Eric Clarkson

2.3k citations
113 papers · 1.7k indexed · h-index 22

Impact in

Papers in

Eric Clarkson

106 papers receiving 1.6k citations

Peers

Eric Clarkson
Comparison fields: 5 of 97
  • Radiology, Nuclear Medicine and Imaging 1.1k
  • Radiation 230
  • Biomedical Engineering 655
  • Computer Vision and Pattern Recognition 255
  • Biophysics 69
Replace Matthew A. Kupinski with:
Matthew A. Kupinski United States
Florian Knöll United States
Gene Gindi United States
Birsen Yazıcı United States
Michael T. McCann United States
Yifei Lou United States
Jeremiah Zhe Liu United States
S Rathee Canada
Singanallur Venkatakrishnan United States
Laure Blanc-Féraud France
Eric Clarkson relative to Matthew A. Kupinski United States Matthew A. Kupinski's profile →
Citations per field
00.5×1.5×
Matthew A. Kupinski · 1×
Citations per year

Countries citing papers authored by Eric Clarkson

Since Specialization
Citations

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

Fields of papers citing papers by Eric Clarkson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric Clarkson. 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 Eric Clarkson. The network helps show where Eric Clarkson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998190
2 2011133
3 2003100
4 200880
5 200553
6 200746
7 200043
8 200740
9 200238
10 200537
11 200835
12 201335
13 200333
14 200133
15 200231
16 200528
17 200328
18 200827
19 200024
20 200623

About Eric Clarkson

Eric Clarkson is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Biophysics, Computer Vision and Pattern Recognition and Media Technology, having authored 113 papers that have together received 1.7k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (37 papers), Advanced X-ray and CT Imaging (20 papers), Advanced MRI Techniques and Applications (15 papers), Infrared Target Detection Methodologies (13 papers), Photoacoustic and Ultrasonic Imaging (13 papers), Image and Signal Denoising Methods (12 papers), Optical Imaging and Spectroscopy Techniques (10 papers) and Optical Coherence Tomography Applications (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Radiation (230 citations), Biomedical Engineering (655 citations), Computer Vision and Pattern Recognition (255 citations) and Biophysics (69 citations). Eric Clarkson has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include Harrison H. Barrett, Matthew A. Kupinski, Craig K. Abbey, María I. Altbach, Subok Park, Ali Bilgin, Abhinav K. Jha, Chuan Huang, Christian Graff and Lars R. Furenlid. Their work appears in journals such as Journal of the Optical Society of America A, Optics Express, Academic Radiology, IEEE Transactions on Medical Imaging and Medical Physics.

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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