Ross Upton

30 papers receiving 722 citations

Peers

Ross Upton
Comparison fields: 5 of 41
  • Health Informatics 184
  • Obstetrics and Gynecology 56
  • Cardiology and Cardiovascular Medicine 113
  • Critical Care and Intensive Care Medicine 13
  • Health Information Management 17
Replace William J. Woodward with:
William J. Woodward United Kingdom
Sergio Sanchez‐Martinez Spain
Maryam Alsharqi United Kingdom
Patricia García‐Canadilla Spain
Marcus Schreckenberg United States
Georg Schummers Germany
Christina Chen United States
Krishnananda Nayak India
Laura A. Hallock United States
Sravani Gajjala United States
Ross Upton relative to William J. Woodward United Kingdom William J. Woodward's profile →
Citations per field
00.5×2×2.9×
William J. Woodward · 1×
Citations per year

Countries citing papers authored by Ross Upton

Since Specialization
Citations

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

Fields of papers citing papers by Ross Upton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018198
2 202194
3 201790
4 202375
5 202046
6 201833
7 202129
8 202229
9 202026
10 202521
11 201818
12 201417
13 202217
14 202316
15 202415
16 202513
17 20247
18 20255
19 20174
20 20202

About Ross Upton

Ross Upton is a scholar working on Health Informatics, Cardiology and Cardiovascular Medicine, Obstetrics and Gynecology, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 34 papers that have together received 766 indexed citations. Recurring topics across this work include Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers), Cardiovascular Function and Risk Factors (3 papers), Artificial Intelligence in Healthcare and Education (2 papers), Pregnancy and preeclampsia studies (2 papers), Congenital Heart Disease Studies (2 papers), Cardiac Imaging and Diagnostics (2 papers), Medical Image Segmentation Techniques (2 papers) and Heart Rate Variability and Autonomic Control (1 paper). The work is most often cited by research in Health Informatics (184 citations), Obstetrics and Gynecology (56 citations), Cardiology and Cardiovascular Medicine (113 citations), Critical Care and Intensive Care Medicine (13 citations) and Health Information Management (17 citations). Ross Upton has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Paul Leeson, Maryam Alsharqi, William J. Woodward, Christina Y. L. Aye, Yvonne Kenworthy, Adam J. Lewandowski, Pablo Lamata, Esther Davis, Kenny P McCormick and Satish Adwani. Their work appears in journals such as Journal of the American Society of Echocardiography, European Heart Journal, Echo Research and Practice, European Heart Journal - Cardiovascular Imaging and Journal of the American College 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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