M. Vecchi

10.0k total citations
17 papers, 196 citations indexed

About

M. Vecchi is a scholar working on Nuclear and High Energy Physics, Radiation and Astronomy and Astrophysics. According to data from OpenAlex, M. Vecchi has authored 17 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Nuclear and High Energy Physics, 7 papers in Radiation and 4 papers in Astronomy and Astrophysics. Recurrent topics in M. Vecchi's work include Dark Matter and Cosmic Phenomena (13 papers), Astrophysics and Cosmic Phenomena (7 papers) and Radiation Detection and Scintillator Technologies (5 papers). M. Vecchi is often cited by papers focused on Dark Matter and Cosmic Phenomena (13 papers), Astrophysics and Cosmic Phenomena (7 papers) and Radiation Detection and Scintillator Technologies (5 papers). M. Vecchi collaborates with scholars based in France, Netherlands and Germany. M. Vecchi's co-authors include D. Maurin, Sami Caroff, Mathieu Boudaud, Pierre Salati, Yoann Génolini, Pasquale Dario Serpico, Julien Lavalle, L. Derome, V. Poireau and E. F. Bueno and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Astronomy and Astrophysics.

In The Last Decade

M. Vecchi

14 papers receiving 190 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. Vecchi France 5 177 94 15 12 11 17 196
F. Melot France 4 147 0.8× 99 1.1× 10 0.7× 28 2.3× 18 1.6× 5 182
D. Serini Italy 8 144 0.8× 76 0.8× 23 1.5× 8 0.7× 3 0.3× 27 168
A. Ghelfi France 3 85 0.5× 87 0.9× 12 0.8× 34 2.8× 21 1.9× 3 129
T. Hams United States 5 106 0.6× 68 0.7× 14 0.9× 7 0.6× 4 0.4× 16 130
C. Ferguson United Kingdom 8 73 0.4× 104 1.1× 39 2.6× 10 0.8× 10 0.9× 18 159
T. Sako Japan 7 112 0.6× 68 0.7× 9 0.6× 9 0.8× 5 0.5× 55 133
T. Tamura Japan 7 183 1.0× 92 1.0× 19 1.3× 11 0.9× 5 0.5× 36 206
S. Seunarine United States 6 187 1.1× 108 1.1× 5 0.3× 9 0.8× 13 1.2× 22 209
Л. Ткачев Russia 7 133 0.8× 51 0.5× 10 0.7× 10 0.8× 26 2.4× 46 167
Н. Сакаки Japan 5 118 0.7× 40 0.4× 9 0.6× 4 0.3× 27 2.5× 30 145

Countries citing papers authored by M. Vecchi

Since Specialization
Citations

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

Fields of papers citing papers by M. Vecchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

17 of 17 papers shown
1.
Aschersleben, J., Gianfranco Bertone, D. Horns, et al.. (2024). Gamma rays from dark matter spikes in EAGLE simulations. Journal of Cosmology and Astroparticle Physics. 2024(9). 5–5. 3 indexed citations
2.
Maurin, D., et al.. (2024). Transport parameters from AMS-02 F/Si data and fluorine source abundance. Astronomy and Astrophysics. 688. A17–A17. 2 indexed citations
3.
Aschersleben, J., et al.. (2023). Signal-background separation and energy reconstruction of gamma rays using pattern spectra and convolutional neural networks for the Small-Sized Telescopes of the Cherenkov Telescope Array. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1059. 168942–168942.
4.
Bueno, E. F., F. Barão, & M. Vecchi. (2023). Machine learning approach to the background reduction in singly charged cosmic-ray isotope measurements with AMS-02. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1056. 168644–168644.
5.
Maurin, D., E. F. Bueno, Yoann Génolini, L. Derome, & M. Vecchi. (2022). The importance of Fe fragmentation for LiBeB analyses. Astronomy and Astrophysics. 668. A7–A7. 10 indexed citations
6.
Vecchi, M., et al.. (2022). The Rigidity Dependence of Galactic Cosmic-Ray Fluxes and Its Connection With the Diffusion Coefficient. Frontiers in Physics. 10. 6 indexed citations
7.
Bueno, E. F., F. Barão, & M. Vecchi. (2022). A parametric approach for the identification of single-charged isotopes with AMS-02. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1031. 166564–166564. 2 indexed citations
8.
Bueno, E. F., F. Barão, & M. Vecchi. (2022). Iterative-Bayesian unfolding of cosmic-ray isotope fluxes measured by AMS-02. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1046. 167695–167695. 1 indexed citations
9.
Vecchi, M., E. F. Bueno, L. Derome, Yoann Génolini, & D. Maurin. (2021). Combined analysis of AMS-02 secondary-to-primary ratios: universality of cosmic-ray propagation and consistency of nuclear cross sections. Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021). 174–174. 2 indexed citations
10.
Vecchi, M., D. Maurin, L. Derome, et al.. (2019). Is the B/C slope in AMS-02 data actually telling us something about the diffusion coefficient slope?. Proceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019). 145–145. 1 indexed citations
11.
Génolini, Yoann, Mathieu Boudaud, Sami Caroff, et al.. (2019). Cosmic ray transport from AMS-02 B/C data: benchmark models and interpretation. Proceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019). 73–73. 1 indexed citations
12.
Boudaud, Mathieu, Sami Caroff, Julien Lavalle, et al.. (2019). Cosmic-ray transport from AMS-02 boron to carbon ratio data: Benchmark models and interpretation. Physical review. D. 99(12). 61 indexed citations
13.
Boudaud, Mathieu, E. F. Bueno, Sami Caroff, et al.. (2017). The pinching method for Galactic cosmic ray positrons: Implications in the light of precision measurements. Astronomy and Astrophysics. 605. A17–A17. 24 indexed citations
14.
Génolini, Yoann, Pasquale Dario Serpico, Mathieu Boudaud, et al.. (2017). Indications for a high-rigidity break in the cosmic-ray diffusion coefficient. Proceedings of 35th International Cosmic Ray Conference — PoS(ICRC2017). 268–268. 4 indexed citations
15.
Génolini, Yoann, Pasquale Dario Serpico, Mathieu Boudaud, et al.. (2017). Indications for a High-Rigidity Break in the Cosmic-Ray Diffusion Coefficient. Physical Review Letters. 119(24). 77 indexed citations
16.
Vecchi, M.. (2015). Recent results from the AMS-02 experiment. SHILAP Revista de lepidopterología. 105. 1001–1001.
17.
Ageron, M., M. Boër, J. Brünner, et al.. (2011). Search for neutrinos from transient sources with the ANTARES telescope and optical follow-up observations. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 692. 184–187. 2 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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