A. La Barbera

15.8k total citations
35 papers, 541 citations indexed

About

A. La Barbera is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Statistical and Nonlinear Physics. According to data from OpenAlex, A. La Barbera has authored 35 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Nuclear and High Energy Physics, 19 papers in Astronomy and Astrophysics and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in A. La Barbera's work include Astrophysics and Cosmic Phenomena (21 papers), Gamma-ray bursts and supernovae (13 papers) and Particle Detector Development and Performance (12 papers). A. La Barbera is often cited by papers focused on Astrophysics and Cosmic Phenomena (21 papers), Gamma-ray bursts and supernovae (13 papers) and Particle Detector Development and Performance (12 papers). A. La Barbera collaborates with scholars based in Italy, Germany and United States. A. La Barbera's co-authors include Bernardo Spagnolo, N. R. Robba, L. Burderi, T. Di Salvo, M. A. Cirone, F. de Pasquale, M. Guainazzi, A. Segreto, A. Santangelo and M. Orlandini and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Astrophysical Journal and Journal of Physics Condensed Matter.

In The Last Decade

A. La Barbera

29 papers receiving 521 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. La Barbera Italy 11 232 145 106 94 93 35 541
Manuel Arrayás Spain 14 137 0.6× 124 0.9× 51 0.5× 10 0.1× 42 0.5× 44 719
Xiong Li China 17 23 0.1× 124 0.9× 38 0.4× 55 0.6× 5 0.1× 93 691
Matthew S. Paoletti United States 11 92 0.4× 70 0.5× 67 0.6× 17 0.2× 22 0.2× 15 655
Josep Enric Llebot Spain 15 27 0.1× 271 1.9× 73 0.7× 24 0.3× 4 0.0× 45 537
D. Villarroel Chile 8 92 0.4× 225 1.6× 20 0.2× 9 0.1× 33 0.4× 36 480
Kyle Gustafson Switzerland 15 264 1.1× 54 0.4× 9 0.1× 9 0.1× 242 2.6× 27 728
Jean-Sébastien Gagnon Canada 10 119 0.5× 38 0.3× 45 0.4× 22 0.2× 161 1.7× 26 406
M. A. Livshits Russia 14 581 2.5× 19 0.1× 12 0.1× 10 0.1× 35 0.4× 99 694
Dejan Vinković United States 13 394 1.7× 47 0.3× 45 0.4× 31 0.3× 17 0.2× 39 628
John Norbury United Kingdom 12 140 0.6× 10 0.1× 76 0.7× 4 0.0× 76 0.8× 51 810

Countries citing papers authored by A. La Barbera

Since Specialization
Citations

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

Fields of papers citing papers by A. La Barbera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. La Barbera. 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 A. La Barbera. The network helps show where A. La Barbera may publish in the future.

