F. Perrotta

82.5k total citations
50 papers, 1.7k citations indexed

About

F. Perrotta is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, F. Perrotta has authored 50 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Astronomy and Astrophysics, 30 papers in Nuclear and High Energy Physics and 6 papers in Instrumentation. Recurrent topics in F. Perrotta's work include Cosmology and Gravitation Theories (35 papers), Galaxies: Formation, Evolution, Phenomena (31 papers) and Dark Matter and Cosmic Phenomena (12 papers). F. Perrotta is often cited by papers focused on Cosmology and Gravitation Theories (35 papers), Galaxies: Formation, Evolution, Phenomena (31 papers) and Dark Matter and Cosmic Phenomena (12 papers). F. Perrotta collaborates with scholars based in Italy, Germany and United States. F. Perrotta's co-authors include Carlo Baccigalupi, S. Matarrese, Matthias Bartelmann, C. Baccigalupi, M. Meneghetti, L. Moscardini, G. de Zotti, G. Tormen, C. Baccigalupi and Klaus Dolag and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Astronomy and Astrophysics.

In The Last Decade

F. Perrotta

49 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. Perrotta Italy 25 1.6k 908 229 96 95 50 1.7k
E. Pierpaoli United States 26 1.7k 1.1× 1.0k 1.1× 267 1.2× 100 1.0× 69 0.7× 74 2.0k
C. Baccigalupi Italy 25 1.5k 0.9× 692 0.8× 225 1.0× 65 0.7× 99 1.0× 87 1.6k
P. B. Lilje Norway 19 1.9k 1.2× 814 0.9× 243 1.1× 180 1.9× 125 1.3× 31 2.0k
C. Burigana Italy 16 1.1k 0.7× 610 0.7× 60 0.3× 105 1.1× 64 0.7× 92 1.2k
N. Odegard United States 16 1.8k 1.1× 830 0.9× 155 0.7× 68 0.7× 78 0.8× 26 1.9k
Rita Tojeiro United Kingdom 24 2.0k 1.2× 683 0.8× 663 2.9× 96 1.0× 84 0.9× 38 2.1k
Ariel G. Sánchez Germany 25 1.7k 1.1× 726 0.8× 466 2.0× 109 1.1× 49 0.5× 59 1.8k
L. Toffolatti Spain 17 751 0.5× 390 0.4× 67 0.3× 44 0.5× 32 0.3× 46 849
A. de Oliveira‐Costa United States 15 1.6k 1.0× 806 0.9× 34 0.1× 106 1.1× 123 1.3× 27 1.6k
L. Cayón Spain 17 1.1k 0.7× 420 0.5× 72 0.3× 116 1.2× 112 1.2× 40 1.2k

Countries citing papers authored by F. Perrotta

Since Specialization
Citations

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

Fields of papers citing papers by F. Perrotta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Perrotta

