L. Di Noto

2.9k total citations
11 papers, 20 citations indexed

About

L. Di Noto is a scholar working on Nuclear and High Energy Physics, Mechanics of Materials and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, L. Di Noto has authored 11 papers receiving a total of 20 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Nuclear and High Energy Physics, 5 papers in Mechanics of Materials and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in L. Di Noto's work include Neutrino Physics Research (5 papers), Muon and positron interactions and applications (5 papers) and Particle Detector Development and Performance (3 papers). L. Di Noto is often cited by papers focused on Neutrino Physics Research (5 papers), Muon and positron interactions and applications (5 papers) and Particle Detector Development and Performance (3 papers). L. Di Noto collaborates with scholars based in Italy, United States and Switzerland. L. Di Noto's co-authors include S. Mariazzi, G. Nebbia, R.S. Brusa, S. Zavatarelli, D. Krasnický, G. Testera, V. Lagomarsino, C. Carraro, C. Canali and M. Pallavicini and has published in prestigious journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, IEEE Transactions on Applied Superconductivity and International Journal of Modern Physics A.

In The Last Decade

L. Di Noto

8 papers receiving 20 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
L. Di Noto Italy	3	12	9	9	6	4	11	20
F. Guatieri Germany	3	15 1.3×	10 1.1×	7 0.8×	8 1.3×	2 0.5×	8	18
O. Maev Russia	2	8 0.7×	3 0.3×	14 1.6×	5 0.8×	3 0.8×	5	20
V. P. Volnykh Russia	4	9 0.8×	20 2.2×	9 1.0×	3 0.5×	4 1.0×	5	24
E. Litherland–Smith United Kingdom	3	4 0.3×	8 0.9×	9 1.0×	5 0.8×	3 0.8×	4	16
K. Matsuzawa Japan	2	14 1.2×	19 2.1×	8 0.9×	4 0.7×	1 0.3×	5	26
A. H. Abdelhameed Germany	4	9 0.8×	6 0.7×	8 0.9×	10 1.7×	2 0.5×	6	25
L. C. Lu China	2	8 0.7×	9 1.0×	13 1.4×	2 0.3×		2	15
B. Howard United States	2	7 0.6×	6 0.7×	8 0.9×	4 0.7×	3 0.8×	3	24
Owen Johns United States	2	6 0.5×	4 0.4×	11 1.2×	2 0.3×	2 0.5×	6	17

Countries citing papers authored by L. Di Noto

Since Specialization

Citations

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

Fields of papers citing papers by L. Di Noto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. Di Noto. 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 L. Di Noto. The network helps show where L. Di Noto may publish in the future.

Co-authorship network of co-authors of L. Di Noto

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

All Works

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11 of 11 papers shown

Noto, L. Di. (2024). First results from the ICARUS experiment at the Short Baseline Neutrino Program. 181–181. 1 indexed citations

Campani, A., et al.. (2024). Track vs Shower Discrimination in the Event Reconstruction of the ICARUS Experiment. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

Bersani, A., A. Bross, B. Caiffi, et al.. (2022). A Complete Magnetic Design and Improved Mechanical Project for the DUNE ND-GAr Solenoid Magnet. IEEE Transactions on Applied Superconductivity. 32(6). 1–4.

Bersani, A., A. Bross, B. Caiffi, et al.. (2021). A Solenoid With Partial Yoke for the Dune Near Detector. IEEE Transactions on Applied Superconductivity. 31(5). 1–4. 1 indexed citations

Caminata, A., et al.. (2018). Search for geo-neutrinos and rare nuclear processes with Borexino. International Journal of Modern Physics A. 33(9). 1843009–1843009. 1 indexed citations

Papp, L., M. Agostini, K. Altenmüller, et al.. (2015). A high precision calorimeter for the SOX experiment. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 824. 699–700.

Mariazzi, S., L. Di Noto, G. Nebbia, & R.S. Brusa. (2015). Collisional cooled Ps emitted into vacuum from silica-based porous materials: experiment to measure the Ps cooling time. Journal of Physics Conference Series. 618. 12039–12039. 3 indexed citations

Brusa, R.S., L. Di Noto, S. Mariazzi, & G. Nebbia. (2014). Positronium cooling at cryogenic temperature for advanced experiments. Journal of Physics Conference Series. 505. 12038–12038. 2 indexed citations

Penasa, L., et al.. (2014). Positron bunching system for producing positronium clouds into vacuum. Journal of Physics Conference Series. 505. 12031–12031. 2 indexed citations

10.

Noto, L. Di, et al.. (2012). Time of Flight system to investigate positronium cooling. The European Physical Journal D. 66(5). 6 indexed citations

11.

Canali, C., C. Carraro, D. Krasnický, et al.. (2011). Off-axial plasma displacement suitable for antihydrogen production in AEgIS experiment. The European Physical Journal D. 65(3). 499–504. 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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