Kevin M. Schartz

30 total papers · 969 total citations
26 papers, 683 citations indexed

About

Kevin M. Schartz is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kevin M. Schartz has authored 26 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Biomedical Engineering and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kevin M. Schartz's work include Radiology practices and education (16 papers), Radiation Dose and Imaging (12 papers) and Advanced X-ray and CT Imaging (7 papers). Kevin M. Schartz is often cited by papers focused on Radiology practices and education (16 papers), Radiation Dose and Imaging (12 papers) and Advanced X-ray and CT Imaging (7 papers). Kevin M. Schartz collaborates with scholars based in United States. Kevin M. Schartz's co-authors include Kevin S. Berbaum, Robert T. Caldwell, Elizabeth A. Krupinski, Mark T. Madsen, John Kim, Stephen L. Hillis, Nancy A. Obuchowski, Edmund A. Franken, Brad Thompson and David J. Kramer and has published in prestigious journals such as Statistics in Medicine, Current Directions in Psychological Science and British Journal of Radiology.

In The Last Decade

Kevin M. Schartz

26 papers receiving 662 citations

Author Peers

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

Author Last Decade Papers Cites
Kevin M. Schartz 456 148 123 107 71 26 683
Stephen Waite 422 0.9× 108 0.7× 95 0.8× 98 0.9× 71 1.0× 25 656
Nadja Kadom 439 1.0× 113 0.8× 104 0.8× 31 0.3× 91 1.3× 55 716
Paul McCoubrie 298 0.7× 57 0.4× 64 0.5× 127 1.2× 20 0.3× 28 579
Hani H. Abujudeh 503 1.1× 83 0.6× 116 0.9× 114 1.1× 51 0.7× 30 707
Brendan S. Kelly 219 0.5× 59 0.4× 78 0.6× 34 0.3× 46 0.6× 39 596
Mary Scanlon 408 0.9× 186 1.3× 63 0.5× 69 0.6× 18 0.3× 42 726
Lawrence C. Toto 473 1.0× 227 1.5× 70 0.6× 102 1.0× 151 2.1× 19 676
Annette J. Johnson 439 1.0× 237 1.6× 94 0.8× 40 0.4× 21 0.3× 25 770
Jan P. J. van Schaik 237 0.5× 69 0.5× 75 0.6× 134 1.3× 24 0.3× 27 565
Jamlik-Omari Johnson 352 0.8× 102 0.7× 56 0.5× 44 0.4× 15 0.2× 49 705

Countries citing papers authored by Kevin M. Schartz

Since Specialization
Citations

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

Fields of papers citing papers by Kevin M. Schartz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin M. Schartz. 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 Kevin M. Schartz. The network helps show where Kevin M. Schartz may publish in the future.

Co-authorship network of co-authors of Kevin M. Schartz

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin M. Schartz. A scholar is included among the top collaborators of Kevin M. Schartz 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 Kevin M. Schartz. Kevin M. Schartz 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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