Stephen Power

544 citations
29 papers · 365 · h-index 8

Impact in

    • Radiation Dose and Imaging
    • Medical Imaging Techniques and Applications
    • Radiomics and Machine Learning in Medical Imaging
    • Radiology practices and education
    • COVID-19 diagnosis using AI
    • Venous Thromboembolism Diagnosis and Management

Papers in

Stephen Power

23 papers receiving 353 citations

Peers

Stephen Power
Comparison fields: 5 of 89
  • Radiology, Nuclear Medicine and Imaging 136
  • Internal Medicine 13
  • Health Informatics 5
  • Critical Care and Intensive Care Medicine 13
  • Microbiology 2
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Martin G. Radvany United States
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Citations per year

Countries citing papers authored by Stephen Power

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Power

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016227
2 200723
3 201719
4 201413
5 202011
6 195510
7 198910
8 199910
9 20146
10 20235
11 20225
12 20204
13 19584
14 20193
15 20103
16 20223
17 19552
18 20221
19 20191
20 20251

About Stephen Power

Stephen Power is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Urology, Epidemiology and Obstetrics and Gynecology, having authored 29 papers that have together received 365 indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (2 papers), Renal cell carcinoma treatment (2 papers), Ureteral procedures and complications (2 papers), Urological Disorders and Treatments (2 papers), Central Venous Catheters and Hemodialysis (2 papers), Cerebral Venous Sinus Thrombosis (2 papers), Uterine Myomas and Treatments (2 papers) and Genetic and Kidney Cyst Diseases (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (136 citations), Internal Medicine (13 citations), Health Informatics (5 citations), Critical Care and Intensive Care Medicine (13 citations) and Microbiology (2 citations). Stephen Power has collaborated with scholars based in Ireland, Canada and United Kingdom. Frequent co-authors include Karl James, Fiachra Moloney, Michael M. Maher, ‎Maria Twomey, Andrew Leung, Valter Feyles, Colm O’Tuathaigh, Siún O’Flynn, Kirles Bishay and Gary R. May. Their work appears in journals such as The Lancet, The Breast Journal, CHEST Journal, International Journal of Clinical Practice and Insights into Imaging.

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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