G. Pirrone

948 citations
26 papers · 485 · h-index 12

Impact in

Papers in

G. Pirrone

23 papers receiving 478 citations

Peers

G. Pirrone
Comparison fields: 5 of 47
  • Health Informatics 24
  • Radiation 140
  • Radiology, Nuclear Medicine and Imaging 269
  • Pulmonary and Respiratory Medicine 184
  • Artificial Intelligence 55
Replace C Furstoss with:
C Furstoss Canada
Tingliang Zhuang United States
Andrea Nitrosi Italy
N Mistry United States
Tony Tadic Canada
Jong Hwi Jeong South Korea
J. van der Stoep Netherlands
Dongho Shin South Korea
E. Solfaroli Camillocci Italy
Brian Harrawood United States
G. Pirrone relative to C Furstoss Canada C Furstoss's profile →
Citations per field
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C Furstoss · 1×
Citations per year

Countries citing papers authored by G. Pirrone

Since Specialization
Citations

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

Fields of papers citing papers by G. Pirrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020194
2 202239
3 201432
4 202130
5 201725
6 202024
7 202419
8 201619
9 201318
10 202317
11 201913
12 201712
13 201611
14 20227
15 20156
16 20234
17 20194
18 20144
19 20123
20 20161

About G. Pirrone

G. Pirrone is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Pulmonary and Respiratory Medicine, Artificial Intelligence and Nuclear and High Energy Physics, having authored 26 papers that have together received 485 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (9 papers), Radiation Detection and Scintillator Technologies (9 papers), Medical Imaging Techniques and Applications (6 papers), Advanced Radiotherapy Techniques (5 papers), Advanced X-ray and CT Imaging (4 papers), Radiation Therapy and Dosimetry (4 papers), Particle Detector Development and Performance (4 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Health Informatics (24 citations), Radiation (140 citations), Radiology, Nuclear Medicine and Imaging (269 citations), Pulmonary and Respiratory Medicine (184 citations) and Artificial Intelligence (55 citations). G. Pirrone has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Michele Avanzo, Joseph Stancanello, Giovanna Sartor, Annalisa Drigo, Issam El Naqa, M. Morrocchi, F. Pennazio, P. Cerello, M.G. Bisogni and R. Wheadon. Their work appears in journals such as Radiotherapy and Oncology, Journal of Instrumentation, Physica Medica, Medical Physics and Cancers.

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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