Nathan A. Pack

466 citations
10 papers · 377 · h-index 7

Impact in

Papers in

Nathan A. Pack

10 papers receiving 371 citations

Peers

Nathan A. Pack
Comparison fields: 5 of 19
  • Radiology, Nuclear Medicine and Imaging 223
  • Cardiology and Cardiovascular Medicine 148
  • Computer Vision and Pattern Recognition 34
  • Molecular Biology 36
  • Genetics 4
Replace Edyta Błaszczyk with:
Edyta Błaszczyk Germany
Marco M. Ochs Germany
José L. Rubio-Guivernau Spain
Caterina Colantoni Italy
Eric D. Carruth United States
Jacob U. Fluckiger United States
Galina Levin United States
Masafumi Takafuji Japan
Maryam Nezafat United States
Raymond Kwong United States
Nathan A. Pack relative to Edyta Błaszczyk Germany Edyta Błaszczyk's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nathan A. Pack

Since Specialization
Citations

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

Fields of papers citing papers by Nathan A. Pack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan A. Pack. 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 Nathan A. Pack. The network helps show where Nathan A. Pack may publish in the future.

Co-authors

The 25 scholars most cited alongside Nathan A. Pack, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nathan A. Pack Line = papers co-authored together Nathan A. Pack links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2008123
2 201069
3 200857
4 200839
5 201130
6 201024
7 200823
8
A semi-automatic software package for analysis of dynamic contrast-enhanced MRI myocardial perfusion studies
20096
9 20074
10 20102

About Nathan A. Pack

Nathan A. Pack is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 10 papers that have together received 377 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (9 papers), Advanced MRI Techniques and Applications (4 papers), Medical Image Segmentation Techniques (2 papers), Cardiovascular Function and Risk Factors (2 papers) and Cardiomyopathy and Myosin Studies (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (223 citations), Cardiology and Cardiovascular Medicine (148 citations), Computer Vision and Pattern Recognition (34 citations), Molecular Biology (36 citations) and Genetics (4 citations). Nathan A. Pack has collaborated with scholars based in United States and Australia. Frequent co-authors include Edward DiBella, William M. Gottliebson, Richard V. Williams, Kan N. Hor, Jason T. Su, Michael D. Puchalski, Christopher J. McGann, Christopher Todd Sower, Alexander I. Veress and Steve A. Maas. Their work appears in journals such as Journal of Cardiovascular Magnetic Resonance, International journal of cardiac imaging, Magnetic Resonance Imaging, Magnetic Resonance in Medicine and Medical Image Analysis.

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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