L. Pagano

80.4k total citations
49 papers, 849 citations indexed

About

L. Pagano is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Statistical and Nonlinear Physics. According to data from OpenAlex, L. Pagano has authored 49 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Astronomy and Astrophysics, 31 papers in Nuclear and High Energy Physics and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in L. Pagano's work include Cosmology and Gravitation Theories (44 papers), Galaxies: Formation, Evolution, Phenomena (18 papers) and Dark Matter and Cosmic Phenomena (17 papers). L. Pagano is often cited by papers focused on Cosmology and Gravitation Theories (44 papers), Galaxies: Formation, Evolution, Phenomena (18 papers) and Dark Matter and Cosmic Phenomena (17 papers). L. Pagano collaborates with scholars based in Italy, France and United States. L. Pagano's co-authors include A. Melchiorri, L. Salvati, M. Gerbino, A. Gruppuso, Asantha Cooray, M. Lattanzi, Giulia Gubitosi, Paolo Natoli, Erminia Calabrese and Eric V. Linder and has published in prestigious journals such as Physical Review Letters, The Astrophysical Journal and Physics Letters B.

In The Last Decade

L. Pagano

45 papers receiving 829 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L. Pagano Italy 19 781 599 79 66 40 49 849
Kuantay Boshkayev Kazakhstan 16 548 0.7× 320 0.5× 51 0.6× 51 0.8× 18 0.5× 59 580
S. Yoshida Japan 20 1.1k 1.4× 362 0.6× 82 1.0× 24 0.4× 32 0.8× 49 1.1k
S. Padin United States 8 713 0.9× 412 0.7× 17 0.2× 48 0.7× 39 1.0× 16 753
P. B. Ivanov Russia 16 1.2k 1.5× 449 0.7× 52 0.7× 31 0.5× 27 0.7× 44 1.2k
Ashok K. Singal India 13 437 0.6× 255 0.4× 17 0.2× 42 0.6× 74 1.9× 50 479
Guillermo F. Rubilar Chile 14 508 0.7× 341 0.6× 40 0.5× 122 1.8× 139 3.5× 25 578
R. Moderski Poland 19 1.1k 1.4× 985 1.6× 12 0.2× 50 0.8× 39 1.0× 44 1.2k
Kai Liao China 17 781 1.0× 207 0.3× 34 0.4× 15 0.2× 54 1.4× 47 815
S. Bouquillon France 11 274 0.4× 115 0.2× 52 0.7× 89 1.3× 40 1.0× 17 317
Yuan-Pei Yang China 18 863 1.1× 167 0.3× 25 0.3× 8 0.1× 31 0.8× 47 890

Countries citing papers authored by L. Pagano

Since Specialization
Citations

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

Fields of papers citing papers by L. Pagano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Pagano