This figure shows the co-authorship network connecting the top 25 collaborators of F. Perrotta. A scholar is included among the top collaborators of F. Perrotta 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 F. Perrotta. F. Perrotta 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.
Massardi, M., et al.. (2025). SHORES: Serendipitous H-ATLAS-fields Observations of Radio Extragalactic Sources with the ATCA. I. Catalog Generation and Analysis. Publications of the Astronomical Society of the Pacific. 137(1). 14101–14101. 1 indexed citations
2.
Lapi, Andrea, Lumen Boco, F. Perrotta, & M. Massardi. (2024). Semi-Empirical Estimates of the Cosmic Planet Formation Rate. Galaxies. 12(4). 49–49. 1 indexed citations
3.
Perrotta, F., et al.. (2023). The Way of Water: ALMA Resolves H2O Emission Lines in a Strongly Lensed Dusty Star-forming Galaxy at z ∼ 3.1. The Astrophysical Journal. 952(1). 90–90. 1 indexed citations
4.
Lapi, Andrea, et al.. (2023). ALMA Resolves the First Strongly Lensed Optical/Near-IR-darkGalaxy. The Astrophysical Journal. 943(2). 151–151. 6 indexed citations
5.
Boco, Lumen, et al.. (2019). Merging Rates of Compact Binaries in Galaxies: Perspectives for Gravitational Wave Detections. The Astrophysical Journal. 881(2). 157–157. 37 indexed citations
6.
Krachmalnicoff, N., E. Carretti, C. Baccigalupi, et al.. (2018). S–PASS view of polarized Galactic synchrotron at 2.3 GHz as a contaminant to CMB observations. Springer Link (Chiba Institute of Technology). 46 indexed citations
7.
Lapi, Andrea, Zhen-Yi Cai, M. Negrello, et al.. (2015). Radio Observations of Star Forming Galaxies in the SKA era. 82–82. 1 indexed citations
8.
Sandri, M., F. Villa, M. Bersanelli, et al.. (2009). Planckpre-launch status: Low Frequency Instrument optics. Astronomy and Astrophysics. 520. A7–A7. 4 indexed citations
9.
Maio, Umberto, Klaus Dolag, M. Meneghetti, et al.. (2006). Early structure formation in quintessence models and its implications for cosmic reionization from first stars. Monthly Notices of the Royal Astronomical Society. 373(2). 869–878. 37 indexed citations
10.
Meneghetti, M., Matthias Bartelmann, K. Dolag, et al.. (2005). Strong lensing efficiency of galaxy clusters in dark energy cosmologies. Astronomy and Astrophysics. 442(2). 413–422. 30 indexed citations
11.
Acquaviva, Viviana, Carlo Baccigalupi, S. Leach, Andrew R. Liddle, & F. Perrotta. (2005). Structure formation constraints on the Jordan-Brans-Dicke theory. Physical review. D. Particles, fields, gravitation, and cosmology. 71(10). 60 indexed citations
12.
Baccigalupi, Carlo, et al.. (2004). Cosmic microwave background constraints on dark energy dynamics: beyond the power spectrum analysis. arXiv (Cornell University). 2 indexed citations
13.
Dolag, Klaus, Matthias Bartelmann, F. Perrotta, et al.. (2004). Numerical study of halo concentrations in dark-energy cosmologies. Astronomy and Astrophysics. 416(3). 853–864. 194 indexed citations
14.
Balbi, A., C. Baccigalupi, F. Perrotta, S. Matarrese, & N. Vittorio. (2003). Probing dark energy with the cosmic microwave background: projected constraints from the Wilkinson Microwave Anisotropy Probe and Planck. arXiv (Cornell University). 1 indexed citations
15.
Bartelmann, Matthias, F. Perrotta, & C. Baccigalupi. (2003). Halo concentrations and weak-lensing number counts in dark energy cosmologies. Astronomy and Astrophysics. 400(1). 19–19. 2 indexed citations
16.
Bartelmann, Matthias, M. Meneghetti, F. Perrotta, C. Baccigalupi, & L. Moscardini. (2003). Arc statistics in cosmological models with dark energy. Astronomy and Astrophysics. 409(2). 449–457. 34 indexed citations
17.
Bartelmann, Matthias, F. Perrotta, & C. Baccigalupi. (2002). Halo concentrations and weak-lensing number counts in dark energy cosmologies. Astronomy and Astrophysics. 396(1). 21–30. 36 indexed citations
18.
Baccigalupi, C., C. Burigana, F. Perrotta, et al.. (2001). Power spectrum of the polarized diffuse Galactic radio emission. Astronomy and Astrophysics. 372(1). 8–21. 36 indexed citations
19.
Baccigalupi, C., Luigi Bedini, C. Burigana, et al.. (2000). Neural networks and separation of background and foregrounds in astrophysical sky maps. arXiv (Cornell University). 1 indexed citations
20.
Baccigalupi, C., Luigi Bedini, C. Burigana, et al.. (2000). Neural networks and the separation of cosmic microwave background and astrophysical signals in sky maps. Monthly Notices of the Royal Astronomical Society. 318(3). 769–780. 67 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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