M. Boschini

9.2k total citations
42 papers, 501 citations indexed

About

M. Boschini is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Artificial Intelligence. According to data from OpenAlex, M. Boschini has authored 42 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Astronomy and Astrophysics, 17 papers in Nuclear and High Energy Physics and 8 papers in Artificial Intelligence. Recurrent topics in M. Boschini's work include Solar and Space Plasma Dynamics (25 papers), Ionosphere and magnetosphere dynamics (13 papers) and Dark Matter and Cosmic Phenomena (11 papers). M. Boschini is often cited by papers focused on Solar and Space Plasma Dynamics (25 papers), Ionosphere and magnetosphere dynamics (13 papers) and Dark Matter and Cosmic Phenomena (11 papers). M. Boschini collaborates with scholars based in Italy, Slovakia and Sweden. M. Boschini's co-authors include P.G. Rancoita, M. Gervasi, S. Della Torre, G. La Vacca, D. Grandi, S. Pensotti, M. Tacconi, P. Bobík, D. Rozza and K. Kudela and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, The Astrophysical Journal and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

M. Boschini

34 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Boschini Italy 11 350 273 88 67 30 42 501
D. Grandi Italy 10 255 0.7× 202 0.7× 61 0.7× 48 0.7× 18 0.6× 31 369
M. Boezio Italy 9 320 0.9× 296 1.1× 41 0.5× 55 0.8× 32 1.1× 48 456
J. J. Connell United States 14 506 1.4× 219 0.8× 50 0.6× 41 0.6× 46 1.5× 36 637
I. Büsching South Africa 13 557 1.6× 352 1.3× 63 0.7× 68 1.0× 22 0.7× 19 638
V. Bindi United States 11 238 0.7× 150 0.5× 19 0.2× 62 0.9× 55 1.8× 31 316
B. Bertucci Italy 9 167 0.5× 96 0.4× 36 0.4× 40 0.6× 18 0.6× 34 237
C. Lopate United States 16 656 1.9× 125 0.5× 73 0.8× 62 0.9× 48 1.6× 47 687
J. Torsti Finland 14 679 1.9× 125 0.5× 66 0.8× 19 0.3× 32 1.1× 85 740
J. A. Earl United States 15 700 2.0× 345 1.3× 91 1.0× 51 0.8× 66 2.2× 43 818
S. K. Gupta India 12 287 0.8× 237 0.9× 14 0.2× 49 0.7× 7 0.2× 56 434

Countries citing papers authored by M. Boschini

Since Specialization
Citations

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

Fields of papers citing papers by M. Boschini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Boschini

This figure shows the co-authorship network connecting the top 25 collaborators of M. Boschini. A scholar is included among the top collaborators of M. Boschini 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 M. Boschini. M. Boschini 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.
Vacca, G. La, M. Boschini, S. Della Torre, M. Gervasi, & P.G. Rancoita. (2023). Predicting galactic cosmic ray intensities in the heliosphere employing the HelMod-4 model. BOA (University of Milano-Bicocca). 1289–1289. 1 indexed citations
2.
Boschini, M., S. Della Torre, M. Gervasi, et al.. (2022). Spectra of Cosmic-Ray Sodium and Aluminum and Unexpected Aluminum Excess. The Astrophysical Journal. 933(2). 147–147. 9 indexed citations
3.
Boschini, M., et al.. (2022). Class-Incremental Continual Learning Into the eXtended DER-Verse. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(5). 5497–5512. 3 indexed citations
4.
Boschini, M., S. Della Torre, M. Gervasi, et al.. (2021). A quantitative study on the effects of external geomagnetic fields by using the GeoMagSphere back-tracing code. Advances in Space Research. 68(7). 2904–2918. 3 indexed citations
5.
Boschini, M., S. Della Torre, M. Gervasi, et al.. (2018). Deciphering the Local Interstellar Spectra of Primary Cosmic-Ray Species with HelMod. The Astrophysical Journal. 858(1). 61–61. 28 indexed citations
6.
Boschini, M., S. Della Torre, M. Gervasi, et al.. (2017). Solution of Heliospheric Propagation: Unveiling the Local Interstellar Spectra of Cosmic-ray Species. The Astrophysical Journal. 840(2). 115–115. 93 indexed citations
7.
Bobík, P., M. Boschini, M. Gervasi, et al.. (2014). Cosmic Rays in the Earth Magnetosphere: the importance of the External Field models in trajectory reconstruction with AMS-02 data. BOA (University of Milano-Bicocca). 196–203. 1 indexed citations
8.
Bobík, P., G. Boella, M. Boschini, et al.. (2011). ENERGY LOSS FOR ELECTRONS IN THE HELIOSPHERE AND LOCAL INTERSTELLAR SPECTRUM FOR SOLAR MODULATION. BOA (University of Milano-Bicocca). 482–489. 4 indexed citations
9.
Bobík, P., M. Boschini, C. Consolandi, et al.. (2011). Antiproton modulation in the Heliosphere and AMS-02 antiproton over proton ratio prediction. Astrophysics and Space Science. 1 indexed citations
10.
Bobík, P., M. Boschini, C. Consolandi, et al.. (2011). THE AMS-02 PROTON SPECTRA AND THE GEOMAGNETIC FIELD. 323–327.
11.
Bobík, P., M. Boschini, S. Della Torre, et al.. (2010). GALACTIC COSMIC RAYS MODULATION AND PREDICTION FOR THE AMS-02 MISSION. Astroparticle, Particle and Space Physics, Detectors and Medical Physics Applications. 210–219. 2 indexed citations
12.
Bobík, P., M. Boschini, M. Gervasi, D. Grandi, & P.G. Rancoita. (2006). IONS ABUNDANCE CLOSE TO THE EARTH SURFACE: THE ROLE OF THE MAGNETOSPHERE. Astroparticle, Particle and Space Physics, Detectors and Medical Physics Applications. 928–934. 2 indexed citations
13.
Bobík, P., M. Boschini, M. Gervasi, D. Grandi, & P.G. Rancoita. (2006). A 2D STOCHATSIC MONTECARLO FOR THE SOLAR MODULATION OF GCR: A PROCEDURE TO FIT INTERPLANETARY PARAMETERS COMPARING TO THE EXPERIMENTAL DATA. Astroparticle, Particle and Space Physics, Detectors and Medical Physics Applications. 206–211. 2 indexed citations
14.
Bobík, P., M. Boschini, M. Gervasi, et al.. (2005). MAGNETOSPHERIC TRANSMISSION FUNCTION TO SEPARATE NEAR EARTH PRIMARY AND SECONDARY COSMIC RAYS. International Journal of Modern Physics A. 20(29). 6678–6680. 3 indexed citations
15.
Bobík, P., M. Boschini, M. Gervasi, et al.. (2003). Cosmic ray spectrum at 1 AU: a transmission function approach to the magnetosphere. ESASP. 535. 633–636. 2 indexed citations
16.
Boschini, M. & P. Rossi. (2003). Una Webfarm per Azalai. Bollettino del CILEA (CILEA). 1 indexed citations
17.
Boschini, M., et al.. (2002). Stato del Progetto AMS. Bollettino del CILEA (CILEA).
18.
Boschini, M.. (2001). La gestione dei dati per l'esperimento AMS. Bollettino del CILEA (CILEA).
19.
Boschini, M., et al.. (1999). Il DataBase per AMS a un anno dal volo dello Space Shuttle STS-91. Bollettino del CILEA (CILEA). 2 indexed citations
20.
Boschini, M., et al.. (1998). Un DataBase Oracle per l'esperimento AMS. Bollettino del CILEA (CILEA). 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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