P.E. Colombo

439 citations
27 papers · 278 · h-index 9

Impact in

Papers in

P.E. Colombo

22 papers receiving 273 citations

Peers

P.E. Colombo
Comparison fields: 5 of 48
  • Radiology, Nuclear Medicine and Imaging 192
  • Health Informatics 4
  • Pulmonary and Respiratory Medicine 88
  • Radiation 23
  • Biomedical Engineering 112
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Citations per year

Countries citing papers authored by P.E. Colombo

Since Specialization
Citations

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

Fields of papers citing papers by P.E. Colombo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201547
2 201832
3 201632
4 199829
5 202029
6
Evaluation of the efficacy of a bismuth shield during CT examinations.
200524
7 202017
8 200415
9 20218
10 20198
11
Medtronic O-arm: Image quality and radiation dose assessment in 3D imaging
20107
12 20225
13
[Definition criteria for a magnetic resonance quality assurance program: multicenter study].
19995
14 20234
15 20134
16 20213
17
Ultrasound-guided fine-needle liver biopsy: A multicentre survey of pre-procedure evaluation practices and complication rates
19953
18 20212
19 20181
20 20141

About P.E. Colombo

P.E. Colombo is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pulmonary and Respiratory Medicine, Radiation and Epidemiology, having authored 27 papers that have together received 278 indexed citations. Recurring topics across this work include Radiation Dose and Imaging (12 papers), Advanced X-ray and CT Imaging (11 papers), Medical Imaging Techniques and Applications (6 papers), Digital Radiography and Breast Imaging (5 papers), COVID-19 diagnosis using AI (4 papers), Lung Cancer Diagnosis and Treatment (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Advanced MRI Techniques and Applications (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (192 citations), Health Informatics (4 citations), Pulmonary and Respiratory Medicine (88 citations), Radiation (23 citations) and Biomedical Engineering (112 citations). P.E. Colombo has collaborated with scholars based in Italy and United States. Frequent co-authors include A. Torresin, Angelo Vanzulli, A. Pola, F. Rottoli, P. De Marco, Barbara Barbieri, Gregory L. Ferraro, G Rizzato, Daniela Origgi and M. Ravini. Their work appears in journals such as Physica Medica, European Radiology Experimental, Frontiers in Oncology, World Neurosurgery and Magnetic Resonance 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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