M. Fouesneau

33.5k total citations · 1 hit paper
57 papers, 1.6k citations indexed

About

M. Fouesneau is a scholar working on Astronomy and Astrophysics, Instrumentation and Statistical and Nonlinear Physics. According to data from OpenAlex, M. Fouesneau has authored 57 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Astronomy and Astrophysics, 32 papers in Instrumentation and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in M. Fouesneau's work include Stellar, planetary, and galactic studies (52 papers), Astronomy and Astrophysical Research (32 papers) and Astrophysics and Star Formation Studies (30 papers). M. Fouesneau is often cited by papers focused on Stellar, planetary, and galactic studies (52 papers), Astronomy and Astrophysical Research (32 papers) and Astrophysics and Star Formation Studies (30 papers). M. Fouesneau collaborates with scholars based in Germany, United States and United Kingdom. M. Fouesneau's co-authors include Hans‐Walter Rix, R. Andrae, A. Lançon, Coryn A. L. Bailer‐Jones, C. A. L. Bailer‐Jones, Marie Martig, Melissa Ness, Julianne J. Dalcanton, Adrian M. Price-Whelan and Benjamin F. Williams 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

M. Fouesneau

51 papers receiving 1.5k citations

Hit Papers

Gaia Data Release 2 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Fouesneau Germany 24 1.6k 779 82 52 32 57 1.6k
Y. Lebreton France 20 1.6k 1.0× 731 0.9× 64 0.8× 62 1.2× 29 0.9× 101 1.6k
S. Blanco-Cuaresma United States 17 1.1k 0.7× 611 0.8× 64 0.8× 60 1.2× 38 1.2× 39 1.2k
R. F. Díaz France 20 1.1k 0.7× 413 0.5× 46 0.6× 49 0.9× 36 1.1× 62 1.2k
Phillip A. Cargile United States 20 1.9k 1.2× 743 1.0× 66 0.8× 67 1.3× 72 2.3× 55 2.0k
W. S. Dias Brazil 19 1.7k 1.1× 968 1.2× 74 0.9× 41 0.8× 14 0.4× 42 1.8k
T. Borkovits Hungary 20 1.3k 0.8× 579 0.7× 121 1.5× 32 0.6× 31 1.0× 80 1.3k
L. Balaguer-Núñez Spain 21 1.4k 0.9× 870 1.1× 60 0.7× 24 0.5× 14 0.4× 41 1.5k
Jennifer L. van Saders United States 19 1.5k 0.9× 605 0.8× 116 1.4× 28 0.5× 22 0.7× 46 1.5k
J. M. Nemec United States 22 1.3k 0.8× 607 0.8× 101 1.2× 68 1.3× 12 0.4× 67 1.4k
José G. Fernández-Trincado Chile 23 1.8k 1.2× 909 1.2× 52 0.6× 81 1.6× 30 0.9× 108 1.9k

Countries citing papers authored by M. Fouesneau

Since Specialization
Citations

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

Fields of papers citing papers by M. Fouesneau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Fouesneau

