P. Privitera

11.0k citations
8 papers · 43 indexed · h-index 4

P. Privitera

8 papers receiving 42 citations

Peers

P. Privitera
Comparison fields: 5 of 20
  • Nuclear and High Energy Physics 16
  • Radiation 6
  • Atomic and Molecular Physics, and Optics 21
  • Artificial Intelligence 20
  • History and Philosophy of Science 2
Replace J. M. LoSecco with:
J. M. LoSecco United States
D. Nicotra Italy
K. Piscicchia Italy
E. Wolin United States
G. Terreni Italy
T. Pham United States
Paolo Privitera Germany
P. B. Mackenzie United States
Jackson Nolan United States
Š. Mackovjak Slovakia
P. Privitera relative to J. M. LoSecco United States J. M. LoSecco's profile →
Citations per field
00.5×1.5×
J. M. LoSecco · 1×
Citations per year

Countries citing papers authored by P. Privitera

Since Specialization
Citations

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

Fields of papers citing papers by P. Privitera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

8 of 8 papers shown
#Work
1 20074
2 20031
3 20022
4 20023
5 20015
6
TOTEM, Total cross section, elastic scattering and diffraction dissociation at the LHC : Technical Proposal
19994
7 199223
8 19891

About P. Privitera

P. Privitera is a scholar working on Nuclear and High Energy Physics, Radiation, Atmospheric Science, Computational Mechanics and Astronomy and Astrophysics, having authored 8 papers that have together received 43 indexed citations. Recurring topics across this work include Astrophysics and Cosmic Phenomena (3 papers), Dark Matter and Cosmic Phenomena (3 papers), Astronomical Observations and Instrumentation (2 papers), Atmospheric Ozone and Climate (2 papers), High-Energy Particle Collisions Research (1 paper), Particle Detector Development and Performance (1 paper), Neutrino Physics Research (1 paper) and Superconducting Materials and Applications (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (16 citations), Radiation (6 citations), Atomic and Molecular Physics, and Optics (21 citations), Artificial Intelligence (20 citations) and History and Philosophy of Science (2 citations). P. Privitera has collaborated with scholars based in Italy, Germany and Chile. Frequent co-authors include G. Gallo, G. Matthiae, C. Aramo, F. Bracci, D. Nicotra, G. Raia, E. Kemp, M. Ambrosio, Giacomo Vitali and R. Fonte. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, IEEE Transactions on Nuclear Science, Physics Letters B, Nuclear Physics B - Proceedings Supplements and CERN Bulletin.

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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