P. Cerello

25.3k total citations
86 papers, 1.1k citations indexed

About

P. Cerello is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, P. Cerello has authored 86 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Radiation, 37 papers in Radiology, Nuclear Medicine and Imaging and 36 papers in Pulmonary and Respiratory Medicine. Recurrent topics in P. Cerello's work include Radiation Detection and Scintillator Technologies (32 papers), Medical Imaging Techniques and Applications (26 papers) and Radiation Therapy and Dosimetry (20 papers). P. Cerello is often cited by papers focused on Radiation Detection and Scintillator Technologies (32 papers), Medical Imaging Techniques and Applications (26 papers) and Radiation Therapy and Dosimetry (20 papers). P. Cerello collaborates with scholars based in Italy, Cuba and Switzerland. P. Cerello's co-authors include Maria Evelina Fantacci, Alessandra Retico, R. Bellotti, E. Fiorina, N. Camarlinghi, F. Pennazio, I. De Mitri, Paolo Bosco, A. Chincarini and S. Squarcia and has published in prestigious journals such as NeuroImage, Pattern Recognition and Journal of Physics D Applied Physics.

In The Last Decade

P. Cerello

78 papers receiving 1.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
P. Cerello 606 523 261 164 129 86 1.1k
Maria Evelina Fantacci 728 1.2× 543 1.0× 184 0.7× 355 2.2× 198 1.5× 149 1.4k
Michele Larobina 423 0.7× 85 0.2× 93 0.4× 64 0.4× 136 1.1× 30 861
Donald J. Peck 1.1k 1.8× 344 0.7× 51 0.2× 126 0.8× 261 2.0× 45 1.6k
Joyita Dutta 865 1.4× 72 0.1× 137 0.5× 96 0.6× 240 1.9× 58 1.3k
P. Hendrik Pretorius 2.7k 4.5× 202 0.4× 611 2.3× 35 0.2× 173 1.3× 182 3.0k
Yongfeng Yang 2.5k 4.1× 153 0.3× 1.6k 6.3× 64 0.4× 229 1.8× 139 3.0k
Carole Lartizien 1.1k 1.8× 318 0.6× 298 1.1× 175 1.1× 203 1.6× 70 1.4k
Jérôme Declerck 1.0k 1.7× 388 0.7× 58 0.2× 127 0.8× 312 2.4× 69 1.8k
Zikuan Chen 598 1.0× 178 0.3× 30 0.1× 48 0.3× 110 0.9× 95 904
Xue Feng 715 1.2× 237 0.5× 263 1.0× 285 1.7× 208 1.6× 86 1.4k

Countries citing papers authored by P. Cerello

Since Specialization
Citations

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

Fields of papers citing papers by P. Cerello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Cerello

