Russell D. Folks

3.3k citations
90 papers · 2.3k indexed · h-index 24

Russell D. Folks

87 papers receiving 2.3k citations

Peers

Russell D. Folks
Comparison fields: 5 of 83
  • Radiology, Nuclear Medicine and Imaging 1.8k
  • Cardiology and Cardiovascular Medicine 904
  • Health Informatics 17
  • Biomedical Engineering 515
  • Pediatrics, Perinatology and Child Health 186
Replace Wanda Acampa with:
Wanda Acampa Italy
Puneet Sharma United States
Hui Xue United States
Jeremy R. Burt United States
Stefan O. Schönberg Germany
Peter MacEneaney United States
Shiro Nakamori Japan
Henry Chubb United Kingdom
Erik Hedström Sweden
Reza Arsanjani United States
Russell D. Folks relative to Wanda Acampa Italy Wanda Acampa's profile →
Citations per field
00.5×10×13.3×
Wanda Acampa · 1×
Citations per year

Countries citing papers authored by Russell D. Folks

Since Specialization
Citations

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

Fields of papers citing papers by Russell D. Folks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Russell D. Folks. 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 Russell D. Folks. The network helps show where Russell D. Folks may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20179
2 201421
3 201316
4 20134
5 201136
6 20118
7 20101
8 201058
9
Diagnostic Performance of an Expert System for Interpretation of 99mTc MAG3 Scans in Suspected Renal Obstruction
20080
10 20088
11 200616
12 200617
13 2005282
14 20057
15 200316
16 20021
17 20021
18
Computer Processing Methods for Nuclear Medicine Images
19943
19 199417
20 19913

About Russell D. Folks

Russell D. Folks is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Computer Graphics and Computer-Aided Design, having authored 90 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (47 papers), Medical Imaging Techniques and Applications (42 papers), Advanced MRI Techniques and Applications (32 papers), Advanced X-ray and CT Imaging (20 papers), Pediatric Urology and Nephrology Studies (11 papers), Radiopharmaceutical Chemistry and Applications (9 papers), Cardiovascular Function and Risk Factors (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.8k citations), Cardiology and Cardiovascular Medicine (904 citations) and Health Informatics (17 citations). Russell D. Folks has collaborated with scholars based in United States, Spain and China. Frequent co-authors include Ernest Garcia, Tracy L. Faber, C. David Cooke, James R. Galt, Andrew Taylor, Fábio Esteves, César A. Santana, Ji Chen, E. Gordon DePuey and E. Lindsey Tauxe. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Radiology.

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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