P. Montagna

45.5k total citations
10 papers, 85 citations indexed

About

P. Montagna is a scholar working on Nuclear and High Energy Physics, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics. According to data from OpenAlex, P. Montagna has authored 10 papers receiving a total of 85 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nuclear and High Energy Physics, 5 papers in Atomic and Molecular Physics, and Optics and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in P. Montagna's work include Particle Detector Development and Performance (3 papers), Particle physics theoretical and experimental studies (2 papers) and High-Energy Particle Collisions Research (2 papers). P. Montagna is often cited by papers focused on Particle Detector Development and Performance (3 papers), Particle physics theoretical and experimental studies (2 papers) and High-Energy Particle Collisions Research (2 papers). P. Montagna collaborates with scholars based in Italy and Germany. P. Montagna's co-authors include A. Rotondi, A. Braghieri, P. Vitulo, P. Salvini, I. Vai, C. Riccardi, Alice Magnani, A. Panzarasa, G. Bendiscioli and P. Salvini and has published in prestigious journals such as Nuclear Physics A, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms.

In The Last Decade

P. Montagna

9 papers receiving 80 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
P. Montagna Italy	5	54	37	10	9	9	10	85
J. Jacquemier France	7	68 1.3×	59 1.6×	9 0.9×	5 0.6×	11 1.2×	12	104
H. Wenzel United States	5	40 0.7×	50 1.4×	5 0.5×	10 1.1×	17 1.9×	16	74
R. Bencardino Australia	6	61 1.1×	95 2.6×	5 0.5×	11 1.2×	9 1.0×	13	109
W. Baldini Italy	5	54 1.0×	57 1.5×	3 0.3×	15 1.7×	8 0.9×	27	85
S. Gianì	3	22 0.4×	45 1.2×	10 1.0×	6 0.7×	14 1.6×	3	70
Steffen Hauf Germany	5	32 0.6×	50 1.4×	9 0.9×	4 0.4×	22 2.4×	23	71
K. S. Sim South Korea	6	62 1.1×	47 1.3×	3 0.3×	17 1.9×	5 0.6×	25	92
V. Pojidaev Switzerland	5	35 0.6×	33 0.9×	6 0.6×	7 0.8×	5 0.6×	15	66
C. Woody United States	6	85 1.6×	57 1.5×	8 0.8×	17 1.9×	11 1.2×	19	107
V. Postolache Italy	5	18 0.3×	34 0.9×	7 0.7×	7 0.8×	14 1.6×	14	53

Countries citing papers authored by P. Montagna

Since Specialization

Citations

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

Fields of papers citing papers by P. Montagna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Montagna

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Aimè, C., et al.. (2022). PER me si va ne la fisica recente (Particle Escape Room). Proceedings of 41st International Conference on High Energy physics — PoS(ICHEP2022). 1164–1164.

2.

Gallivanone, Francesca, Daniela D’Ambrosio, P. Montagna, et al.. (2022). A tri-modal tissue-equivalent anthropomorphic phantom for PET, CT and multi-parametric MRI radiomics. Physica Medica. 98. 28–39. 11 indexed citations

3.

Malgieri, Massimiliano, et al.. (2017). An experiment on radioactive equilibrium and its modelling using the ‘radioactive dice’ approach. Physics Education. 52(4). 45023–45023. 4 indexed citations

4.

Braghieri, A., Alice Magnani, P. Montagna, et al.. (2017). The Phase-2 Upgrade of the CMS Muon Detectors. 31 indexed citations

5.

Costanza, S., L. Benussi, A. Braghieri, et al.. (2009). The straw tube tracker of the P¯ANDA experiment. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 617(1-3). 148–150. 4 indexed citations

6.

Braghieri, A., L. Busso, D. Calvo, et al.. (2008). Radiation damage effects on epitaxial silicon devices for the PANDA hybrid pixel detector. 2539–2541. 2 indexed citations

7.

Montagna, P., G. Bendiscioli, T. Bressani, et al.. (2008). Recent results on antiproton annihilation in 4He. Few-Body Systems. 43(1-4). 115–120. 1 indexed citations

8.

Panzarasa, A., et al.. (2004). Evidence for the formation of a highly excited hadronic blob in 4He annihilation. Nuclear Physics A. 747(2-4). 448–475. 7 indexed citations

9.

Salvini, P., G. Bendiscioli, A. Fontana, & P. Montagna. (2001). Branching ratios of annihilation reactions. Nuclear Physics A. 696(3-4). 527–536. 2 indexed citations

10.

Rotondi, A. & P. Montagna. (1990). Fast calculation of Vavilov distribution. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms. 47(3). 215–223. 23 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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