Greg S. Karczmar

54 total papers · 1.4k total citations
34 papers, 1.1k citations indexed

About

Greg S. Karczmar is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Computational Mechanics. According to data from OpenAlex, Greg S. Karczmar has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Molecular Biology and 7 papers in Computational Mechanics. Recurrent topics in Greg S. Karczmar's work include Advanced MRI Techniques and Applications (15 papers), Granular flow and fluidized beds (7 papers) and MRI in cancer diagnosis (7 papers). Greg S. Karczmar is often cited by papers focused on Advanced MRI Techniques and Applications (15 papers), Granular flow and fluidized beds (7 papers) and MRI in cancer diagnosis (7 papers). Greg S. Karczmar collaborates with scholars based in United States, Taiwan and China. Greg S. Karczmar's co-authors include Heinrich M. Jaeger, Sidney R. Nagel, E. E. Ehrichs, Vadim Y. Kuperman, James B. Knight, Michael W. Weiner, Matthias E. Möbius, Xiang Cheng, Milica Medved and Marta Zamora and has published in prestigious journals such as Science, Physical Review Letters and Journal of Clinical Oncology.

In The Last Decade

Greg S. Karczmar

34 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Greg S. Karczmar 375 330 207 162 146 34 1.1k
Milica Medved 51 0.1× 1.1k 3.3× 127 0.6× 110 0.7× 18 0.1× 69 1.4k
Malte Schmick 103 0.3× 45 0.1× 602 2.9× 80 0.5× 41 0.3× 18 1.2k
Peter Ganatos 504 1.3× 183 0.6× 103 0.5× 114 0.7× 247 1.7× 27 1.4k
Yasuaki Hiraoka 44 0.1× 296 0.9× 158 0.8× 290 1.8× 24 0.2× 57 1.3k
Joseph Ayoub 86 0.2× 14 0.0× 103 0.5× 15 0.1× 359 2.5× 60 968
Panagiotis Hadjidoukas 90 0.2× 161 0.5× 67 0.3× 62 0.4× 31 0.2× 53 913
Jiayu Song 38 0.1× 223 0.7× 308 1.5× 74 0.5× 64 0.4× 48 1.1k
Rainer Schmidt 34 0.1× 469 1.4× 92 0.4× 88 0.5× 13 0.1× 107 1.4k
John Harris 25 0.1× 228 0.7× 233 1.1× 105 0.6× 9 0.1× 33 1.2k
Zhenya Li 102 0.3× 11 0.0× 345 1.7× 189 1.2× 14 0.1× 72 1.3k

Countries citing papers authored by Greg S. Karczmar

Since Specialization
Citations

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

Fields of papers citing papers by Greg S. Karczmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Greg S. Karczmar

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