 0.8× 125 2.2k
Jan Kybic 951 0.5× 486 0.5× 199 0.4× 967 2.9× 165 0.5× 107 2.3k
Quan Chen 1.8k 1.0× 1.1k 1.1× 1.1k 2.1× 207 0.6× 725 2.2× 187 3.2k
Hideaki Haneishi 664 0.4× 405 0.4× 398 0.8× 549 1.6× 286 0.9× 200 1.9k
Edward L. Chaney 804 0.5× 382 0.4× 746 1.5× 719 2.2× 489 1.5× 91 2.0k
Huafeng Liu 962 0.6× 483 0.5× 350 0.7× 228 0.7× 81 0.2× 157 1.9k
Zhen Tian 907 0.5× 522 0.5× 655 1.3× 208 0.6× 454 1.4× 119 1.7k

Countries citing papers authored by Gene Gindi

Since Specialization
Citations

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

Fields of papers citing papers by Gene Gindi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gene Gindi

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