S. Dusini

38.3k total citations
19 papers, 68 citations indexed

About

S. Dusini is a scholar working on Nuclear and High Energy Physics, Instrumentation and Artificial Intelligence. According to data from OpenAlex, S. Dusini has authored 19 papers receiving a total of 68 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Nuclear and High Energy Physics, 2 papers in Instrumentation and 2 papers in Artificial Intelligence. Recurrent topics in S. Dusini's work include Particle physics theoretical and experimental studies (12 papers), Neutrino Physics Research (11 papers) and Particle Detector Development and Performance (9 papers). S. Dusini is often cited by papers focused on Particle physics theoretical and experimental studies (12 papers), Neutrino Physics Research (11 papers) and Particle Detector Development and Performance (9 papers). S. Dusini collaborates with scholars based in Italy, France and Japan. S. Dusini's co-authors include L. Stančo, F. Terranova, E. Carrara, F. Dal Corso, F. Grianti, M. Ventura, Antonio Bergnoli, Francesca Benini, P. Monacelli and Lodovico Parmegiani and has published in prestigious journals such as Human Reproduction, Journal of High Energy Physics and Physical review. D.

In The Last Decade

S. Dusini

17 papers receiving 62 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Dusini Italy 5 39 11 10 5 4 19 68
N. De Groot Netherlands 5 31 0.8× 4 0.4× 8 1.6× 10 51
L. H. Mason France 4 28 0.7× 2 0.2× 6 1.2× 7 46
A. Annovi Italy 3 37 0.9× 4 0.8× 6 40
M. Krzewicki Germany 2 40 1.0× 3 0.6× 3 51
B. Scurlock United States 3 24 0.6× 6 1.2× 5 27
Miroslav Virius Czechia 4 27 0.7× 3 0.6× 15 35
C. Gaspar Switzerland 2 26 0.7× 3 0.6× 4 32
L. Tompkins United States 3 34 0.9× 4 0.8× 7 44
M. Matveev United States 4 28 0.7× 2 0.4× 13 35
D. A. Scannicchio United States 4 45 1.2× 5 1.0× 11 58

Countries citing papers authored by S. Dusini

Since Specialization
Citations

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

Fields of papers citing papers by S. Dusini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Dusini

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

All Works

19 of 19 papers shown
1.
Cabrera, A., Yang Han, S. Calvez, et al.. (2024). Multi-calorimetry in light-based neutrino detectors. Journal of High Energy Physics. 2024(12). 1 indexed citations
2.
Ligori, S., L. Corcione, V. Capobianco, et al.. (2020). The application software for the instrument control unit of the NISP instrument of the Euclid mission: final status and lessons learned after delivery of the flight version. CINECA IRIS Institutial Research Information System (University of Genoa). 71–71.
3.
Mauri, N., S. Dusini, F. Fornari, et al.. (2020). The Euclid Near Infrared Spectro-Photometer (NISP) instrument and science. Journal of Physics Conference Series. 1342(1). 12122–12122. 1 indexed citations
4.
Grassi, M., et al.. (2018). Neutrino-antineutrino identification in a liquid scintillator detector: Towards a novel decay-at-rest-based neutrino CPV framework. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 936. 561–562. 1 indexed citations
5.
Rienzi, Laura, Elena Albani, Francesca Benini, et al.. (2017). Comprehensive protocol of traceability during IVF: the result of a multicentre failure mode and effect analysis. Human Reproduction. 32(8). 1612–1620. 21 indexed citations
6.
Stančo, L., S. Dusini, & M. Tenti. (2017). Determination of the neutrino mass hierarchy with a new statistical method. Physical review. D. 95(5). 4 indexed citations
7.
Dusini, S., A. Longhin, M. Mezzetto, et al.. (2013). CP violation and mass hierarchy at medium baselines in the large θ 13 era. The European Physical Journal C. 73(4). 5 indexed citations
8.
Stančo, L., et al.. (2013). An Appraisal of Muon Neutrino Disappearance at Short Baseline. Advances in High Energy Physics. 2013. 1–11. 1 indexed citations
9.
Bergnoli, Antonio, A. Bertolin, R. Brugnera, et al.. (2012). The OPERA RPCs front end electronics; a novel application of LVDS line receiver as low cost discriminator. Journal of Instrumentation. 7(11). P11007–P11007. 1 indexed citations
10.
Bergnoli, Antonio, A. Bertolin, R. Brugnera, et al.. (2008). The OPERA Spectrometer Slow Control System. IEEE Transactions on Nuclear Science. 55(1). 349–355. 6 indexed citations
11.
Bazzi, M., G. Corradi, G. Felici, et al.. (2007). The I-meter, a distributor unit for the OPERA RPC HV system. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 580(3). 1441–1445. 1 indexed citations
12.
Candela, A., E. Carrara, M. D’Incecco, et al.. (2007). Glass resistive plate chambers in the OPERA experiment. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 581(1-2). 206–208. 1 indexed citations
13.
Bergnoli, Antonio, R. Brugnera, A. Candela, et al.. (2004). Long-term operation test of RPCs for the OPERA experiment. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 533(1-2). 42–45. 4 indexed citations
14.
Ambrosio, M., R. Brugnera, S. Dusini, et al.. (2004). The OPERA magnetic spectrometer. IEEE Transactions on Nuclear Science. 51(3). 975–979. 8 indexed citations
15.
Dusini, S., et al.. (2003). The DAQ system of OPERA experiment and its specifications for the spectrometers. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 518(1-2). 519–521. 1 indexed citations
16.
Dusini, S.. (2002). Single top production and FCNC processes. Nuclear Physics B - Proceedings Supplements. 109(2-3). 262–265. 1 indexed citations
17.
Sidoti, A., P. Azzi, G. Busetto, et al.. (2001). Investigation of t in the full hadronic final state at CDF with a neural network approach. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 466(3). 538–550. 1 indexed citations
18.
Dusini, S., et al.. (1998). Searching the Higgs with the neurochip Totem. Nuclear Physics B - Proceedings Supplements. 65(1-3). 320–323. 2 indexed citations
19.
Maggipinto, T., G. Nardulli, S. Dusini, et al.. (1997). ROLE OF NEURAL NETWORKS IN THE SEARCH OF THE HIGGS BOSON AT LHC. 8 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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