Ermanno Capuano

538 citations
14 papers · 413 · h-index 9

Impact in

Papers in

Ermanno Capuano

13 papers receiving 398 citations

Peers

Ermanno Capuano
Comparison fields: 5 of 60
  • Radiology, Nuclear Medicine and Imaging 244
  • Endocrinology, Diabetes and Metabolism 60
  • Cardiology and Cardiovascular Medicine 66
  • Computer Vision and Pattern Recognition 48
  • Physiology 61
Replace Theodosis Tyllis with:
Theodosis Tyllis Cyprus
Yechen Han China
Elisabeth H.M. Paiman Netherlands
Manon V. van Hecke Netherlands
Yusheng Pang China
Navdeep Dahiya India
Liyao Fu China
Taisei Mikami Japan
Matthew Janik United States
Serena Dell’Aversana Italy
Ermanno Capuano relative to Theodosis Tyllis Cyprus Theodosis Tyllis's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ermanno Capuano

Since Specialization
Citations

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

Fields of papers citing papers by Ermanno Capuano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 200966
2 200366
3 200963
4 201154
5 201144
6 201040
7 200835
8 200918
9 20219
10 20117
11 20096
12
[Chronic kidney disease prevalence and trends (1998-2008) in an area of southern Italy. The data of the VIP project].
20124
13 20171
14 20200

About Ermanno Capuano

Ermanno Capuano is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Molecular Biology, Pulmonary and Respiratory Medicine and Oncology, having authored 14 papers that have together received 413 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (5 papers), Advanced X-ray and CT Imaging (3 papers), Radiation Dose and Imaging (3 papers), Advanced MRI Techniques and Applications (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers), Thyroid Disorders and Treatments (1 paper), Diet, Metabolism, and Disease (1 paper) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (244 citations), Endocrinology, Diabetes and Metabolism (60 citations), Cardiology and Cardiovascular Medicine (66 citations), Computer Vision and Pattern Recognition (48 citations) and Physiology (61 citations). Ermanno Capuano has collaborated with scholars based in Netherlands, Italy and United Kingdom. Frequent co-authors include Lisan A. Neefjes, Michiel Schaap, Marco Salvatore, Massimo Imbriaco, Pim J. de Feyter, Nico R. Mollet, Annick C. Weustink, Theo van Walsum, Wiro J. Niessen and Carlo Carella. Their work appears in journals such as IEEE Transactions on Medical Imaging, Radiology, Heart, American Journal of Roentgenology and Atherosclerosis.

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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