F. Conventi

12.1k total citations
9 papers, 35 citations indexed

About

F. Conventi is a scholar working on Nuclear and High Energy Physics, Radiation and Infectious Diseases. According to data from OpenAlex, F. Conventi has authored 9 papers receiving a total of 35 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Nuclear and High Energy Physics, 4 papers in Radiation and 1 paper in Infectious Diseases. Recurrent topics in F. Conventi's work include Particle Detector Development and Performance (7 papers), Particle physics theoretical and experimental studies (5 papers) and Radiation Detection and Scintillator Technologies (4 papers). F. Conventi is often cited by papers focused on Particle Detector Development and Performance (7 papers), Particle physics theoretical and experimental studies (5 papers) and Radiation Detection and Scintillator Technologies (4 papers). F. Conventi collaborates with scholars based in Italy, Denmark and China. F. Conventi's co-authors include Giacomo Cacciapaglia, Francesco Sannino, Stefan Hohenegger, Corentin Cot, C. Di Donato, Andrea Buono, G. Carlino, G. Sekhniaidze, S. Patricelli and M. Della Pietra and has published in prestigious journals such as Scientific Reports, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and IEEE Transactions on Nuclear Science.

In The Last Decade

F. Conventi

6 papers receiving 32 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
F. Conventi Italy 4 12 10 8 7 6 9 35
T. Cornelissen United States 5 28 2.3× 7 0.7× 5 0.6× 5 0.7× 6 1.0× 9 62
Lucas Kang China 4 10 0.8× 5 0.5× 3 0.4× 6 1.0× 7 27
Alexis Lefèvre Australia 6 4 0.3× 8 0.8× 4 0.5× 12 82
A. Iuliano Italy 3 7 0.6× 6 0.6× 3 0.4× 5 0.8× 6 17
J. Joshi India 5 19 1.6× 3 0.3× 3 0.4× 14 2.3× 10 59
C. Scarlett United States 3 14 1.2× 2 0.2× 7 0.9× 12 2.0× 8 32
D. Paesani Italy 5 30 2.5× 10 1.0× 2 0.3× 17 2.8× 12 51
Matthew Hutton United States 4 12 1.0× 8 1.0× 3 0.5× 7 24
D. Moraru Romania 5 6 0.5× 2 0.2× 6 0.8× 10 47
J. A. García-González Mexico 3 6 0.5× 11 1.1× 5 0.6× 10 29

Countries citing papers authored by F. Conventi

Since Specialization
Citations

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

Fields of papers citing papers by F. Conventi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Conventi

This figure shows the co-authorship network connecting the top 25 collaborators of F. Conventi. A scholar is included among the top collaborators of F. Conventi 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 F. Conventi. F. Conventi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Cot, Corentin, et al.. (2022). Variant-driven early warning via unsupervised machine learning analysis of spike protein mutations for COVID-19. Scientific Reports. 12(1). 9275–9275. 16 indexed citations
2.
Minutillo, Mariagiovanna, Maurizio Migliaccio, Elio Jannelli, et al.. (2018). Hydrogen-based hybrid power unit for light vehicles: Assessment of energy performance and radiated electromagnetic emissions. CINECA IRIS Institutial research information system (Parthenope University of Naples). 41(6). 225. 6 indexed citations
3.
Aloisio, A., G. Carlino, F. Conventi, et al.. (2006). The Muon Spectrometer Barrel Level-1 Trigger of the ATLAS Experiment at LHC. IEEE Transactions on Nuclear Science. 53(4). 2446–2451. 3 indexed citations
4.
Pastore, F., R. Vari, S. Veneziano, et al.. (2006). The ATLAS Level-1 Barrel Muon Trigger Performances. 1. 608–611. 1 indexed citations
5.
Carlino, G., F. Conventi, V. Izzo, et al.. (2005). The RPC Level-1 muon trigger of the ATLAS experiment at the LHC. CERN Bulletin. 16. 4 pp.–4 pp.. 1 indexed citations
6.
Carlino, G., F. Conventi, V. Bocci, et al.. (2004). The ATLAS RPC Level-1 muon trigger: design and simulation. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 533(1-2). 188–192. 1 indexed citations
7.
Alviggi, M. G., M. Caprio, G. Carlino, et al.. (2003). Results of long-term performance and subsequent laboratory tests of RPCs of the L3 forward–backward muon spectrometer. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 508(1-2). 159–165.
8.
Alviggi, M. G., G. Carlino, F. Conventi, et al.. (2003). Results on long-term performances and laboratory tests of the L3 RPC system at LEP. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 515(1-2). 328–334. 3 indexed citations
9.
Alviggi, M. G., V. Canale, M. Caprio, et al.. (2003). Cosmic ray test station for ATLAS RPC. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 508(1-2). 124–127. 4 indexed citations

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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