C. Voena

27.9k citations
22 papers · 188 indexed · h-index 7

C. Voena

21 papers receiving 181 citations

Peers

C. Voena
Comparison fields: 5 of 37
  • Radiation 69
  • Health Informatics 9
  • Radiology, Nuclear Medicine and Imaging 80
  • Nuclear and High Energy Physics 43
  • Pulmonary and Respiratory Medicine 69
Replace E. Solfaroli Camillocci with:
E. Solfaroli Camillocci Italy
C. Mancini-Terracciano Italy
R. Paramatti Italy
A. Scaggion Italy
Seyedamir Tavakoli Taba‬ Australia
Christoph Aberle Switzerland
G. Pirrone Italy
Darren Lockie Australia
Esther Ciarrocchi Italy
A. Lauria Italy
C. Voena relative to E. Solfaroli Camillocci Italy E. Solfaroli Camillocci's profile →
Citations per field
00.5×4.5×
E. Solfaroli Camillocci · 1×
Citations per year

Countries citing papers authored by C. Voena

Since Specialization
Citations

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

Fields of papers citing papers by C. Voena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20241
3 20241
4 20231
5 20231
6 202216
7 20213
8 201967
9 20180
10 20182
11
The quest for <em>μ</em> → <em>eγ</em> and its experimental limiting factors at future high intensity muon beams
201813
12 20182
13 20182
14 20173
15 20171
16 20167
17 20166
18 20152
19 201440
20 20119

About C. Voena

C. Voena is a scholar working on Radiation, Nuclear and High Energy Physics, Health Informatics, Structural Biology and Radiology, Nuclear Medicine and Imaging, having authored 22 papers that have together received 188 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (9 papers), Radiation Detection and Scintillator Technologies (7 papers), Particle physics theoretical and experimental studies (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Neutrino Physics Research (4 papers), Medical Imaging Techniques and Applications (3 papers), Dark Matter and Cosmic Phenomena (3 papers) and Radiation Therapy and Dosimetry (3 papers). The work is most often cited by research in Radiation (69 citations), Health Informatics (9 citations), Radiology, Nuclear Medicine and Imaging (80 citations), Nuclear and High Energy Physics (43 citations) and Pulmonary and Respiratory Medicine (69 citations). C. Voena has collaborated with scholars based in Italy, Switzerland and Germany. Frequent co-authors include R. Faccini, R. Paramatti, F. Renga, C. Mancini-Terracciano, E. Solfaroli Camillocci, M. Marafini, Andrea Laghi, Marta Zerunian, G. Cavoto and S Grasso. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Journal of Instrumentation, IEEE Transactions on Nuclear Science, European Journal of Radiology and Endoscopy.

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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