C. Voena

27.9k total citations
22 papers, 188 citations indexed

About

C. Voena is a scholar working on Nuclear and High Energy Physics, Radiation and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, C. Voena has authored 22 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Nuclear and High Energy Physics, 8 papers in Radiation and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in C. Voena's work include Particle Detector Development and Performance (9 papers), Radiation Detection and Scintillator Technologies (7 papers) and Particle physics theoretical and experimental studies (5 papers). C. Voena is often cited by papers focused on Particle Detector Development and Performance (9 papers), Radiation Detection and Scintillator Technologies (7 papers) and Particle physics theoretical and experimental studies (5 papers). C. Voena collaborates with scholars based in Italy, Switzerland and Germany. C. Voena's 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 and has published in prestigious journals such as Physics in Medicine and Biology, Review of Scientific Instruments and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

C. Voena

21 papers receiving 181 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
C. Voena Italy 7 80 69 69 43 40 22 188
E. Solfaroli Camillocci Italy 9 140 1.8× 103 1.5× 105 1.5× 18 0.4× 73 1.8× 36 264
C. Mancini-Terracciano Italy 8 121 1.5× 88 1.3× 92 1.3× 12 0.3× 65 1.6× 31 225
R. Paramatti Italy 5 61 0.8× 16 0.2× 33 0.5× 21 0.5× 39 1.0× 18 112
A. Lauria Italy 10 109 1.4× 79 1.1× 67 1.0× 54 1.3× 12 0.3× 18 210
Donald M. Roback United States 10 108 1.4× 129 1.9× 122 1.8× 24 0.6× 7 0.2× 20 271
A. Scaggion Italy 10 192 2.4× 119 1.7× 212 3.1× 32 0.7× 14 0.3× 33 307
Z.Z. Xu China 5 49 0.6× 48 0.7× 38 0.6× 56 1.3× 4 0.1× 10 128
Z. van Kesteren Netherlands 10 111 1.4× 114 1.7× 163 2.4× 34 0.8× 10 0.3× 30 266
Esther Ciarrocchi Italy 7 97 1.2× 68 1.0× 83 1.2× 7 0.2× 6 0.1× 21 200
G. Pirrone Italy 12 341 4.3× 249 3.6× 166 2.4× 21 0.5× 26 0.7× 26 454

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 of co-authors of C. Voena

This figure shows the co-authorship network connecting the top 25 collaborators of C. Voena. A scholar is included among the top collaborators of C. Voena based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with C. Voena. C. Voena is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gargiulo, Simona, et al.. (2025). Influence based explainability of brain tumors segmentation in magnetic resonance imaging. Progress in Artificial Intelligence. 2 indexed citations
2.
3.
Dilaghi, Emanuele, C. Voena, S. Giagu, et al.. (2024). A pre-training model for intestinal metaplasia recognition in the gastric corpus: preliminary data analysis. Endoscopy. 56(S 02). S58–S58. 1 indexed citations
4.
Cavoto, G., Markus Gruber, Timothy Hume, et al.. (2023). Operating the GridPix detector with helium-isobutane gas mixtures for a high-precision, low-mass Time Projection Chamber. Journal of Instrumentation. 18(10). P10035–P10035. 1 indexed citations
5.
Melchionna, Simone, et al.. (2023). COVID-19 therapy optimization by AI-driven biomechanical simulations. The European Physical Journal Plus. 138(2). 182–182. 1 indexed citations
6.
Bassi, Massimiliano, A. Russomando, Jacopo Vannucci, et al.. (2022). Role of radiomics in predicting lung cancer spread through air spaces in a heterogeneous dataset. Translational Lung Cancer Research. 11(4). 560–571. 16 indexed citations
7.
Cavoto, G., G. Chiarello, M. Hildebrandt, et al.. (2021). A photogrammetric method for target monitoring inside the MEG II detector. Review of Scientific Instruments. 92(4). 43707–43707. 3 indexed citations
8.
Ferrari, Riccardo, C. Mancini-Terracciano, C. Voena, et al.. (2019). MR-based artificial intelligence model to assess response to therapy in locally advanced rectal cancer. European Journal of Radiology. 118. 1–9. 67 indexed citations
9.
10.
Chiarello, G., C. Chiri, G. Cocciolo, et al.. (2018). Improving spatial and PID performance of the high transparency Drift Chamber by using the Cluster Counting and Timing techniques. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 936. 464–465. 2 indexed citations
11.
Cavoto, G., A. Papa, F. Renga, E. Ripiccini, & C. Voena. (2018). The quest for <em>μ</em> → <em>eγ</em> and its experimental limiting factors at future high intensity muon beams. DORA PSI (Paul Scherrer Institute). 13 indexed citations
12.
Baldini, A., G. Cavoto, F. Cei, et al.. (2018). The new drift chamber of the MEG II experiment. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 936. 501–502. 2 indexed citations
13.
Pinci, D., E. Baracchini, G. Cavoto, et al.. (2018). High resolution TPC based on optically readout GEM. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 936. 453–455. 2 indexed citations
14.
Pinci, D., F. Renga, C. Voena, et al.. (2017). CYGNUS: development of a high resolution TPC for rare events. 77–77. 3 indexed citations
15.
Mazzitelli, G., V. C. Antochi, E. Baracchini, et al.. (2017). A high resolution TPC based on GEM optical readout. IRIS Research product catalog (Sapienza University of Rome). 572. 1–4. 1 indexed citations
16.
Russomando, A., F. Bellini, V. Bocci, et al.. (2016). An Intraoperative $\beta ^{-}$ Detecting Probe for Radio-Guided Surgery in Tumour Resection. IEEE Transactions on Nuclear Science. 63(5). 2533–2539. 7 indexed citations
17.
Battistoni, G., F. Collamati, E. De Lucia, et al.. (2016). Design of a tracking device for on-line dose monitoring in hadrontherapy. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 845. 679–683. 6 indexed citations
18.
Camillocci, E. Solfaroli, F. Bellini, V. Bocci, et al.. (2015). Intraoperative β− detecting probe for radio-guided surgery in tumour resection. IRIS Research product catalog (Sapienza University of Rome). 56. 1–6. 2 indexed citations
19.
Piersanti, L., F. Bellini, Fabiano Bini, et al.. (2014). Measurement of charged particle yields from PMMA irradiated by a 220 MeV/u12Cbeam. Physics in Medicine and Biology. 59(7). 1857–1872. 40 indexed citations
20.
Gerone, M. De, S. Dussoni, K. Fratini, et al.. (2011). The MEG timing counter calibration and performance. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 638(1). 41–46. 9 indexed citations

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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