S. Prunet

63.4k total citations · 1 hit paper
74 papers, 2.2k citations indexed

About

S. Prunet is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, S. Prunet has authored 74 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Astronomy and Astrophysics, 19 papers in Nuclear and High Energy Physics and 9 papers in Instrumentation. Recurrent topics in S. Prunet's work include Cosmology and Gravitation Theories (34 papers), Galaxies: Formation, Evolution, Phenomena (33 papers) and Radio Astronomy Observations and Technology (20 papers). S. Prunet is often cited by papers focused on Cosmology and Gravitation Theories (34 papers), Galaxies: Formation, Evolution, Phenomena (33 papers) and Radio Astronomy Observations and Technology (20 papers). S. Prunet collaborates with scholars based in France, United States and Canada. S. Prunet's co-authors include K. Benabed, Benjamin Audren, J. Lesgourgues, István Szapudi, Christophe Pichon, D. Pogosyan, F. R. Bouchet, Romain Teyssier, E. Hivon and A. Challinor and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and The Astrophysical Journal Supplement Series.

In The Last Decade

S. Prunet

68 papers receiving 2.1k citations

Hit Papers

Conservative constraints on early cosmology with MONTE PY... 2013 2026 2017 2021 2013 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Prunet France 23 2.0k 923 282 185 81 74 2.2k
Takahiko Matsubara Japan 27 2.3k 1.1× 736 0.8× 531 1.9× 292 1.6× 65 0.8× 72 2.4k
N. Aghanim France 27 2.3k 1.1× 1.2k 1.2× 244 0.9× 126 0.7× 104 1.3× 80 2.4k
Shun Saito Japan 26 2.1k 1.0× 921 1.0× 553 2.0× 119 0.6× 67 0.8× 65 2.3k
J. Colin Hill United States 27 2.1k 1.0× 1.1k 1.2× 232 0.8× 97 0.5× 92 1.1× 86 2.4k
Andrew H. Jaffe United States 25 2.1k 1.0× 889 1.0× 167 0.6× 192 1.0× 151 1.9× 63 2.3k
Marc Manera United Kingdom 24 2.6k 1.3× 1.4k 1.5× 448 1.6× 183 1.0× 122 1.5× 37 2.8k
Olivier Doré United States 27 2.8k 1.4× 1.3k 1.4× 396 1.4× 172 0.9× 107 1.3× 76 2.9k
Hee‐Jong Seo United States 26 2.5k 1.2× 762 0.8× 692 2.5× 189 1.0× 37 0.5× 48 2.6k
E. Sefusatti Italy 24 1.8k 0.9× 744 0.8× 466 1.7× 172 0.9× 35 0.4× 42 1.9k
Donghui Jeong United States 25 2.3k 1.1× 923 1.0× 416 1.5× 206 1.1× 119 1.5× 74 2.4k

Countries citing papers authored by S. Prunet

Since Specialization
Citations

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

Fields of papers citing papers by S. Prunet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Prunet

This figure shows the co-authorship network connecting the top 25 collaborators of S. Prunet. A scholar is included among the top collaborators of S. Prunet 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 S. Prunet. S. Prunet 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.
Prunet, S., et al.. (2024). Analytical planar wavefront reconstruction and error estimates for radio detection of extensive air showers. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1072. 170178–170178.
2.
Prunet, S., et al.. (2024). Multi-step reconstruction of radio-interferometric images. Astronomy and Astrophysics. 692. A61–A61.
3.
Prunet, S., et al.. (2024). Shape measurement of radio galaxies using Equivariant CNNs. SPIRE - Sciences Po Institutional REpository. 2377–2381.
4.
Macías, Oscar, A. Benoit-Lévy, Valentin Decoene, et al.. (2024). Reconstruction of highly inclined extensive air showers in GRAND. SPIRE - Sciences Po Institutional REpository. 62–62.
5.
Aimé, C., S. Prunet, C. Theys, A. Ferrari, & H. Lantéri. (2024). A new approach for the numerical calculation of diffraction patterns using starshades. Astronomy and Astrophysics. 686. A240–A240.
6.
Rousseau-Nepton, Laurie, S. Prunet, Julie Hlavacek-Larrondo, et al.. (2023). A machine learning approach to galactic emission-line region classification. HAL (Le Centre pour la Communication Scientifique Directe). 2(1). 345–359. 3 indexed citations
7.
Mukherjee, Dipanjan, A. Y. Wagner, F. Combes, et al.. (2023). Star formation in a massive spiral galaxy with a radio-AGN. Astronomy and Astrophysics. 676. A35–A35. 7 indexed citations
8.
Draper, Stark C., S. Fabbro, William Mahoney, et al.. (2021). Uncertainty-Aware Learning for Improvements in Image Quality of the Canada-France-Hawaii Telescope. arXiv (Cornell University). 4 indexed citations
9.
Flagey, Nicolas, et al.. (2020). Wide field-of-view study of the Eagle Nebula with the Fourier transform imaging spectrograph SITELLE at CFHT. Springer Link (Chiba Institute of Technology). 5 indexed citations
10.
Audren, Benjamin, Julien Lesgourgues, K. Benabed, & S. Prunet. (2013). Monte Python: Monte Carlo code for CLASS in Python. Astrophysics Source Code Library. 4 indexed citations
11.
Prunet, S. & Christophe Pichon. (2013). MPgrafic: A parallel MPI version of Grafic-1. Astrophysics Source Code Library. 2 indexed citations
12.
Challinor, A., Gayoung Chon, Stéphane Colombi, et al.. (2011). PolSpice: Spatially Inhomogeneous Correlation Estimator for Temperature and Polarisation. Astrophysics Source Code Library. 6 indexed citations
13.
Colombi, Stéphane, et al.. (2011). Extreme value statistics of smooth Gaussian random fields. Oxford University Research Archive (ORA) (University of Oxford). 11 indexed citations
14.
Teyssier, Romain, S. Pires, S. Prunet, et al.. (2009). Full-sky weak-lensing simulation with 70 billion particles. Springer Link (Chiba Institute of Technology). 79 indexed citations
15.
Pichon, Christophe, S. Prunet, K. Benabed, et al.. (2009). aski: full-sky lensing map-making algorithms. Monthly Notices of the Royal Astronomical Society. 401(2). 705–726. 13 indexed citations
16.
Basak, S., S. Prunet, & K. Benabed. (2009). Simulating weak lensing of CMB maps. Astronomy and Astrophysics. 508(1). 53–62. 3 indexed citations
17.
Baccigalupi, C., A. Balbi, J. G. Bartlett, et al.. (2007). Making maps from Planck LFI 30 GHz data. Astronomy and Astrophysics. 471(1). 361–380. 14 indexed citations
18.
Prunet, S., Romain Teyssier, Sean T. Scully, F. R. Bouchet, & R. Gispert. (2001). Error estimation for the MAP experiment. Springer Link (Chiba Institute of Technology). 5 indexed citations
19.
Doré, O., Romain Teyssier, F. R. Bouchet, D. Vibert, & S. Prunet. (2001). MAPCUMBA: A fast iterative multi-grid map-making algorithm for CMB experiments. Astronomy and Astrophysics. 374(1). 358–370. 43 indexed citations
20.
Lesgourgues, Julien, S. Prunet, & David Polarski. (1998). Parameters extraction by Planck for a CDM model with BSI steplike primordial spectrum and cosmological constant. arXiv (Cornell University). 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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