A. Garofalo

20.2k total citations
19 papers, 300 citations indexed

About

A. Garofalo is a scholar working on Astronomy and Astrophysics, Instrumentation and Computational Mechanics. According to data from OpenAlex, A. Garofalo has authored 19 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Astronomy and Astrophysics, 13 papers in Instrumentation and 2 papers in Computational Mechanics. Recurrent topics in A. Garofalo's work include Stellar, planetary, and galactic studies (17 papers), Astronomy and Astrophysical Research (13 papers) and Astrophysics and Star Formation Studies (8 papers). A. Garofalo is often cited by papers focused on Stellar, planetary, and galactic studies (17 papers), Astronomy and Astrophysical Research (13 papers) and Astrophysics and Star Formation Studies (8 papers). A. Garofalo collaborates with scholars based in Italy, United States and United Kingdom. A. Garofalo's co-authors include G. Clementini, T. Muraveva, L. M. Sarro, H. E. Delgado, F. Cusano, V. Ripepi, M. Marconi, I. Musella, M. Cignoni and M. I. Moretti and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

A. Garofalo

18 papers receiving 271 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. Garofalo Italy 11 283 168 24 17 9 19 300
Borja Anguiano United States 10 474 1.7× 231 1.4× 16 0.7× 13 0.8× 6 0.7× 24 484
Z. Prudil Germany 11 269 1.0× 137 0.8× 20 0.8× 9 0.5× 9 1.0× 28 283
R. Dorda Spain 14 446 1.6× 244 1.5× 27 1.1× 17 1.0× 3 0.3× 29 454
Garrett Somers United States 9 350 1.2× 131 0.8× 17 0.7× 9 0.5× 5 0.6× 10 356
D. T. Andreasen Portugal 8 213 0.8× 97 0.6× 19 0.8× 19 1.1× 5 0.6× 11 217
G. Casali Italy 11 263 0.9× 145 0.9× 18 0.8× 24 1.4× 6 0.7× 21 281
Jennifer R. Hall United States 7 308 1.1× 140 0.8× 22 0.9× 9 0.5× 9 1.0× 9 314
I. Toledo Chile 6 339 1.2× 156 0.9× 13 0.5× 27 1.6× 7 0.8× 13 343
A. Mohandasan Italy 11 253 0.9× 181 1.1× 25 1.0× 8 0.5× 4 0.4× 22 283
Volkan Bakış Türkiye 9 437 1.5× 189 1.1× 50 2.1× 28 1.6× 7 0.8× 43 440

Countries citing papers authored by A. Garofalo

Since Specialization
Citations

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

Fields of papers citing papers by A. Garofalo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Garofalo

