V. De Leo

1.8k total citations
23 papers, 128 citations indexed

About

V. De Leo is a scholar working on Nuclear and High Energy Physics, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics. According to data from OpenAlex, V. De Leo has authored 23 papers receiving a total of 128 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Nuclear and High Energy Physics, 5 papers in Atomic and Molecular Physics, and Optics and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in V. De Leo's work include Particle Detector Development and Performance (8 papers), Particle physics theoretical and experimental studies (7 papers) and Nuclear physics research studies (5 papers). V. De Leo is often cited by papers focused on Particle Detector Development and Performance (8 papers), Particle physics theoretical and experimental studies (7 papers) and Nuclear physics research studies (5 papers). V. De Leo collaborates with scholars based in Italy, Russia and Uzbekistan. V. De Leo's co-authors include A. Lai, Alessandro Chessa, F. Curciarello, C. Deplano, S. Cadeddu, G. Fazio, G. Mandaglio, G. Giardina, Mario Mureddu and A. K. Nasirov and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

V. De Leo

22 papers receiving 123 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. De Leo Italy 7 66 25 24 20 19 23 128
A. Gheaţă Switzerland 5 56 0.8× 8 0.3× 7 0.3× 31 1.6× 10 0.5× 13 89
C. Kleinwort Germany 5 86 1.3× 8 0.3× 25 1.0× 40 2.0× 6 0.3× 9 97
S. Straulino Italy 6 42 0.6× 20 0.8× 15 0.6× 15 0.8× 13 0.7× 20 113
S. Braibant Italy 6 64 1.0× 27 1.1× 15 0.6× 9 0.5× 20 1.1× 12 123
Y. Okumura Japan 5 78 1.2× 44 1.8× 6 0.3× 5 0.3× 12 0.6× 18 97
A. Zoccoli Italy 6 71 1.1× 5 0.2× 8 0.3× 18 0.9× 33 1.7× 14 113
M. Keil Germany 8 56 0.8× 16 0.6× 48 2.0× 30 1.5× 82 4.3× 23 154
K. Sumorok United States 7 116 1.8× 10 0.4× 5 0.2× 11 0.6× 18 0.9× 13 134
H. Beker Türkiye 6 42 0.6× 26 1.0× 28 1.2× 15 0.8× 47 2.5× 18 92
Simon Fayer United Kingdom 5 45 0.7× 6 0.2× 7 0.3× 10 0.5× 17 0.9× 11 68

Countries citing papers authored by V. De Leo

Since Specialization
Citations

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

Fields of papers citing papers by V. De Leo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. De Leo. 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 V. De Leo. The network helps show where V. De Leo may publish in the future.

Co-authorship network of co-authors of V. De Leo

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

All Works

20 of 20 papers shown
1.
Cordella, F., Mauro Cappelli, Marco Ciotti, et al.. (2024). Genetic algorithm for multilayer shield optimization with a custom parallel computing architecture. The European Physical Journal Plus. 139(2). 4 indexed citations
2.
Cadeddu, Andrea, Alessandro Chessa, V. De Leo, et al.. (2024). Optimizing Tourism Accommodation Offers by Integrating Language Models and Knowledge Graph Technologies. Information. 15(7). 398–398. 4 indexed citations
3.
Cadeddu, Andrea, Alessandro Chessa, V. De Leo, et al.. (2024). A comparative analysis of knowledge injection strategies for large language models in the scholarly domain. Engineering Applications of Artificial Intelligence. 133. 108166–108166. 9 indexed citations
4.
Claps, G., Gian Marco Contessa, A. Pietropaolo, et al.. (2023). Thermal neutron detection by means of Timepix3. The European Physical Journal Plus. 138(11).
5.
Leo, V. De, et al.. (2023). Topic detection with recursive consensus clustering and semantic enrichment. Humanities and Social Sciences Communications. 10(1). 4 indexed citations
6.
Scordo, A., V. De Leo, C. Curceanu, Marco Miliucci, & F. Sirghi. (2021). Efficiency measurements and simulations of a HAPG based Von Hamos spectrometer for large sources. Journal of Analytical Atomic Spectrometry. 36(11). 2485–2491. 2 indexed citations
7.
Grande, R. Del, M. Cargnelli, C. Curceanu, et al.. (2020). Total branching ratio of the K − two-nucleon absorption in 12 C. Physica Scripta. 95(8). 84012–84012. 1 indexed citations
8.
Leo, V. De. (2015). Measurement of Hadronic Cross Section at KLOE/KLOE-2. Acta Physica Polonica B. 46(1). 45–45. 1 indexed citations
9.
Cao, X. G., et al.. (2014). Role of wave packet width in quantum molecular dynamics in fusion reactions near barrier. Journal of Physics Conference Series. 515. 12023–12023. 4 indexed citations
10.
Leo, V. De, et al.. (2013). Community core detection in transportation networks. Physical Review E. 88(4). 42810–42810. 17 indexed citations
11.
Leo, V. De, et al.. (2012). Spatial Correlations in Attribute Communities. PLoS ONE. 7(5). e37507–e37507. 10 indexed citations
12.
Mandaglio, G., A. K. Nasirov, F. Curciarello, et al.. (2012). Processes in massive nuclei reactions and the way to complete fusion of reactants. What perspectives for the synthesis of heavier superheavy elements?. SHILAP Revista de lepidopterología. 38. 1001–1001. 9 indexed citations
13.
Curciarello, F., V. De Leo, G. Fazio, & G. Mandaglio. (2011). The abrupt changes in the yellowed fibril density in the Linen of Turin. Radiation effects and defects in solids. 167(3). 224–228. 6 indexed citations
14.
Giardina, G., A. K. Nasirov, G. Mandaglio, et al.. (2011). Investigation on the quasifission process by theoretical analysis of experimental data of fissionlike reaction products. Journal of Physics Conference Series. 282. 12006–12006. 11 indexed citations
15.
Leo, V. De, et al.. (2010). The SYNC Chip in the Electronics Architecture of the LHCb Muon Detector. IEEE Transactions on Nuclear Science. 57(5). 2790–2797. 6 indexed citations
16.
Cadeddu, S., V. De Leo, C. Deplano, & A. Lai. (2008). Instruments and procedures for time calibration of the LHCb muon detector. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 589(3). 404–414. 1 indexed citations
17.
Cadeddu, S., et al.. (2006). Time Calibration of the LHCb Muon System. 2006 IEEE Nuclear Science Symposium Conference Record. 1286–1289. 1 indexed citations
18.
Cadeddu, S., et al.. (2005). The SYNC chip in the front-end electronics of the LHCb muon detector. IEEE Symposium Conference Record Nuclear Science 2004.. 3. 1386–1390. 6 indexed citations
19.
Cadeddu, S., V. De Leo, C. Deplano, & A. Lai. (2004). DIALOG and SYNC: a VLSI chip set for timing of the LHCb muon detector. IEEE Transactions on Nuclear Science. 51(5). 1961–1967. 13 indexed citations
20.
Cadeddu, S., V. De Leo, C. Deplano, & A. Lai. (2003). DIALOG: an ASIC for timing of the LHCb muon detector. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 518(1-2). 486–490. 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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