M. Biassoni

4.8k total citations
23 papers, 99 citations indexed

About

M. Biassoni is a scholar working on Nuclear and High Energy Physics, Radiation and Astronomy and Astrophysics. According to data from OpenAlex, M. Biassoni has authored 23 papers receiving a total of 99 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Nuclear and High Energy Physics, 7 papers in Radiation and 3 papers in Astronomy and Astrophysics. Recurrent topics in M. Biassoni's work include Particle Detector Development and Performance (11 papers), Neutrino Physics Research (10 papers) and Particle physics theoretical and experimental studies (8 papers). M. Biassoni is often cited by papers focused on Particle Detector Development and Performance (11 papers), Neutrino Physics Research (10 papers) and Particle physics theoretical and experimental studies (8 papers). M. Biassoni collaborates with scholars based in Italy, United States and Germany. M. Biassoni's co-authors include C. Moreno Martinez, O. Cremonesi, S. Pozzi, P. Lechner, Marco Carminati, L. Pagnanini, M. Pavan, C. Fiorini, S. Mertens and Maurizio Sampietro and has published in prestigious journals such as Sensors, British Journal of Haematology and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

M. Biassoni

19 papers receiving 98 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. Biassoni Italy 6 68 24 16 11 7 23 99
P. Salvini Italy 6 82 1.2× 22 0.9× 4 0.3× 8 0.7× 1 0.1× 23 96
A. R. Bazer‐Bachi France 4 16 0.2× 7 0.3× 8 0.5× 7 0.6× 6 0.9× 13 91
B. Bekman Poland 6 42 0.6× 63 2.6× 17 1.1× 14 110
Mateusz Skiba Sweden 5 50 0.7× 51 2.1× 2 0.1× 2 0.2× 2 0.3× 13 89
M. Bruschi Italy 7 83 1.2× 53 2.2× 3 0.3× 1 0.1× 26 143
B. Lutz Germany 5 17 0.3× 60 2.5× 5 0.3× 15 77
M. G. Bagliesi Italy 4 44 0.6× 35 1.5× 11 1.6× 9 63
D. Cebra United States 4 44 0.6× 23 1.0× 5 0.7× 5 61
B. Suerfu United States 4 23 0.3× 39 1.6× 3 0.4× 6 73
D. W. Luo China 5 25 0.4× 16 0.7× 10 1.4× 27 71

Countries citing papers authored by M. Biassoni

Since Specialization
Citations

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

Fields of papers citing papers by M. Biassoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of M. Biassoni. A scholar is included among the top collaborators of M. Biassoni 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. Biassoni. M. Biassoni 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.
Biassoni, M., A. Giachero, Michele Grossi, et al.. (2024). Assessment of few-hits machine learning classification algorithms for low-energy physics in liquid argon detectors. The European Physical Journal Plus. 139(8). 4 indexed citations
2.
Biassoni, M., Marco Carminati, G. De Gregorio, et al.. (2024). Silicon Drift Detectors for the Measurement and Reconstruction of Beta Spectra. Sensors. 24(24). 8202–8202.
3.
Benato, G., M. Biassoni, C. Brofferio, et al.. (2023). Development of ultralow-background cryogenic calorimeters for the measurement of surface  α contamination. Applied Radiation and Isotopes. 193. 110681–110681. 2 indexed citations
4.
Biassoni, M., C. Brofferio, M. Faverzani, et al.. (2023). Towards the development of a polymer-based assembly for cryogenic detectors for neutrino-less double beta decay. The European Physical Journal Plus. 138(5).
5.
Biassoni, M., C. Brofferio, S. Capelli, et al.. (2023). ASPECT-BET: An sdd-SPECTrometer for BETa decay studies. Journal of Physics Conference Series. 2453(1). 12020–12020. 3 indexed citations
6.
Biassoni, M., et al.. (2022). SDDs for high-rate and high-resolution electron spectroscopy. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1046. 167812–167812. 2 indexed citations
7.
Biassoni, M., C. Brofferio, P. Carniti, et al.. (2022). Pulse Shape Analysis in Low-temperature Calorimeters Read-Out by NTD Thermistors. Journal of Low Temperature Physics. 209(3-4). 622–630.
8.
Biassoni, M., S. Capelli, Marco Carminati, et al.. (2021). Electron spectrometry with Silicon drift detectors: a GEANT4 based method for detector response reconstruction. The European Physical Journal Plus. 136(1). 10 indexed citations
9.
Biassoni, M., S. Pozzi, Marco Carminati, et al.. (2021). A Geant4-based model for the TRISTAN detector. Journal of Physics Conference Series. 2156(1). 12177–12177. 1 indexed citations
10.
Biassoni, M., C. Brofferio, M. Faverzani, et al.. (2021). An acrylic assembly for low-temperature detectors. The European Physical Journal Plus. 136(10). 2 indexed citations
11.
Beretta, M., M. Biassoni, L. Gironi, et al.. (2021). Monte Carlo simulation of particle detector data stream. The European Physical Journal Plus. 136(1). 1 indexed citations
12.
Biassoni, M. & O. Cremonesi. (2020). Search for neutrino-less double beta decay with thermal detectors. Progress in Particle and Nuclear Physics. 114. 103803–103803. 8 indexed citations
13.
Biassoni, M., Marco Carminati, C. Fiorini, et al.. (2020). Characterisation of a silicon drift detector for high-resolution electron spectroscopy. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 979. 164474–164474. 20 indexed citations
14.
Biassoni, M., C. Brofferio, C. Bucci, et al.. (2016). Rejection of Alpha Surface Background in Non-scintillating Bolometric Detectors: The ABSuRD Project. Journal of Low Temperature Physics. 184(3-4). 879–884. 2 indexed citations
15.
Biassoni, M., et al.. (2016). The CUORE Experiment: An Observatory for Neutrino-Less Double Beta Decay. Nuclear Physics News. 26(1). 12–15. 1 indexed citations
16.
Canonica, L., M. Biassoni, C. Brofferio, et al.. (2014). Rejection of Surface Background in Thermal Detectors. Journal of Low Temperature Physics.
17.
Alessandria, F., M. Biassoni, G. Ceruti, et al.. (2013). The 4 K outer cryostat for the CUORE experiment: Construction and quality control. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 727. 65–72. 1 indexed citations
18.
Biassoni, M. & C. Moreno Martinez. (2012). Study of supernova -nucleus coherent scattering interactions. Astroparticle Physics. 36(1). 151–155. 12 indexed citations
19.
Velati, Claudio, Maurizio Sampietro, M. Biassoni, et al.. (1986). Alpha thalassaemia in an Italian population. British Journal of Haematology. 63(3). 497–501. 17 indexed citations
20.
Pozzo, Alma Dal, et al.. (1979). alpha, beta-Unsaturated gamma-lactones correlations between lipophilicity and biological activity.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 29(6). 877–82. 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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