This figure shows the co-authorship network connecting the top 25 collaborators of M. Fouesneau. A scholar is included among the top collaborators of M. Fouesneau 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 M. Fouesneau. M. Fouesneau 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.
Castro-Ginard, A., Zephyr Penoyre, Andrew R. Casey, et al.. (2024). Gaia DR3 detectability of unresolved binary systems. Astronomy and Astrophysics. 688. A1–A1. 25 indexed citations
2.
Dharmawardena, T. E., C. A. L. Bailer‐Jones, M. Fouesneau, et al.. (2024). All-sky three-dimensional dust density and extinction Maps of the Milky Way out to 2.8 kpc. Monthly Notices of the Royal Astronomical Society. 532(3). 3480–3498. 8 indexed citations
3.
Rix, Hans‐Walter, et al.. (2024). Autonomous disentangling for spectroscopic surveys. Monthly Notices of the Royal Astronomical Society. 530(2). 1935–1955. 4 indexed citations
4.
Schultheis, M., H. Zhao, T. Zwitter, et al.. (2023). Gaia Focused Product Release: Spatial distribution of two diffuse interstellar bands. Astronomy and Astrophysics. 680. A38–A38. 6 indexed citations
5.
Girardi, L., Michele Trabucchi, Julianne J. Dalcanton, et al.. (2023). Dissecting the Gaia HR diagram – II. The vertical structure of the star formation history across the solar cylinder. Monthly Notices of the Royal Astronomical Society. 527(1). 583–602. 10 indexed citations
6.
Rix, Hans‐Walter, Vedant Chandra, R. Andrae, et al.. (2022). The Poor Old Heart of the Milky Way. The Astrophysical Journal. 941(1). 45–45. 85 indexed citations
7.
Zhao, H., M. Schultheis, Anke Arentsen, et al.. (2022). The Pristine Inner Galaxy Survey (PIGS) – VI. Different vertical distributions between two DIBs at 442.8 nm and 862.1 nm. Monthly Notices of the Royal Astronomical Society. 519(1). 754–766. 2 indexed citations
8.
Gavel, A., R. Andrae, M. Fouesneau, A. J. Korn, & R. Sordo. (2021). Estimating [α/Fe] from Gaia low-resolution BP/RP spectra using the ExtraTrees algorithm. Astronomy and Astrophysics. 656. A93–A93. 11 indexed citations
9.
Jahnkę, K., Christian Fendt, M. Fouesneau, et al.. (2020). An astronomical institute’s perspective on meeting the challenges of the climate crisis. Nature Astronomy. 4(9). 812–815. 23 indexed citations
10.
Sestito, Federico, Nicolas Longeard, Nicolas F. Martin, et al.. (2019). Tracing the formation of the Milky Way through ultra metal-poor stars. Monthly Notices of the Royal Astronomical Society. 484(2). 2166–2180. 75 indexed citations
11.
Bailer‐Jones, C. A. L., et al.. (2018). Three-dimensional dust mapping in the Orion complex, combining Gaia-TGAS, 2MASS, and WISE. eScholarship (California Digital Library). 10 indexed citations
12.
Bailer‐Jones, C. A. L., J. Rybizki, M. Fouesneau, G. Mantelet, & R. Andrae. (2018). VizieR Online Data Catalog: Distances to 1.33 billion stars in Gaia DR2 (Bailer-Jones+, 2018). 1 indexed citations
13.
Rosenfield, Philip, L. Girardi, Benjamin F. Williams, et al.. (2017). A New Approach to Convective Core Overshooting: Probabilistic Constraints from Color–Magnitude Diagrams of LMC Clusters. The Astrophysical Journal. 841(2). 69–69. 14 indexed citations
14.
Johnson, L. Clifton, Julianne J. Dalcanton, Anil C. Seth, et al.. (2015). PHAT Star Clusters in M31: Insight on Environmental Dependence of Star & Cluster Formation. AAS. 225.
15.
VanderPlas, Jacob T., et al.. (2014). AstroML: Machine learning and data mining in astronomy. Astrophysics Source Code Library. 5 indexed citations
16.
Fouesneau, M., L. Clifton Johnson, Daniel R. Weisz, et al.. (2014). THE PANCHROMATIC HUBBLE ANDROMEDA TREASURY. V. AGES AND MASSES OF THE YEAR 1 STELLAR CLUSTERS. The Astrophysical Journal. 786(2). 117–117. 31 indexed citations
17.
Johnson, L. Clifton, Anil C. Seth, Julianne J. Dalcanton, et al.. (2013). The Andromeda Project and PHAT Stellar Clusters. 221.
18.
Fouesneau, M., A. Lançon, Rupali Chandar, & Bradley C. Whitmore. (2012). ANALYZING STAR CLUSTER POPULATIONS WITH STOCHASTIC MODELS: THEHUBBLE SPACE TELESCOPE/WIDE FIELD CAMERA 3 SAMPLE OF CLUSTERS IN M83. The Astrophysical Journal. 750(1). 60–60. 39 indexed citations
19.
Fouesneau, M. & A. Lançon. (2010). Accounting for stochastic fluctuations when analysing the integrated light of star clusters. Springer Link (Chiba Institute of Technology). 70 indexed citations
20.
Scholl, Isabelle, Nicolas Fuller, M. Fouesneau, et al.. (2008). Automatic detection and tracking of filaments for a solar feature database. Annales Geophysicae. 26(2). 243–248. 13 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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