M. Bucciantonio

2.4k total citations
8 papers, 54 citations indexed

About

M. Bucciantonio is a scholar working on Nuclear and High Energy Physics, Radiation and Computer Networks and Communications. According to data from OpenAlex, M. Bucciantonio has authored 8 papers receiving a total of 54 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Nuclear and High Energy Physics, 4 papers in Radiation and 3 papers in Computer Networks and Communications. Recurrent topics in M. Bucciantonio's work include Particle Detector Development and Performance (7 papers), Radiation Detection and Scintillator Technologies (4 papers) and Particle physics theoretical and experimental studies (3 papers). M. Bucciantonio is often cited by papers focused on Particle Detector Development and Performance (7 papers), Radiation Detection and Scintillator Technologies (4 papers) and Particle physics theoretical and experimental studies (3 papers). M. Bucciantonio collaborates with scholars based in Italy, Switzerland and United States. M. Bucciantonio's co-authors include F. Sauli, Robert Kieffer, U. Amaldi, J. Samarati, G. Borghi, G. Volpi, M. Bettini, A. Annovi, P. Giannetti and M. Piendibene and has published in prestigious journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Modern Physics Letters A and Journal of Physics Conference Series.

In The Last Decade

M. Bucciantonio

8 papers receiving 53 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Bucciantonio Italy	5	38	29	24	13	11	8	54
B. Stugu Norway	4	31 0.8×	47 1.6×	16 0.7×	11 0.8×	12 1.1×	11	64
S. Wheeler United Kingdom	4	24 0.6×	28 1.0×	13 0.5×	4 0.3×	15 1.4×	12	50
G. Cosmo Switzerland	7	47 1.2×	44 1.5×	24 1.0×	25 1.9×	7 0.6×	17	90
M. Cirilli Switzerland	5	20 0.5×	24 0.8×	15 0.6×	5 0.4×	5 0.5×	15	43
J. Alme Norway	5	39 1.0×	48 1.7×	19 0.8×	5 0.4×	28 2.5×	19	70
M. Battaglia Germany	4	36 0.9×	34 1.2×	32 1.3×	4 0.3×	11 1.0×	5	69
G. Chiodi Italy	6	24 0.6×	30 1.0×	7 0.3×	10 0.8×	27 2.5×	23	70
S. Kushpil Czechia	5	29 0.8×	26 0.9×	7 0.3×	5 0.4×	17 1.5×	12	36
R. Geyer Germany	5	37 1.0×	20 0.7×	24 1.0×	13 1.0×	8 0.7×	13	56
E. Alagöz United States	3	24 0.6×	13 0.4×	16 0.7×	9 0.7×	10 0.9×	10	31

Countries citing papers authored by M. Bucciantonio

Since Specialization

Citations

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

Fields of papers citing papers by M. Bucciantonio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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8 of 8 papers shown

Amaldi, U., G. Borghi, M. Bucciantonio, et al.. (2015). Development of TOF-PET detectors based on the Multi-Gap Resistive Plate Chambers. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 778. 85–91. 13 indexed citations

Bucciantonio, M. & F. Sauli. (2015). Proton computed tomography. Modern Physics Letters A. 30(17). 1540024–1540024. 4 indexed citations

Bucciantonio, M., et al.. (2013). Development of a fast proton range radiography system for quality assurance in hadrontherapy. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 732. 564–567. 22 indexed citations

Bucciantonio, M., et al.. (2012). Fast readout of GEM detectors for medical imaging. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 718. 160–163. 4 indexed citations

Amerio, S., A. Annovi, M. Bettini, et al.. (2010). The Gigafitter: An online track fitting processor for CDF experiment and beyond. CINECA IRIS Institutial research information system (University of Pisa). 636–639. 2 indexed citations

Amerio, S., A. Annovi, M. Bettini, et al.. (2010). The GigaFitter: Performance at CDF and Perspectives for Future Applications. Journal of Physics Conference Series. 219(2). 22001–22001. 2 indexed citations

Amerio, S., A. Annovi, M. Bettini, et al.. (2010). GigaFitter: Performance at CDF and perspective for future applications. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 623(1). 540–542. 3 indexed citations

Amerio, S., A. Annovi, M. Bettini, et al.. (2009). The GigaFitter: A next generation track fitter to enhance online tracking performances at CDF. CINECA IRIS Institutial research information system (University of Pisa). 1143–1146. 4 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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