S. Fromenteau

8.9k total citations
9 papers, 170 citations indexed

About

S. Fromenteau is a scholar working on Astronomy and Astrophysics, Instrumentation and Computer Vision and Pattern Recognition. According to data from OpenAlex, S. Fromenteau has authored 9 papers receiving a total of 170 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Astronomy and Astrophysics, 4 papers in Instrumentation and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in S. Fromenteau's work include Galaxies: Formation, Evolution, Phenomena (6 papers), Astronomy and Astrophysical Research (4 papers) and Cosmology and Gravitation Theories (4 papers). S. Fromenteau is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (6 papers), Astronomy and Astrophysical Research (4 papers) and Cosmology and Gravitation Theories (4 papers). S. Fromenteau collaborates with scholars based in Mexico, United States and Spain. S. Fromenteau's co-authors include M. Vargas-Magaña, F. Masset, Jeff Schneider, Barnabás Póczos, Hy Trac, Michelle Ntampaka, Alejandro Avilés, Ashley J. Ross, Graziano Rossi and Danica J. Sutherland and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Journal of Cosmology and Astroparticle Physics.

In The Last Decade

S. Fromenteau

9 papers receiving 166 citations

Peers

S. Fromenteau

INSTR

NHEP

SNP

Pauline Zarrouk United Kingdom

Rodrigo Cañas Australia

S. Àvila Spain

Albert Izard Spain

Paul C. Czarapata United States

Federico De Luca Italy

Farnik Nikakhtar United States

O. Doré France

Arnaud de Mattia France

Salvador Salazar-Albornoz Germany

Pauline Zarrouk United Kingdom

S. Fromenteau

190 ×1.2

60 ×1.5

INSTR

40 ×1.3

NHEP

18 ×1.1

SNP

17 ×1.3

Citations per year, relative to S. Fromenteau S. Fromenteau (= 1×) peers Pauline Zarrouk

Countries citing papers authored by S. Fromenteau

Since Specialization

Citations

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

Fields of papers citing papers by S. Fromenteau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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9 of 9 papers shown

Icaza-Lizaola, Miguel, et al.. (2024). Full shape cosmology analysis from BOSS in configuration space using neural network acceleration. Journal of Cosmology and Astroparticle Physics. 2024(8). 49–49. 5 indexed citations

Masset, F., et al.. (2023). Evolution of the eccentricity and inclination of low-mass planets subjected to thermal forces: a numerical study. Monthly Notices of the Royal Astronomical Society. 522(1). 678–692. 6 indexed citations

Noriega, H. E., Alejandro Avilés, S. Fromenteau, & M. Vargas-Magaña. (2022). Fast computation of non-linear power spectrum in cosmologies with massive neutrinos. Journal of Cosmology and Astroparticle Physics. 2022(11). 38–38. 17 indexed citations

Nadathur, S., Will J. Percival, M Aubert, et al.. (2020). The completed SDSS-IV extended baryon oscillation spectroscopic survey: geometry and growth from the anisotropic void–galaxy correlation function in the luminous red galaxy sample. Monthly Notices of the Royal Astronomical Society. 499(3). 4140–4157. 50 indexed citations

Fromenteau, S. & F. Masset. (2019). Impact of thermal effects on the evolution of eccentricity and inclination of low-mass planets. Monthly Notices of the Royal Astronomical Society. 485(4). 5035–5049. 19 indexed citations

Icaza-Lizaola, Miguel, M. Vargas-Magaña, S. Fromenteau, et al.. (2019). The clustering of the SDSS-IV extended Baryon Oscillation Spectroscopic Survey DR14 LRG sample: structure growth rate measurement from the anisotropic LRG correlation function in the redshift range 0.6 < z < 1.0. Monthly Notices of the Royal Astronomical Society. 492(3). 4189–4215. 24 indexed citations

Ravanbakhsh, Siamak, Junier B. Oliva, S. Fromenteau, et al.. (2017). Estimating Cosmological Parameters from the Dark Matter Distribution. arXiv (Cornell University). 2407–2416. 5 indexed citations

Vargas-Magaña, M., Shirley Ho, S. Fromenteau, & Antonio J. Cuesta. (2017). The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: Effect of smoothing of density field on reconstruction and anisotropic BAO analysis.. Monthly Notices of the Royal Astronomical Society. stx048–stx048. 12 indexed citations

Ntampaka, Michelle, Hy Trac, Danica J. Sutherland, et al.. (2016). DYNAMICAL MASS MEASUREMENTS OF CONTAMINATED GALAXY CLUSTERS USING MACHINE LEARNING. The Astrophysical Journal. 831(2). 135–135. 32 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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