P. Giannetti

103.4k citations
69 papers · 376 · h-index 9

Impact in

Papers in

P. Giannetti

57 papers receiving 362 citations

Peers

P. Giannetti
Comparison fields: 5 of 51
  • Nuclear and High Energy Physics 191
  • Hardware and Architecture 83
  • Radiation 52
  • Computer Networks and Communications 113
  • Clinical Psychology 63
Replace M. Dell’Orso with:
M. Dell’Orso Italy
Francesco Simula Italy
R. Merkel Germany
G. Punzi Italy
David Arnow United States
K. Krüger Germany
S. Schmeling Switzerland
F. Nabais United Kingdom
Matthias Marx Germany
David Kagan United States
P. Giannetti relative to M. Dell’Orso Italy M. Dell’Orso's profile →
Citations per field
00.5×2×4×6×7.3×
M. Dell’Orso · 1×
Citations per year

Countries citing papers authored by P. Giannetti

Since Specialization
Citations

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

Fields of papers citing papers by P. Giannetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200679
2 200631
3
Fast TracKer (FTK) Technical Design Report
201329
4 198818
5 201115
6 199512
7 201110
8 20169
9 20019
10 20128
11 19988
12 20148
13 19887
14 19867
15 20106
16 19966
17 20166
18 20066
19 20176
20 19905

About P. Giannetti

P. Giannetti is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications, Hardware and Architecture, Electrical and Electronic Engineering and Radiation, having authored 69 papers that have together received 376 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (36 papers), Particle physics theoretical and experimental studies (26 papers), Advanced Data Storage Technologies (18 papers), Radiation Detection and Scintillator Technologies (14 papers), Network Packet Processing and Optimization (12 papers), Parallel Computing and Optimization Techniques (11 papers), Algorithms and Data Compression (10 papers) and CCD and CMOS Imaging Sensors (7 papers). The work is most often cited by research in Nuclear and High Energy Physics (191 citations), Hardware and Architecture (83 citations), Radiation (52 citations), Computer Networks and Communications (113 citations) and Clinical Psychology (63 citations). P. Giannetti has collaborated with scholars based in Italy, United States and France. Frequent co-authors include M. Dell’Orso, M. J. Shochet, M. Piendibene, M. Volpi, L. Tompkins, G. Volpi, A. Annovi, Alessandro Carano, A. Annovi and Daniela Campanella. Their work appears in journals such as IEEE Transactions on Nuclear Science, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Journal of Instrumentation, Eating Behaviors and Journal of Physics Conference Series.

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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