R. Sparvoli

11.5k total citations
33 papers, 181 citations indexed

About

R. Sparvoli is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Geophysics. According to data from OpenAlex, R. Sparvoli has authored 33 papers receiving a total of 181 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Astronomy and Astrophysics, 15 papers in Nuclear and High Energy Physics and 6 papers in Geophysics. Recurrent topics in R. Sparvoli's work include Solar and Space Plasma Dynamics (11 papers), Dark Matter and Cosmic Phenomena (11 papers) and Particle Detector Development and Performance (10 papers). R. Sparvoli is often cited by papers focused on Solar and Space Plasma Dynamics (11 papers), Dark Matter and Cosmic Phenomena (11 papers) and Particle Detector Development and Performance (10 papers). R. Sparvoli collaborates with scholars based in Italy, Russia and Germany. R. Sparvoli's co-authors include P. Picozza, M. Casolino, Livio Narici, D. Del Moro, F. Berrilli, V. Zaconte, Luca Di Fino, Marianna Larosa, M. Stangalini and A. Morselli and has published in prestigious journals such as Remote Sensing, Applied Sciences and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

R. Sparvoli

26 papers receiving 179 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Sparvoli Italy 6 138 54 46 34 19 33 181
L. X. González Mexico 7 119 0.9× 50 0.9× 27 0.6× 24 0.7× 19 1.0× 32 144
B. Yu. Yushkov Russia 9 232 1.7× 35 0.6× 34 0.7× 11 0.3× 16 0.8× 42 244
B. Blake United States 5 212 1.5× 92 1.7× 15 0.3× 17 0.5× 22 1.2× 11 231
N. Katz United States 5 222 1.6× 35 0.6× 14 0.3× 11 0.3× 14 0.7× 8 245
Jan Gieseler Finland 12 367 2.7× 16 0.3× 82 1.8× 21 0.6× 39 2.1× 25 394
V. G. Kurt Russia 11 392 2.8× 28 0.5× 46 1.0× 9 0.3× 39 2.1× 31 410
S. Torii Japan 11 135 1.0× 30 0.6× 172 3.7× 10 0.3× 22 1.2× 66 280
Yu. I. Logachëv Russia 10 403 2.9× 46 0.9× 31 0.7× 6 0.2× 34 1.8× 118 422
R. B. Decker United States 12 479 3.5× 25 0.5× 72 1.6× 18 0.5× 25 1.3× 42 493
V. G. Kurt Russia 10 322 2.3× 35 0.6× 30 0.7× 8 0.2× 15 0.8× 31 328

Countries citing papers authored by R. Sparvoli

Since Specialization
Citations

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

Fields of papers citing papers by R. Sparvoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Sparvoli

This figure shows the co-authorship network connecting the top 25 collaborators of R. Sparvoli. A scholar is included among the top collaborators of R. Sparvoli 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 R. Sparvoli. R. Sparvoli 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.
Benella, Simone, Monica Laurenza, Christina Plainaki, M. Martucci, & R. Sparvoli. (2023). A comprehensive study of solar energetic particle propagation during the first ground-level enhancement of the solar cycle 24. Proceedings Of Science. 1350–1350.
2.
Piersanti, Mirko, R. Battiston, V. Carbone, et al.. (2022). Haiti Earthquake (Mw 7.2): Magnetospheric–Ionospheric–Lithospheric Coupling during and after the Main Shock on 14 August 2021. Remote Sensing. 14(21). 5340–5340. 5 indexed citations
3.
Sparvoli, R. & M. Martucci. (2022). Advances in the Research on Cosmic Rays and Their Impact on Human Activities. Applied Sciences. 12(7). 3459–3459. 1 indexed citations
4.
Berrilli, F., M. Casolino, D. Del Moro, et al.. (2019). Introducing SWERTO: A regional space weather service. Cineca Institutional Research Information System (Tor Vergata University). 42. 47. 3 indexed citations
5.
Leonov, A., A. M. Galper, N. P. Topchiev, et al.. (2019). Multiple Coulomb scattering method to reconstruct low-energy gamma–ray direction in the GAMMA-400 space-based gamma–ray telescope. Advances in Space Research. 63(10). 3420–3427. 3 indexed citations
6.
Conti, L., G. Ambrosi, R. Battiston, et al.. (2018). Study of the correlations between precipitating Van-Allen particles and seismic events: the methodology and the HEPD particle detector of CSES satellite.. EGU General Assembly Conference Abstracts. 17098.
7.
Berrilli, F., M. Casolino, D. Del Moro, et al.. (2017). SWERTO: a Regional Space Weather Service. Proceedings of the International Astronomical Union. 13(S335). 348–351. 5 indexed citations
8.
Sparvoli, R.. (2016). The High Energy Particle Detector on board the CSES China Seismo-Electromagnetic satellite. Proceedings of The 34th International Cosmic Ray Conference — PoS(ICRC2015). 567–567. 1 indexed citations
9.
Sparvoli, R.. (2015). RECENT RESULTS FROM THE SPACE EXPERIMENT PAMELA. 216–221.
10.
Sparvoli, R.. (2013). Direct measurements of cosmic rays in space. Nuclear Physics B - Proceedings Supplements. 239-240. 115–122. 5 indexed citations
11.
Sparvoli, R.. (2013). Direct measurements of cosmic rays in space. EPJ Web of Conferences. 52. 8001–8001.
12.
Picozza, P. & R. Sparvoli. (2011). Understanding cosmic rays and searching for exotic sources with PAMELA. Florence Research (University of Florence). 7(2). 85–91. 2 indexed citations
13.
Campana, D., R. Carbone, G. De Rosa, et al.. (2008). Capability of the PAMELA Time-Of-Flight to identify light nuclei: Results from a beam test calibration. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 598(3). 696–701. 4 indexed citations
14.
Leonov, A., J. Cabrera, P. Leleux, et al.. (2007). The measurements of light high-energy ions in NINA-2 experiment. Annales Geophysicae. 25(9). 2029–2036. 2 indexed citations
15.
Sparvoli, R., V. Malvezzi, L. Grishantseva, et al.. (2006). Capability of the PAMELA instrument to identify light-nuclei: results from a beam test calibration. 1 indexed citations
16.
Sparvoli, R.. (2004). Particle Astrophysics with the Pamela experiment. 35. 283.
17.
Galper, A. M., A. Popov, V. G. Zverev, et al.. (1996). Sileye on Mir - First active detector for the study of light flashes in space. 390(390). 159–164.
18.
Borisyuk, Roman, M. Casolino, M. P. De Pascale, et al.. (1996). Gamma-ray energy determination using neural network algorithms for an imaging silicon calorimeter. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 381(2-3). 512–516. 2 indexed citations
19.
Candusso, M., M. Casolino, Marco De Pascale, et al.. (1995). Neural networks with stochastic preprocessing for particle recognition in cosmic ray experiments. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 360(1-2). 371–374. 4 indexed citations
20.
Barbiellini, G., M. Boezio, M. Candusso, et al.. (1995). A wide aperture telescope for high energy gamma rays detection. Nuclear Physics B - Proceedings Supplements. 43(1-3). 253–256. 3 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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