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

All Works

19 of 19 papers shown
1.
Monti, Lorenzo, T. Muraveva, G. Clementini, & A. Garofalo. (2024). Leveraging Deep Learning for Time-Series Extrinsic Regression in Predicting the Photometric Metallicity of Fundamental-Mode RR Lyrae Stars. Sensors. 24(16). 5203–5203. 1 indexed citations
2.
Muraveva, T., A. Giannetti, G. Clementini, A. Garofalo, & Lorenzo Monti. (2024). Metallicity of RR Lyrae stars from the Gaia Data Release 3 catalogue computed with Machine Learning algorithms. Monthly Notices of the Royal Astronomical Society. 536(3). 2749–2769. 7 indexed citations
3.
Evans, D. W., L. Eyer, G. Busso, et al.. (2022). GaiaData Release 3. Astronomy and Astrophysics. 674. A4–A4. 15 indexed citations
4.
Garofalo, A., H. E. Delgado, L. M. Sarro, et al.. (2022). New LZ and PW(Z) relations of RR Lyrae stars calibrated withGaiaEDR3 parallaxes. Monthly Notices of the Royal Astronomical Society. 513(1). 788–806. 19 indexed citations
5.
Sacchi, Elena, Alessandra Aloisi, Matteo Correnti, et al.. (2021). Reaching the Oldest Stars beyond the Local Group: Ancient Star Formation in UGC 4483*. The Astrophysical Journal. 911(1). 62–62. 4 indexed citations
6.
Simon, Joshua D., T. M. Brown, A. Drlica-Wagner, et al.. (2021). Eridanus II: A Fossil from Reionization with an Off-center Star Cluster. The Astrophysical Journal. 908(1). 18–18. 33 indexed citations
7.
Cusano, F., M. I. Moretti, G. Clementini, et al.. (2021). The VMC Survey – XLII. Near-infrared period–luminosity relations for RR Lyrae stars and the structure of the Large Magellanic Cloud. Monthly Notices of the Royal Astronomical Society. 504(1). 1–15. 24 indexed citations
8.
Muraveva, T., G. Clementini, A. Garofalo, & F. Cusano. (2020). A fresh look at the RR Lyrae population in the Draco dwarf spheroidal galaxy with Gaia. Monthly Notices of the Royal Astronomical Society. 499(3). 4040–4053. 12 indexed citations
9.
Clementini, G., V. Ripepi, R. Molinaro, et al.. (2019). Gaia Data Release 2 Specific characterisation and validation of all-sky Cepheids and RR Lyrae stars. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences).
10.
Minniti, D., Edward F. Schlafly, T. Palma, et al.. (2018). Confirmation of a New Metal-poor Globular Cluster in the Galactic Bulge∗. The Astrophysical Journal. 866(1). 12–12. 14 indexed citations
11.
Muraveva, T., H. E. Delgado, G. Clementini, L. M. Sarro, & A. Garofalo. (2018). RR Lyrae stars as standard candles in the Gaia Data Release 2 Era. Monthly Notices of the Royal Astronomical Society. 481(1). 1195–1211. 86 indexed citations
12.
Muraveva, T., A. Garofalo, Victoria Scowcroft, et al.. (2018). The Carnegie RR Lyrae Program: mid-infrared period–luminosity relations of RR Lyrae stars in Reticulum. Monthly Notices of the Royal Astronomical Society. 480(3). 4138–4153. 17 indexed citations
13.
Garofalo, A., Victoria Scowcroft, G. Clementini, et al.. (2018). SMHASH: a new mid-infrared RR Lyrae distance determination for the Local Group dwarf spheroidal galaxy Sculptor. Monthly Notices of the Royal Astronomical Society. 481(1). 578–595. 4 indexed citations
14.
Clementini, G., L. Eyer, T. Muraveva, et al.. (2017). Gaia’s Cepheids and RR Lyrae stars and luminosity calibrations based on Tycho-Gaia Astrometric Solution. SHILAP Revista de lepidopterología. 152. 2003–2003. 1 indexed citations
15.
Cusano, F., A. Garofalo, G. Clementini, et al.. (2016). VARIABLE STARS AND STELLAR POPULATIONS IN ANDROMEDA XXV. III. A CENTRAL CLUSTER OR THE GALAXY NUCLEUS?*. The Astrophysical Journal. 829(1). 26–26. 17 indexed citations
16.
Cusano, F., A. Garofalo, G. Clementini, et al.. (2015). VARIABLE STARS AND STELLAR POPULATIONS IN ANDROMEDA XXI. II. ANOTHER MERGED GALAXY SATELLITE OF M31?. The Astrophysical Journal. 806(2). 200–200. 6 indexed citations
17.
Cusano, F., G. Clementini, A. Garofalo, et al.. (2013). DWARF SPHEROIDAL SATELLITES OF M31. I. VARIABLE STARS AND STELLAR POPULATIONS IN ANDROMEDA XIX. The Astrophysical Journal. 779(1). 7–7. 14 indexed citations
18.
Garofalo, A., F. Cusano, G. Clementini, et al.. (2013). VARIABLE STARS IN THE ULTRA-FAINT DWARF SPHEROIDAL GALAXY URSA MAJOR I. The Astrophysical Journal. 767(1). 62–62. 20 indexed citations
19.
Garofalo, A.. (1960). New set of variables for astronomical problems. The Astronomical Journal. 65. 117–117. 6 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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