P. Cerello

26.5k citations
347 papers · 19.6k · 9 hit papers · h-index 72

Impact in

    • High-Energy Particle Collisions Research
    • Quantum Chromodynamics and Particle Interactions
    • Particle physics theoretical and experimental studies
    • Nuclear physics research studies
    • Particle Detector Development and Performance

Papers in

    • High-Energy Particle Collisions Research 134
    • Quantum Chromodynamics and Particle Interactions 64
    • Particle Detector Development and Performance 55
    • Particle physics theoretical and experimental studies 34
    • Nuclear physics research studies 25
    • Radiation Detection and Scintillator Technologies 20

P. Cerello

338 papers receiving 18.5k citations

P. Cerello's Hit Papers

Enhanced production of multi-strange hadrons in high-multiplicity proton–proton collisions 2017 · 442 citations
4420+6+12Years since publication2505007501k

Peers

P. Cerello
Comparison fields: 5 of 104
  • Nuclear and High Energy Physics 16.2k
  • Health Informatics 112
  • Artificial Intelligence 1.4k
  • Radiation 343
  • Pulmonary and Respiratory Medicine 912
Replace Ernesto Lopez Torres with:
Ernesto Lopez Torres Switzerland
U. Bottigli Italy
Ivan De Mitri Italy
G. Raso Italy
T. Whyntie Austria
V. Cuplov United States
Cristiana Peroni Italy
G. Dedes Germany
S. Benson Switzerland
Alessandro Bartoloni Italy
P. Cerello relative to Ernesto Lopez Torres Switzerland Ernesto Lopez Torres's profile →
Citations per field
00.5×5×10.7×
Ernesto Lopez Torres · 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 347 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge
Hit paper breakdown →
20171007
2
The ALICE experiment at the CERN LHC
Hit paper breakdown →
2008983
3
Elliptic Flow of Charged Particles in Pb-Pb Collisions at s N N = 2.76 TeV
Hit paper breakdown →
2010680
4
Centrality dependence of π , K , and p production in Pb-Pb collisions at s N N = 2.76 TeV
Hit paper breakdown →
2013515
5
Centrality Dependence of the Charged-Particle Multiplicity Density at Midrapidity in Pb-Pb Collisions at sNN=2.76 TeV
Hit paper breakdown →
2011513
6
Higher Harmonic Anisotropic Flow Measurements of Charged Particles in Pb-Pb Collisions at s N N = 2.76 TeV
Hit paper breakdown →
2011504
7
Enhanced production of multi-strange hadrons in high-multiplicity proton–proton collisions
Hit paper breakdown →
2017442
8
Suppression of charged particle production at large transverse momentum in central Pb–Pb collisions at sNN=2.76 TeV
Hit paper breakdown →
2010424
9
Centrality determination of Pb-Pb collisions at s N N = 2.76 TeV with ALICE
Hit paper breakdown →
2013347
10 2010306
11 2013285
12 2005265
13 2013246
14 2010245
15 2010232
16 2010230
17 2013229
18 2011217
19 2013214
20 2016213

About P. Cerello

P. Cerello is a scholar working on Nuclear and High Energy Physics, Radiation, Pulmonary and Respiratory Medicine, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 347 papers that have together received 19.6k indexed citations. Recurring topics across this work include High-Energy Particle Collisions Research (134 papers), Quantum Chromodynamics and Particle Interactions (64 papers), Particle Detector Development and Performance (55 papers), Radiation Therapy and Dosimetry (37 papers), Particle physics theoretical and experimental studies (34 papers), AI in cancer detection (28 papers), Nuclear physics research studies (25 papers) and Radiation Detection and Scintillator Technologies (20 papers). The work is most often cited by research in Nuclear and High Energy Physics (16.2k citations), Health Informatics (112 citations), Artificial Intelligence (1.4k citations), Radiation (343 citations) and Pulmonary and Respiratory Medicine (912 citations). P. Cerello has collaborated with scholars based in Italy, Switzerland and France. Frequent co-authors include Maria Evelina Fantacci, Elisa Fiorina, R. Bellotti, Alessandra Retico, N. Camarlinghi, F. Pennazio, Ernesto Lopez Torres, Ivan De Mitri, Paolo Bosco and Andrea Chincarini. Their work appears in journals such as Physics Letters B, Physical Review Letters, The European Physical Journal C, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and Nuclear Physics A.

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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