Judd E. Reed

3.0k citations
41 papers · 2.5k · h-index 21

Impact in

Papers in

Judd E. Reed

40 papers receiving 2.3k citations

Peers

Judd E. Reed
Comparison fields: 5 of 48
  • Oncology 1.1k
  • Radiology, Nuclear Medicine and Imaging 452
  • Genetics 84
  • Cardiology and Cardiovascular Medicine 76
  • Computer Vision and Pattern Recognition 74
Replace Roy K.H. Wong with:
Roy K.H. Wong United States
Jin Ho Choi South Korea
Robert Kozarski United Kingdom
JianChu Li China
Rogier E. van Gelder Netherlands
Peter M. MacEneaney United States
Michael Patrick Achiam Denmark
Masamitsu Hatakenaka Japan
Ahmet Barutçu Türkiye
Yoon Jin Lee South Korea
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Citations per field
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Roy K.H. Wong · 1×
Citations per year

Countries citing papers authored by Judd E. Reed

Since Specialization
Citations

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

Fields of papers citing papers by Judd E. Reed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Judd E. Reed. 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 Judd E. Reed. The network helps show where Judd E. Reed may publish in the future.

Co-authors

The 25 scholars most cited alongside Judd E. Reed, 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 Judd E. Reed Line = papers co-authored together Judd E. Reed links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996359
2 2000279
3 1997253
4 2001218
5 2001200
6 2000160
7 1996139
8 1997113
9 2000108
10 199376
11 199975
12 199758
13 199948
14
Offline assessment of atherosclerotic coronary calcium from electron beam tomograms.
199539
15 199739
16 199837
17 199926
18 199825
19 199322
20 199421

About Judd E. Reed

Judd E. Reed is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Reproductive Medicine and Computer Vision and Pattern Recognition, having authored 41 papers that have together received 2.5k indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (15 papers), Cardiac Imaging and Diagnostics (9 papers), Cardiovascular Function and Risk Factors (3 papers), Medical Image Segmentation Techniques (1 paper), Genetic and Kidney Cyst Diseases (1 paper), Body Composition Measurement Techniques (1 paper), Radiation Dose and Imaging (1 paper) and Ovarian function and disorders (1 paper). The work is most often cited by research in Oncology (1.1k citations), Radiology, Nuclear Medicine and Imaging (452 citations), Genetics (84 citations), Cardiology and Cardiovascular Medicine (76 citations) and Computer Vision and Pattern Recognition (74 citations). Judd E. Reed has collaborated with scholars based in United States. Frequent co-authors include C. Daniel Johnson, David A. Ahlquist, William Scott Harmsen, Robert L. MacCarty, Joel G. Fletcher, Patrick F. Sheedy, Duane M. Ilstrup, Amy K. Hara, Lynn A. Wilson and John A. Rumberger. Their work appears in journals such as Journal of the American College of Cardiology, Radiology, Investigative Radiology, American Journal of Roentgenology and The American Journal of Cardiology.

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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