Blake E. Dewey

2.6k citations
79 papers · 1.8k · h-index 23

Impact in

Papers in

Blake E. Dewey

71 papers receiving 1.8k citations

Peers

Blake E. Dewey
Comparison fields: 5 of 113
  • Radiology, Nuclear Medicine and Imaging 756
  • Pathology and Forensic Medicine 449
  • Computer Vision and Pattern Recognition 411
  • Neurology 122
  • Health Informatics 19
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Michaël Sdika France
Navid Shiee United States
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Annemie Ribbens Belgium
Armin Biller Germany
Michele Larobina Italy
Lotta M. Ellingsen United States
Dong Soo Yoo South Korea
Francesco Grussu United Kingdom
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Citations per year

Countries citing papers authored by Blake E. Dewey

Since Specialization
Citations

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

Fields of papers citing papers by Blake E. Dewey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019170
2 2019154
3 2012148
4 2020135
5 201988
6 202175
7 201873
8 201872
9 202171
10 201960
11 202150
12 201744
13 201838
14 202037
15 201933
16 201833
17 201433
18 201632
19 202330
20 201729

About Blake E. Dewey

Blake E. Dewey is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Computer Vision and Pattern Recognition, Biophysics and Rheumatology, having authored 79 papers that have together received 1.8k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (25 papers), Advanced MRI Techniques and Applications (15 papers), Advanced Neuroimaging Techniques and Applications (14 papers), Advanced Image Processing Techniques (11 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Image and Signal Denoising Methods (8 papers), Medical Image Segmentation Techniques (8 papers) and Ultrasound Imaging and Elastography (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (756 citations), Pathology and Forensic Medicine (449 citations), Computer Vision and Pattern Recognition (411 citations), Neurology (122 citations) and Health Informatics (19 citations). Blake E. Dewey has collaborated with scholars based in United States, South Korea and Iceland. Frequent co-authors include Jerry L. Prince, Aaron Carass, Daniel S. Reich, Peter A. Calabresi, Can Zhao, Jacob C. Reinhold, Dzung L. Pham, Lianrui Zuo, Yufan He and Seth A. Smith. Their work appears in journals such as Multiple Sclerosis Journal, American Journal of Neuroradiology, 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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