Edward Ashton

1.2k citations
39 papers · 963 · h-index 14

Impact in

Papers in

Edward Ashton

37 papers receiving 923 citations

Peers

Edward Ashton
Comparison fields: 5 of 100
  • Radiology, Nuclear Medicine and Imaging 404
  • Hepatology 96
  • Media Technology 90
  • Computer Vision and Pattern Recognition 154
  • Cancer Research 81
Replace Chengyan Wang with:
Chengyan Wang China
Melcior Sentís Spain
Hesheng Wang United States
André Homeyer Germany
Yongchang Zheng China
Jiawei Tian China
Neelam Tyagi United States
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Chin-Tu Chen United States
Edward Ashton relative to Chengyan Wang China Chengyan Wang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Edward Ashton

Since Specialization
Citations

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

Fields of papers citing papers by Edward Ashton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005202
2 201799
3 201085
4 200384
5 199864
6 199563
7 200858
8 201054
9 199733
10 199532
11 200830
12 201127
13 201618
14 200514
15 199513
16 201311
17 201011
18 20177
19 20077
20 19996

About Edward Ashton

Edward Ashton is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Pathology and Forensic Medicine, Hepatology and Pulmonary and Respiratory Medicine, having authored 39 papers that have together received 963 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (13 papers), MRI in cancer diagnosis (11 papers), Medical Image Segmentation Techniques (10 papers), Advanced MRI Techniques and Applications (9 papers), Medical Imaging Techniques and Applications (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Spectroscopy and Chemometric Analyses (4 papers) and Remote-Sensing Image Classification (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (404 citations), Hepatology (96 citations), Media Technology (90 citations), Computer Vision and Pattern Recognition (154 citations) and Cancer Research (81 citations). Edward Ashton has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Kevin J. Parker, Teresa M. McShane, Michel J. Berg, Chaan S. Ng, Jeffrey L. Evelhoch, Edward F. Jackson, Frederick Kelcz, Steven D. Reich, Saara Tötterman and David Raunig. Their work appears in journals such as Journal of Magnetic Resonance Imaging, Ultrasonic Imaging, Optical Engineering, Journal of Clinical Oncology and Clinical Anatomy.

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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