Co-authorship network of co-authors of A. La Barbera

This figure shows the co-authorship network connecting the top 25 collaborators of A. La Barbera. A scholar is included among the top collaborators of A. La Barbera 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 A. La Barbera. A. La Barbera 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.
Parola, V. La, G. Cusumano, S. Lombardi, et al.. (2025). Machine Learning-Enhanced Discrimination of Gamma-Ray and Hadron Events Using Temporal Features: An ASTRI Mini-Array Analysis. Applied Sciences. 15(7). 3879–3879.
2.
Pagliaro, A., G. Cusumano, A. La Barbera, V. La Parola, & S. Lombardi. (2023). Application of Machine Learning Ensemble Methods to ASTRI Mini-Array Cherenkov Event Reconstruction. Applied Sciences. 13(14). 8172–8172. 7 indexed citations
3.
Wolter, A., et al.. (2023). A riddle to solve Centaurus A: learning about Gamma Rays. Proceedings Of Science. 1608–1608. 1 indexed citations
4.
Mirzoyan, Razmik, A. Babić, Ž. Bošnjak, et al.. (2019). MAGIC detects an unprecedented activity from the blazar 1ES 1218+304 at very high energy gamma rays. The astronomer's telegram. 12354. 1. 2 indexed citations
5.
Mirzoyan, Razmik, A. Babić, Ž. Bošnjak, et al.. (2019). Detection of sub-TeV gamma-ray emission from the flaring blazar TXS 1515-273 with the MAGIC telescopes. The astronomer's telegram. 12538. 1.
6.
Mirzoyan, Razmik, Ž. Bošnjak, S. Cikota, et al.. (2019). First time detection of a GRB at sub-TeV energies; MAGIC detects the GRB 190114C. The astronomer's telegram. 12390. 1. 9 indexed citations
7.
Mukherjee, R., A. Babić, D. Dominis Prester, et al.. (2017). TeV gamma-ray emission from PSR J2032+4127/ MT91 213 at periastron. The astronomer's telegram. 10971. 1.
8.
Mirzoyan, Razmik, D. Dominis Prester, N. Godinović, et al.. (2017). Detection of very-high-energy gamma-ray emission from the FSRQ Ton 0599 with the MAGIC telescopes. The astronomer's telegram. 11061. 1. 5 indexed citations
9.
Prester, D. Dominis, N. Godinović, Dario Hrupec, et al.. (2017). MAGIC detection of a giant flaring activity from NGC 1275 at very-high-energy gamma rays. The astronomer's telegram. 9929. 1. 3 indexed citations
10.
Mirzoyan, Razmik, A. Babić, D. Dominis Prester, et al.. (2017). First-time detection of VHE gamma rays by MAGIC from a direction consistent with the recent EHE neutrino event IceCube-170922A. The astronomer's telegram. 10817. 1. 5 indexed citations
11.
Prester, D. Dominis, N. Godinović, Dario Hrupec, et al.. (2016). MAGIC detects very high energy gamma-ray emission from the blazar OT 081 (PKS 1749+096, 4C +09.57). The astronomer's telegram. 9267. 1. 1 indexed citations
12.
Mirzoyan, Razmik, A. Babić, D. Dominis Prester, et al.. (2016). Fermi-LAT, FACT, MAGIC and VERITAS detection of increasing gamma-ray activity from the high-energy peaked BL Lac object 1ES 1959+650. The astronomer's telegram. 9010. 1.
13.
Mirzoyan, Razmik, D. Dominis Prester, N. Godinović, et al.. (2016). MAGIC detection of an increased activity from NGC 1275 at very-high-energy gamma rays. The astronomer's telegram. 9689. 1. 1 indexed citations
14.
Aleksić, J., D. Dominis Prester, N. Godinović, et al.. (2015). Discovery of Very High Energy Gamma-Ray Emission from the FSRQ S4 0954+65 with the MAGIC telescopes. The astronomer's telegram. 1 indexed citations
15.
Aleksić, J., A. Babić, D. Dominis Prester, et al.. (2015). Discovery of Very High Energy Gamma-Ray Emission from the distant FSRQ PKS 1441+25 with the MAGIC telescopes. The astronomer's telegram. 2 indexed citations
16.
Aleksić, J., A. Babić, D. Dominis Prester, et al.. (2015). MAGIC detects Very High Energy gamma-rays from S5 0716+714.
17.
Aleksić, J., D. Dominis Prester, N. Godinović, et al.. (2014). Discovery of Very High Energy Gamma-Ray Emission From Gravitationally Lensed Blazar S3 0218+357 with the MAGIC Telescopes.
18.
Garczarczyk, M., L. A. Antonelli, A. La Barbera, et al.. (2008). Observation of gamma ray bursts at very high energies with the MAGIC telescope. AIP conference proceedings. 342–344. 1 indexed citations
19.
Spagnolo, Bernardo, M. A. Cirone, A. La Barbera, & F. de Pasquale. (2002). Noise-induced effects in population dynamics. Journal of Physics Condensed Matter. 14(9). 2247–2255. 85 indexed citations
20.
Barbera, A. La & Roberto Passante. (1995). Causality and spatial correlations of the relativistic scalar field in the presence of a static source. Physics Letters A. 206(1-2). 1–6. 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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