G. Piacquadio

9.0k citations
7 papers · 19 indexed · h-index 3

G. Piacquadio

4 papers receiving 19 citations

Peers

G. Piacquadio
Comparison fields: 5 of 7
  • Nuclear and High Energy Physics 18
  • Radiology, Nuclear Medicine and Imaging 3
  • Statistical and Nonlinear Physics 1
  • Computational Theory and Mathematics 1
  • Artificial Intelligence 2
Replace A. Alfonso Albero with:
A. Alfonso Albero United Kingdom
T. Todorov
P. Azzurri Italy
G. Dujany United Kingdom
J. M. Otalora Goicochea Switzerland
M. H. Schune France
D. Nguyen United States
R. Jansky Austria
L. Benato Germany
N. Skidmore United Kingdom
G. Piacquadio relative to A. Alfonso Albero United Kingdom A. Alfonso Albero's profile →
Citations per field
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A. Alfonso Albero · 1×
Citations per year

Countries citing papers authored by G. Piacquadio

Since Specialization
Citations

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

Fields of papers citing papers by G. Piacquadio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 24 scholars most cited alongside G. Piacquadio, 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 G. Piacquadio Line = papers co-authored together G. Piacquadio links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Optimisation of the ATLAS $b$-tagging performance for the 2016 LHC Run
201613
2 20130
3
Search for the Standard Model Higgs boson produced in association with a vector boson and decaying to a b-quark pair with the ATLAS detector at the LHC
20120
4 20110
5
Identification of b-jets and investigation of the discovery potential of a Higgs boson in the $WH --> l \nu b \bar{b}$ channel with the ATLAS experiment
20103
6 20081
7 20082

About G. Piacquadio

G. Piacquadio is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Computer Networks and Communications, having authored 7 papers that have together received 19 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (5 papers), Particle Detector Development and Performance (5 papers), Computational Physics and Python Applications (3 papers), Medical Imaging Techniques and Applications (2 papers), Distributed and Parallel Computing Systems (1 paper), Dark Matter and Cosmic Phenomena (1 paper), GNSS positioning and interference (1 paper) and Advanced Data Storage Technologies (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (18 citations), Radiology, Nuclear Medicine and Imaging (3 citations) and Statistical and Nonlinear Physics (1 citation). G. Piacquadio has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent co-authors include V. V. Kostyukhin, A. Wildauer, F. A. Di Bello, G. Gilles, L. Vacavant, M. Battaglia, A. Miucci, R. J. Hawkings, K. Prokofiev and M. Ghneimat.

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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