M. Brescia

6.7k total citations
77 papers, 840 citations indexed

About

M. Brescia is a scholar working on Astronomy and Astrophysics, Instrumentation and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, M. Brescia has authored 77 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Astronomy and Astrophysics, 38 papers in Instrumentation and 16 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in M. Brescia's work include Astronomy and Astrophysical Research (37 papers), Galaxies: Formation, Evolution, Phenomena (33 papers) and Adaptive optics and wavefront sensing (16 papers). M. Brescia is often cited by papers focused on Astronomy and Astrophysical Research (37 papers), Galaxies: Formation, Evolution, Phenomena (33 papers) and Adaptive optics and wavefront sensing (16 papers). M. Brescia collaborates with scholars based in Italy, United States and Netherlands. M. Brescia's co-authors include G. Longo, S. Cavuoti, G. Riccio, Virgilio De Stefano, C. Tortora, Valeria Amaro, N. R. Napolitano, M. Paolillo, A. Mercurio and Civita Vellucci and has published in prestigious journals such as The Astrophysical Journal, Earth and Planetary Science Letters and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

M. Brescia

66 papers receiving 780 citations

Peers

M. Brescia
B. Hoyle Germany
Sandor Kruk United Kingdom
Rebecca Smethurst United Kingdom
Kevin Casteels United Kingdom
S. C. Odewahn United States
B. Nord United States
P. Melchior United States
M. Brescia
Citations per year, relative to M. Brescia M. Brescia (= 1×) peers S. Cavuoti

Countries citing papers authored by M. Brescia

Since Specialization
Citations

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

Fields of papers citing papers by M. Brescia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of M. Brescia. A scholar is included among the top collaborators of M. Brescia 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. Brescia. M. Brescia 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.
Maruccia, Y., S. Cavuoti, M. Brescia, et al.. (2025). The evolutionary path of star-forming clumps in Hi-GAL. Astronomy and Computing. 53. 100985–100985.
2.
Ferro, Lisa, et al.. (2024). Long gamma-ray burst light curves as the result of a common stochastic pulse–avalanche process. Astronomy and Astrophysics. 689. A266–A266. 3 indexed citations
3.
Mercurio, A., Benedetta Vulcani, G. Rodighiero, et al.. (2023). VST-GAME: Galaxy assembly as a function of mass and environment with VST. Astronomy and Astrophysics. 671. A146–A146. 4 indexed citations
4.
Li, Rui, N. R. Napolitano, Hai-Cheng Feng, et al.. (2022). Galaxy morphoto-Z with neural Networks (GaZNets). Astronomy and Astrophysics. 666. A85–A85. 9 indexed citations
5.
Angora, G., P. Rosati, M. Meneghetti, et al.. (2022). Simulating high-realistic galaxy scale strong lensing in galaxy clusters to train deep learning methods. Proceedings of the International Astronomical Union. 18(S381). 85–93.
6.
Angora, G., P. Rosati, M. Brescia, et al.. (2020). The search for galaxy cluster members with deep learning of panchromatic HST imaging and extensive spectroscopy. Springer Link (Chiba Institute of Technology). 2 indexed citations
7.
Nakoneczny, Szymon J., Maciej Bilicki, A. Pollo, et al.. (2019). Catalog of quasars from the Kilo-Degree Survey Data Release 3. Springer Link (Chiba Institute of Technology). 23 indexed citations
8.
Angora, G., M. Brescia, S. Cavuoti, et al.. (2019). Astroinformatics-based search for globular clusters in the Fornax Deep Survey. Monthly Notices of the Royal Astronomical Society. 490(3). 4080–4106. 4 indexed citations
9.
Brescia, M., S. Cavuoti, Valeria Amaro, et al.. (2018). The astronomical data deluge and the template case of photometric redshifts. arXiv (Cornell University). 3 indexed citations
10.
Fu, Liping, M. Radovich, Xiangkun Liu, et al.. (2018). Weak-lensing study in VOICE survey – I. Shear measurement. Monthly Notices of the Royal Astronomical Society. 479(3). 3858–3872. 7 indexed citations
11.
Longo, G., M. Brescia, & S. Cavuoti. (2017). The Astronomical Data Deluge: the Template Case of Photometric Redshifts.. 27–29. 2 indexed citations
12.
Masters, Daniel, P. Capak, Daniel Stern, et al.. (2015). MAPPING THE GALAXY COLOR–REDSHIFT RELATION: OPTIMAL PHOTOMETRIC REDSHIFT CALIBRATION STRATEGIES FOR COSMOLOGY SURVEYS. The Astrophysical Journal. 813(1). 53–53. 91 indexed citations
13.
Brescia, M., S. Cavuoti, G. Longo, & Virgilio De Stefano. (2014). A catalogue of photometric redshifts for the SDSS-DR9 galaxies. Springer Link (Chiba Institute of Technology). 51 indexed citations
14.
Cavuoti, S., M. Brescia, G. Longo, & A. Mercurio. (2012). Photometric redshifts with the quasi Newton algorithm (MLPQNA) Results in the PHAT1 contest. Springer Link (Chiba Institute of Technology). 30 indexed citations
15.
Djorgovski, S. G., G. Longo, M. Brescia, et al.. (2012). DAta Mining and Exploration (DAME): New Tools for Knowledge Discovery in Astronomy. 219. 1 indexed citations
16.
D’Abrusco, R., Antonino Staiano, G. Longo, et al.. (2007). Mining the SDSS Archive. I. Photometric Redshifts in the Nearby Universe. The Astrophysical Journal. 663(2). 752–764. 24 indexed citations
17.
Brescia, M., et al.. (2006). The Atmospheric Dispersion Corrector Software for the VST.. 9. 436. 1 indexed citations
18.
Schipani, Pietro, et al.. (2006). The active optics software for the VST telescope .. 9. 469. 1 indexed citations
19.
Schipani, Pietro, et al.. (2004). Software reverse engineering and development: the VST TCS case. ASPC. 314. 697. 1 indexed citations
20.
Mancini, D., M. Brescia, & Pietro Schipani. (2003). Ground-based telescope pointing and tracking optimization using a neural controller. Neural Networks. 16(3-4). 365–374.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026