M. Boschini

9.2k citations
42 papers · 501 indexed · h-index 11

M. Boschini

34 papers receiving 447 citations

Peers

M. Boschini
Comparison fields: 5 of 36
  • Astronomy and Astrophysics 350
  • Nuclear and High Energy Physics 273
  • Atmospheric Science 67
  • Artificial Intelligence 88
  • Radiation 15
Replace D. Grandi with:
D. Grandi Italy
C. Lopate United States
I. Büsching South Africa
J. Torsti Finland
V. Bindi United States
J. A. Earl United States
C. J. Eyles United Kingdom
F. Barão Portugal
M. Boezio Italy
B. Bertucci Italy
M. Boschini relative to D. Grandi Italy D. Grandi's profile →
Citations per field
00.5×1.5×1.8×
D. Grandi · 1×
Citations per year

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

The 25 scholars most cited alongside M. Boschini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Boschini Line = papers co-authored together M. Boschini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 20229
3 20223
4 20213
5 201828
6 201793
7 20141
8 20114
9 20111
10 20110
11 20102
12 20062
13 20062
14 20053
15
Cosmic ray spectrum at 1 AU: a transmission function approach to the magnetosphere
20032
16
Una Webfarm per Azalai
20031
17
Stato del Progetto AMS
20020
18
La gestione dei dati per l'esperimento AMS
20010
19
Il DataBase per AMS a un anno dal volo dello Space Shuttle STS-91
19992
20
Un DataBase Oracle per l'esperimento AMS
19983

About M. Boschini

M. Boschini is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics, Atmospheric Science, Information Systems and Management and Artificial Intelligence, having authored 42 papers that have together received 501 indexed citations. Recurring topics across this work include Solar and Space Plasma Dynamics (25 papers), Ionosphere and magnetosphere dynamics (13 papers), Dark Matter and Cosmic Phenomena (11 papers), Astrophysics and Cosmic Phenomena (8 papers), Atmospheric Ozone and Climate (7 papers), Solar Radiation and Photovoltaics (5 papers), Distributed and Parallel Computing Systems (5 papers) and Earthquake Detection and Analysis (3 papers). The work is most often cited by research in Astronomy and Astrophysics (350 citations), Nuclear and High Energy Physics (273 citations), Atmospheric Science (67 citations), Artificial Intelligence (88 citations) and Radiation (15 citations). M. Boschini has collaborated with scholars based in Italy, Slovakia and Sweden. Frequent 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. Their work appears in journals such as Advances in Space Research, The Astrophysical Journal, Journal of Geophysical Research Atmospheres, International Journal of Modern Physics A and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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