Valerio Busillo

468 total citations
8 papers, 17 citations indexed

About

Valerio Busillo is a scholar working on Astronomy and Astrophysics, Instrumentation and Computational Mechanics. According to data from OpenAlex, Valerio Busillo has authored 8 papers receiving a total of 17 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Astronomy and Astrophysics, 6 papers in Instrumentation and 2 papers in Computational Mechanics. Recurrent topics in Valerio Busillo's work include Astronomy and Astrophysical Research (6 papers), Galaxies: Formation, Evolution, Phenomena (6 papers) and Cosmology and Gravitation Theories (4 papers). Valerio Busillo is often cited by papers focused on Astronomy and Astrophysical Research (6 papers), Galaxies: Formation, Evolution, Phenomena (6 papers) and Cosmology and Gravitation Theories (4 papers). Valerio Busillo collaborates with scholars based in Italy, Netherlands and China. Valerio Busillo's co-authors include G. Covone, L. K. Hunt, L. V. E. Koopmans, C. Tortora, N. R. Napolitano, Fabrizio Gentile, Giuseppe Longo, J. T. A. de Jong, S. Contarini and E. A. Valentijn and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, The Astrophysical Journal Supplement Series and Astronomy and Astrophysics.

In The Last Decade

Valerio Busillo

5 papers receiving 11 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Valerio Busillo Italy 3 13 8 4 4 2 8 17
N. Šarčević United Kingdom 2 18 1.4× 10 1.3× 3 0.8× 3 0.8× 3 20
V. Vladimirov Russia 2 22 1.7× 7 0.9× 5 1.3× 7 1.8× 13 23
Wei Leong Tee United States 3 19 1.5× 7 0.9× 2 0.5× 4 1.0× 5 23
V. Yurkov Russia 3 22 1.7× 7 0.9× 4 1.0× 7 1.8× 7 23
S. Bekeraité Germany 2 18 1.4× 11 1.4× 2 0.5× 4 1.0× 2 18
Y. Sergienko Russia 2 18 1.4× 6 0.8× 2 0.5× 6 1.5× 5 18
Piotr Wawer Poland 3 12 0.9× 5 0.6× 7 1.8× 4 1.0× 1 0.5× 5 17
E. Licata Italy 2 12 0.9× 4 0.5× 2 0.5× 3 0.8× 1 0.5× 4 16
Brian L. Refsdal United States 3 9 0.7× 4 0.5× 2 0.5× 4 1.0× 6 12
M. C. Díaz United States 3 31 2.4× 8 1.0× 2 0.5× 4 1.0× 4 34

Countries citing papers authored by Valerio Busillo

Since Specialization
Citations

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

Fields of papers citing papers by Valerio Busillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valerio Busillo

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

All Works

8 of 8 papers shown
1.
Tortora, C., Valerio Busillo, N. R. Napolitano, et al.. (2025). CASCO: Cosmological and AStrophysical parameters from Cosmological simulations and Observations. Astronomy and Astrophysics. 702. A177–A177.
2.
Busillo, Valerio, L. Ulivi, I.T Andika, et al.. (2025). Euclid: Searches for strong gravitational lenses using convolutional neural nets in Early Release Observations of the Perseus field. Astronomy and Astrophysics. 696. A214–A214. 2 indexed citations
3.
Napolitano, N. R., C. Tortora, Rui Li, et al.. (2025). Galaxy–Galaxy Strong Lensing with U-Net (GGSL-UNet). I. Extracting Two-dimensional Information from Multiband Images in Ground and Space Observations. The Astrophysical Journal Supplement Series. 277(1). 12–12. 1 indexed citations
4.
Busillo, Valerio, et al.. (2024). CASCO: Cosmological and AStrophysical parameters from Cosmological simulations and Observations. Astronomy and Astrophysics. 693. A112–A112.
5.
Koopmans, L. V. E., E. A. Valentijn, G. Verdoes Kleijn, et al.. (2024). Automation of finding strong gravitational lenses in the Kilo Degree Survey with U – DenseLens (DenseLens  + Segmentation). Monthly Notices of the Royal Astronomical Society. 533(2). 1426–1441. 2 indexed citations
6.
Busillo, Valerio, G. Covone, M. Sereno, et al.. (2023). AMICO galaxy clusters in KiDS-DR3: Constraints on ΛCDM from extreme value statistics. Monthly Notices of the Royal Astronomical Society. 524(4). 5050–5059. 2 indexed citations
7.
Romanello, M., F. Marulli, L. Moscardini, et al.. (2023). AMICO galaxy clusters in KiDS-DR3: Cosmological constraints from the angular power spectrum and correlation function. Astronomy and Astrophysics. 682. A72–A72. 6 indexed citations
8.
Busillo, Valerio, C. Tortora, N. R. Napolitano, et al.. (2023). CASCO: Cosmological and AStrophysical parameters from Cosmological simulations and Observations – I. Constraining physical processes in local star-forming galaxies. Monthly Notices of the Royal Astronomical Society. 525(4). 6191–6213. 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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