This figure shows the co-authorship network connecting the top 25 collaborators of P. Cerello. A scholar is included among the top collaborators of P. Cerello 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 P. Cerello. P. Cerello 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.
Ranjbar, Seyed Faramarz, Félix Más Milián, P. Cerello, et al.. (2025). Performance Analysis of In-Beam PET Range Verification System for Carbon Ion Beams. IEEE Transactions on Radiation and Plasma Medical Sciences. 10(1). 137–143.
2.
Ferrero, V., Massimo Aglietta, P. Cerello, et al.. (2024). PP12.10 IN-BEAM MEASUREMENTS OF STOPPING POWER USING MULTIDETECTOR PROMPT GAMMATIMING IN PROTON THERAPY. Physica Medica. 125. 103890–103890.
3.
Pennazio, F., E. Fiorina, P. Cerello, et al.. (2024). Stopping power and range estimations in proton therapy based on prompt gamma timing: motion models and automated parameter optimization. Physics in Medicine and Biology. 69(14). 14NT02–14NT02. 1 indexed citations
4.
Battistoni, G., M.G. Bisogni, P. Cerello, et al.. (2024). Few-seconds range verification with short-lived positron emitters in carbon ion therapy. Physica Medica. 118. 103209–103209. 4 indexed citations
5.
Traverso, Alberto, M. Agnello, Christian Bracco, et al.. (2018). A cloud-based computer-aided detection system improves identification of lung nodules on computed tomography scans of patients with extra-thoracic malignancies. European Radiology. 29(1). 144–152. 26 indexed citations
6.
Sportelli, Giancarlo, Nicola Belcari, N. Camarlinghi, et al.. (2018). Particle beam microstructure reconstruction and coincidence discrimination in PET monitoring for hadron therapy. Physics in Medicine and Biology. 64(3). 35001–35001. 6 indexed citations
7.
Morrocchi, M., G. Ambrosi, M.G. Bisogni, et al.. (2017). Depth of interaction determination in monolithic scintillator with double side SiPM readout. EJNMMI Physics. 4(1). 11–11. 12 indexed citations
8.
Pennazio, F., M.G. Bisogni, N. Camarlinghi, et al.. (2016). Full-beam performances of a PET detector with synchrotron therapeutic proton beams. Physics in Medicine and Biology. 61(23). N650–N666. 19 indexed citations
9.
Camarlinghi, N., Nicola Belcari, P. Cerello, et al.. (2015). Evaluation of algorithms for photon depth of interaction estimation for the TRIMAGE PET component. EJNMMI Physics. 2(S1). A13–A13. 2 indexed citations
10.
Torres, E. López, E. Fiorina, F. Pennazio, et al.. (2015). Large scale validation of the M5L lung CAD on heterogeneous CT datasets. Medical Physics. 42(4). 1477–1489. 86 indexed citations
11.
Chincarini, A., Paolo Bosco, P. Calvini, et al.. (2011). Local MRI analysis approach in the diagnosis of early and prodromal Alzheimer's disease. NeuroImage. 58(2). 469–480. 141 indexed citations
12.
Camarlinghi, N., Ilaria Gori, Alessandra Retico, et al.. (2011). Combination of computer-aided detection algorithms for automatic lung nodule identification. International Journal of Computer Assisted Radiology and Surgery. 7(3). 455–464. 46 indexed citations
13.
Nunzio, Giorgio De, Rosella Cataldo, I. De Mitri, et al.. (2009). Automatic Lung Segmentation in CT Images with Accurate Handling of the Hilar Region. Journal of Digital Imaging. 24(1). 11–27. 68 indexed citations
14.
Golosio, Bruno, Giovanni Luca Masala, P. Oliva, et al.. (2009). A novel multithreshold method for nodule detection in lung CT. Medical Physics. 36(8). 3607–3618. 66 indexed citations
15.
Retico, Alessandra, Maria Evelina Fantacci, Ilaria Gori, et al.. (2009). Pleural nodule identification in low-dose and thin-slice lung computed tomography. Computers in Biology and Medicine. 39(12). 1137–1144. 29 indexed citations
16.
Calvini, P., A. Chincarini, G. Gemme, et al.. (2009). Automatic analysis of medial temporal lobe atrophy from structural MRIs for the early assessment of Alzheimer disease. Medical Physics. 36(8). 3737–3747. 29 indexed citations
17.
Bellotti, R., Francesco De Carlo, G. Gargano, et al.. (2007). A CAD system for nodule detection in low‐dose lung CTs based on region growing and a new active contour model. Medical Physics. 34(12). 4901–4910. 88 indexed citations
18.
Tangaro, Sabina, Francesco De Carlo, G. Gargano, et al.. (2006). Mass lesion detection in mammographic images using Haralik textural features. UNICA IRIS Institutional Research Information System (University of Cagliari). 429–434. 1 indexed citations
19.
Bottigli, U., Bruno Golosio, Giovanni Luca Masala, et al.. (2005). DISSIMILARITY APPLICATION FOR MEDICAL IMAGING CLASSIFICATION. Nova Science Publishers (Nova Science Publishers, Inc.). 2 indexed citations
20.
Fauci, F., G. Raso, R. Magro, et al.. (2005). A massive lesion detection algorithm in mammography. Physica Medica. 21(1). 23–30. 12 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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