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

Peers

P. Cerello
Comparison fields: 5 of 93
  • Radiology, Nuclear Medicine and Imaging 606
  • Pulmonary and Respiratory Medicine 523
  • Radiation 261
  • Artificial Intelligence 164
  • Computer Vision and Pattern Recognition 129
Replace Maria Evelina Fantacci with:
Maria Evelina Fantacci Italy
Michele Larobina Italy
Donald J. Peck United States
Joyita Dutta United States
P. Hendrik Pretorius United States
Yongfeng Yang China
Carole Lartizien France
Jérôme Declerck United Kingdom
Zikuan Chen United States
Chen Zu China
Maria Evelina Fantacci Italy View profile →
Citations per field, relative to P. Cerello
P. Cerello · 1×
Citations per year, relative to P. Cerello
P. Cerello · 1×

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
# Work Indexed citations
1 0
2 0
3 4
4 26
5 6
6 32
7 12
8 7
9 19
10 2
11 141
12 46
13 29
14 66
15 88
16
Mass lesion detection in mammographic images using Haralik textural features
1
17
DISSIMILARITY APPLICATION FOR MEDICAL IMAGING CLASSIFICATION
2
18 12
19 2
20 2

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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