P. Cerello

25.8k citations
89 papers · 1.2k · h-index 17

Impact in

Papers in

P. Cerello

81 papers receiving 1.1k citations

Peers

P. Cerello
Comparison fields: 5 of 93
  • Radiation 259
  • Radiology, Nuclear Medicine and Imaging 538
  • Pulmonary and Respiratory Medicine 519
  • Neurology 108
  • Nuclear and High Energy Physics 107
Replace Maria Evelina Fantacci with:
Maria Evelina Fantacci Italy
Dong Liang China
Michele Larobina Italy
Donald J. Peck United States
Yves D’Asseler Belgium
P. Hendrik Pretorius United States
Yongfeng Yang China
Carole Lartizien France
Chen Zu China
Benjamin A. Thomas United Kingdom
P. Cerello relative to Maria Evelina Fantacci Italy Maria Evelina Fantacci's profile →
Citations per field
00.5×1.7×
Maria Evelina Fantacci · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011156
2 201594
3 200791
4 200973
5 200970
6 201150
7 201442
8 201833
9 200933
10 200930
11 200129
12 201928
13 201827
14 201727
15 201619
16 201319
17 200918
18 200515
19 201814
20 201214

About P. Cerello

P. Cerello is a scholar working on Radiation, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Nuclear and High Energy Physics and Electrical and Electronic Engineering, having authored 89 papers that have together received 1.2k indexed citations. Recurring topics across this work include Radiation Detection and Scintillator Technologies (32 papers), Medical Imaging Techniques and Applications (24 papers), Radiation Therapy and Dosimetry (20 papers), Particle Detector Development and Performance (17 papers), Lung Cancer Diagnosis and Treatment (15 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), Advanced Radiotherapy Techniques (10 papers) and AI in cancer detection (9 papers). The work is most often cited by research in Radiation (259 citations), Radiology, Nuclear Medicine and Imaging (538 citations), Pulmonary and Respiratory Medicine (519 citations), Neurology (108 citations) and Nuclear and High Energy Physics (107 citations). P. Cerello has collaborated with scholars based in Italy, Cuba and Switzerland. Frequent co-authors include Maria Evelina Fantacci, R. Bellotti, Alessandra Retico, Elisa Fiorina, N. Camarlinghi, F. Pennazio, I. De Mitri, Paolo Bosco, A. Chincarini and S. Squarcia. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Medical Physics, Journal of Instrumentation, Physics in Medicine and Biology and IEEE Transactions on Radiation and Plasma Medical Sciences.

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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