This figure shows the co-authorship network connecting the top 25 collaborators of L. Pagano. A scholar is included among the top collaborators of L. Pagano 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 L. Pagano. L. Pagano 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.
Giardiello, S., Adriaan J. Duivenvoorden, Erminia Calabrese, et al.. (2025). Modeling beam chromaticity for high-resolution CMB analyses. Physical review. D. 111(4).
2.
Calabrese, Erminia, et al.. (2024). A halo model approach to describe clustering and emission of the two main star-forming galaxy populations for cosmic infrared background studies. Astronomy and Astrophysics. 692. A190–A190. 1 indexed citations
3.
Giardiello, S., M. Gerbino, L. Pagano, et al.. (2024). The Simons Observatory: impact of bandpass, polarization angle and calibration uncertainties on small-scale power spectrum analysis. Journal of Cosmology and Astroparticle Physics. 2024(9). 8–8. 2 indexed citations
4.
Namikawa, Toshiya, S. Azzoni, Irene Abril-Cabezas, et al.. (2024). The Simons Observatory: Combining cross-spectral foreground cleaning with multitracer B-mode delensing for improved constraints on inflation. Physical review. D. 110(4). 7 indexed citations
5.
Grillo, C., L. Pagano, P. Rosati, & S. H. Suyu. (2024). Cosmography with supernova Refsdal through time-delay cluster lensing: Independent measurements of the Hubble constant and geometry of the Universe. Astronomy and Astrophysics. 684. L23–L23. 22 indexed citations
6.
Maffei, B., et al.. (2024). Preparing future instrument to high-precision spectroscopy of the cosmic microwave background. SPIRE - Sciences Po Institutional REpository. 4. 232–232.
7.
Melchiorri, A., et al.. (2023). No evidence for EDE from Planck data in extended scenarios. Journal of High Energy Astrophysics. 39. 14–20. 8 indexed citations
8.
Giardiello, S., et al.. (2023). Probing Lorentz-violating electrodynamics with CMB polarization. Journal of Cosmology and Astroparticle Physics. 2023(3). 18–18. 12 indexed citations
9.
Krachmalnicoff, N., et al.. (2023). Inference of the optical depth to reionization τ from Planck CMB maps with convolutional neural networks. Astronomy and Astrophysics. 676. A30–A30. 3 indexed citations
10.
Lattanzi, M., et al.. (2021). Cosmic Microwave Background Polarization as a Tool to Constrain the Optical Properties of the Universe. Physical Review Letters. 127(1). 11301–11301. 7 indexed citations
11.
Giardiello, S., M. Gerbino, L. Pagano, et al.. (2021). Detailed study of HWP non-idealities and their impact on future measurements of CMB polarization anisotropies from space. Astronomy and Astrophysics. 658. A15–A15. 8 indexed citations
12.
Pagano, L., M. Lattanzi, M. Migliaccio, et al.. (2020). A novel CMB polarization likelihood package for large angular scales built from combined WMAP and Planck LFI legacy maps. Astronomy and Astrophysics. 644. A32–A32. 9 indexed citations
13.
Gerbino, M., M. Lattanzi, M. Migliaccio, et al.. (2020). Likelihood Methods for CMB Experiments. Frontiers in Physics. 8. 15 indexed citations
14.
D’Alessandro, G., L. Mele, F. Columbro, et al.. (2019). Systematic effects induced by half-wave plate precession into measurements of the cosmic microwave background polarization. Astronomy and Astrophysics. 627. A160–A160. 5 indexed citations
15.
Archidiacono, Maria, Francesco De Bernardis, Asantha Cooray, et al.. (2012). Amplitudes of thermal and kinetic Sunyaev-Zel’dovich signals from small-scale CMB anisotropies. Physical review. D. Particles, fields, gravitation, and cosmology. 85(4). 1 indexed citations
16.
Martinelli, M., Erminia Calabrese, Francesco De Bernardis, et al.. (2011). Constraining modified gravitational theories by weak lensing with Euclid. Physical review. D. Particles, fields, gravitation, and cosmology. 83(2). 24 indexed citations
17.
Valentino, Eleonora Di, A. Melchiorri, & L. Pagano. (2011). TESTING THE INFLATIONARY NULL ENERGY CONDITION WITH CURRENT AND FUTURE COSMIC MICROWAVE BACKGROUND DATA. International Journal of Modern Physics D. 20(7). 1183–1189. 5 indexed citations
18.
Rocha, G., L. Pagano, K. M. Górski, et al.. (2010). Markov chain beam randomization: a study of the impact of PLANCK beam measurement errors on cosmological parameter estimation. Astronomy and Astrophysics. 513. A23–A23.
19.
Calabrese, Erminia, et al.. (2009). Cosmological constraints on the matter equation of state. Physical review. D. Particles, fields, gravitation, and cosmology. 80(6). 30 indexed citations
20.
Gubitosi, Giulia & L. Pagano. (2009). Planck-scale sensitivity of CMB polarization data. Nuclear Physics B - Proceedings Supplements. 194. 69–75. 1 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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