Luca Camoni

753 citations
36 papers · 431 · h-index 11

Impact in

Papers in

Luca Camoni

31 papers receiving 423 citations

Peers

Luca Camoni
Comparison fields: 5 of 55
  • Radiology, Nuclear Medicine and Imaging 234
  • Critical Care and Intensive Care Medicine 17
  • Pathology and Forensic Medicine 52
  • Infectious Diseases 54
  • Pulmonary and Respiratory Medicine 64
Replace Sanaz Katal with:
Sanaz Katal United States
Matheus Zanon Brazil
Hirad Yarmohammadi United States
Jitesh Ahuja United States
Cesare Mantini Italy
Tullio Valente Italy
Samia Boussouar France
Alessandra Farchione Italy
Andrew C. Sher United States
Rocío Hinojar Spain
Luca Camoni relative to Sanaz Katal United States Sanaz Katal's profile →
Citations per field
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Citations per year

Countries citing papers authored by Luca Camoni

Since Specialization
Citations

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

Fields of papers citing papers by Luca Camoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020123
2 201959
3 201830
4 202125
5 201420
6 202119
7 201716
8 202016
9 202211
10 202310
11 202010
12 20159
13 20238
14 20218
15 20207
16 20207
17 20187
18 20236
19 20116
20 20206

About Luca Camoni

Luca Camoni is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine, having authored 36 papers that have together received 431 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (8 papers), Cardiac Imaging and Diagnostics (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Lung Cancer Diagnosis and Treatment (4 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), Medical Imaging and Pathology Studies (3 papers), Advanced X-ray and CT Imaging (2 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (234 citations), Critical Care and Intensive Care Medicine (17 citations), Pathology and Forensic Medicine (52 citations), Infectious Diseases (54 citations) and Pulmonary and Respiratory Medicine (64 citations). Luca Camoni has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Francesco Bertagna, Domenico Albano, Raffaele Giubbini, Alessia Peli, Raffaele Giubbini, Mattia Bertoli, Giovanni Bosio, Carlo Rodella, Federica Motta and Maria Beatrice Panarotto. Their work appears in journals such as Journal of Nuclear Cardiology, Nuclear Medicine Communications, European Journal of Nuclear Medicine and Molecular Imaging, Journal of Clinical Medicine and Reviews in Endocrine and Metabolic Disorders.

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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