C. Porciani

15.3k total citations · 1 hit paper
77 papers, 4.2k citations indexed

About

C. Porciani is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, C. Porciani has authored 77 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Astronomy and Astrophysics, 34 papers in Instrumentation and 16 papers in Nuclear and High Energy Physics. Recurrent topics in C. Porciani's work include Galaxies: Formation, Evolution, Phenomena (68 papers), Astronomy and Astrophysical Research (34 papers) and Cosmology and Gravitation Theories (28 papers). C. Porciani is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (68 papers), Astronomy and Astrophysical Research (34 papers) and Cosmology and Gravitation Theories (28 papers). C. Porciani collaborates with scholars based in Germany, Italy and Switzerland. C. Porciani's co-authors include Avishai Dekel, Oliver Hahn, C. M. Carollo, Piero Madau, Annalisa Pillepich, P. Norberg, Yehuda Hoffman, Anatoly Klypin, Tsafrir Kolatt and James S. Bullock and has published in prestigious journals such as Physical Review Letters, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

C. Porciani

73 papers receiving 4.1k citations

Hit Papers

A Universal Angular Momentum Profile for Galactic Halos 2001 2026 2009 2017 2001 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Porciani Germany 31 4.0k 1.6k 1.0k 384 201 77 4.2k
Giuseppe Murante Italy 41 4.7k 1.2× 2.2k 1.3× 857 0.9× 458 1.2× 147 0.7× 119 5.2k
Francisco Prada Spain 29 4.0k 1.0× 1.6k 1.0× 1.3k 1.3× 265 0.7× 173 0.9× 89 4.2k
Antonaldo Diaferio Italy 37 4.5k 1.1× 2.2k 1.3× 996 1.0× 390 1.0× 318 1.6× 101 4.6k
L. Moscardini Italy 39 5.2k 1.3× 1.9k 1.2× 1.6k 1.6× 358 0.9× 202 1.0× 182 5.4k
V. R. Eke United Kingdom 33 4.9k 1.2× 1.7k 1.0× 1.5k 1.5× 390 1.0× 131 0.7× 77 5.0k
Aaron D. Ludlow United Kingdom 28 3.9k 1.0× 1.5k 0.9× 1.7k 1.6× 325 0.8× 118 0.6× 56 4.2k
G. A. Mamon France 38 4.3k 1.1× 2.0k 1.2× 825 0.8× 267 0.7× 200 1.0× 155 4.5k
Robert J. Thacker Canada 18 3.6k 0.9× 1.7k 1.0× 629 0.6× 284 0.7× 250 1.2× 32 3.9k
Hugh Couchman Canada 8 3.1k 0.8× 1.5k 0.9× 593 0.6× 284 0.7× 157 0.8× 10 3.3k
Changbom Park South Korea 28 2.7k 0.7× 1.1k 0.7× 593 0.6× 342 0.9× 190 0.9× 138 2.8k

Countries citing papers authored by C. Porciani

Since Specialization
Citations

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

Fields of papers citing papers by C. Porciani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Porciani

This figure shows the co-authorship network connecting the top 25 collaborators of C. Porciani. A scholar is included among the top collaborators of C. Porciani 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 C. Porciani. C. Porciani 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.
Porciani, C., et al.. (2025). Measuring our peculiar velocity from spectroscopic redshift surveys. Journal of Cosmology and Astroparticle Physics. 2025(3). 44–44.
2.
Porciani, C., et al.. (2024). HYACINTH: HYdrogen And Carbon chemistry in the INTerstellar medium in Hydro simulations. Springer Link (Chiba Institute of Technology). 1 indexed citations
3.
Verza, G, C. Carbone, Alice Pisani, C. Porciani, & S. Matarrese. (2024). The universal multiplicity function: counting haloes and voids. Journal of Cosmology and Astroparticle Physics. 2024(10). 79–79. 8 indexed citations
4.
Porciani, C., et al.. (2024). Testing the assumptions of the Effective Field Theory of Large-Scale Structure. Journal of Cosmology and Astroparticle Physics. 2024(1). 51–51. 2 indexed citations
5.
Moretti, Chiara, Kevin Pardede, Alexander Eggemeier, et al.. (2023). The halo bispectrum multipoles in redshift space. Journal of Cosmology and Astroparticle Physics. 2023(1). 31–31. 20 indexed citations
6.
Porciani, C., et al.. (2022). The large-scale monopole of the power spectrum in a Euclid-like survey: Wide-angle effects, lensing, and the 'finger of the observer'. Padua Research Archive (University of Padova). 10 indexed citations
7.
Porciani, C., et al.. (2022). Window function convolution with deep neural network models. Astronomy and Astrophysics. 669. L2–L2. 5 indexed citations
8.
Grassitelli, L., et al.. (2022). Mechanical feedback from stellar winds with an application to galaxy formation at high redshift. Monthly Notices of the Royal Astronomical Society. 512(3). 4573–4592. 10 indexed citations
9.
Sefusatti, E., et al.. (2021). Cosmological parameters from the likelihood analysis of the galaxy power spectrum and bispectrum in real space. ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/). 35 indexed citations
10.
Porciani, C., et al.. (2021). The reach of next-to-leading-order perturbation theory for the matter bispectrum. arXiv (Cornell University). 20 indexed citations
11.
Porciani, C., et al.. (2018). On the streaming model for redshift-space distortions. Monthly Notices of the Royal Astronomical Society. 479(2). 2256–2276. 15 indexed citations
12.
Garaldi, Enrico, et al.. (2017). ZOMG - III. The effect of halo assembly on the satellite population. Monthly Notices of the Royal Astronomical Society. 473(2). 2234–2250. 17 indexed citations
13.
Smith, R. C., et al.. (2014). A new method to measure galaxy bias. Monthly Notices of the Royal Astronomical Society. 440(1). 555–576. 18 indexed citations
14.
Gil-Marín, Héctor, Christian Wagner, Licia Verde, C. Porciani, & Raúl Jiménez. (2012). Perturbation theory approach for the power spectrum: from dark matter in real space to haloes in redshift space. Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona). 29 indexed citations
15.
Pillepich, Annalisa, C. Porciani, & Oliver Hahn. (2009). Halo mass function and scale-dependent bias from N-body simulations with non-Gaussian initial conditions. Monthly Notices of the Royal Astronomical Society. 402(1). 191–206. 121 indexed citations
16.
Hahn, Oliver, C. Porciani, Avishai Dekel, & C. M. Carollo. (2008). The Tidal Origin of the Environment Dependence of Halo Assembly. arXiv (Cornell University). 2 indexed citations
17.
Cantalupo, Sebastiano, C. Porciani, & S. J. Lilly. (2008). Mapping Neutral Hydrogen during Reionization with the Lyα Emission from Quasar Ionization Fronts. The Astrophysical Journal. 672(1). 48–58. 48 indexed citations
18.
Brodwin, M., S. J. Lilly, C. Porciani, et al.. (2004). The Canada-France Deep Fields-Photometric Redshift Survey: An Investigation of Galaxy Evolution Using Photometric Redshifts. TSpace. 205. 1 indexed citations
19.
Magliocchetti, M. & C. Porciani. (2003). The halo distribution of 2dF galaxies. Repository for Publications and Research Data (ETH Zurich). 59 indexed citations
20.
Bullock, James S., Avishai Dekel, Tsafrir Kolatt, et al.. (2001). A Universal Angular Momentum Profile for Galactic Halos. The Astrophysical Journal. 555(1). 240–257. 612 indexed citations breakdown →

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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