A. Boucaud

2.1k total citations
10 papers, 118 citations indexed

About

A. Boucaud is a scholar working on Astronomy and Astrophysics, Atomic and Molecular Physics, and Optics and Instrumentation. According to data from OpenAlex, A. Boucaud has authored 10 papers receiving a total of 118 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Astronomy and Astrophysics, 3 papers in Atomic and Molecular Physics, and Optics and 3 papers in Instrumentation. Recurrent topics in A. Boucaud's work include Adaptive optics and wavefront sensing (3 papers), Astronomy and Astrophysical Research (3 papers) and Galaxies: Formation, Evolution, Phenomena (3 papers). A. Boucaud is often cited by papers focused on Adaptive optics and wavefront sensing (3 papers), Astronomy and Astrophysical Research (3 papers) and Galaxies: Formation, Evolution, Phenomena (3 papers). A. Boucaud collaborates with scholars based in France, United States and Switzerland. A. Boucaud's co-authors include Marco Bocchio, H. Dole, François Orieux, A. Abergel, François Lanusse, Minas Karamanis, Yin Li, Santiago Casas, J. Zuntz and J.E. Campagne and has published in prestigious journals such as SHILAP Revista de lepidopterología, Monthly Notices of the Royal Astronomical Society and Astronomy and Astrophysics.

In The Last Decade

A. Boucaud

7 papers receiving 111 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. Boucaud France	4	79	33	18	17	14	10	118
Colin J. Burke United States	7	120 1.5×	49 1.5×	21 1.2×	14 0.8×	11 0.8×	16	163
R. Joseph United States	7	107 1.4×	43 1.3×	16 0.9×	12 0.7×	9 0.6×	8	128
G. H. Sembroski United States	3	59 0.7×	31 0.9×	10 0.6×	13 0.8×	9 0.6×	5	95
Sara Frederick United States	5	118 1.5×	15 0.5×	22 1.2×	8 0.5×	14 1.0×	7	151
N. Kuropatkin United States	3	58 0.7×	23 0.7×	8 0.4×	29 1.7×	10 0.7×	6	90
T. Kuntzer Switzerland	5	126 1.6×	37 1.1×	15 0.8×	13 0.8×	9 0.6×	8	150
Alex I. Malz United States	9	124 1.6×	50 1.5×	30 1.7×	8 0.5×	15 1.1×	23	161
D. Novikov Russia	5	147 1.9×	44 1.3×	23 1.3×	21 1.2×	10 0.7×	12	166
L. Delchambre Belgium	6	107 1.4×	64 1.9×	9 0.5×	8 0.5×	12 0.9×	13	155
C. Sánchez Spain	7	123 1.6×	51 1.5×	16 0.9×	12 0.7×	6 0.4×	12	147

Countries citing papers authored by A. Boucaud

Since Specialization

Citations

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

Fields of papers citing papers by A. Boucaud

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Boucaud

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Lanusse, François, et al.. (2025). Simulation-based inference benchmark for weak lensing cosmology. Astronomy and Astrophysics. 699. A327–A327. 1 indexed citations

2.

Boucaud, A., et al.. (2025). MADNESS deblender. Maximum A posteriori with Deep NEural networks for Source Separation. Astronomy and Astrophysics.

3.

Boucaud, A., et al.. (2025). Optimal neural summarization for full-field weak lensing cosmological implicit inference. Astronomy and Astrophysics. 697. A162–A162. 5 indexed citations

4.

Boucaud, A., Camille Avestruz, É. Aubourg, et al.. (2025). The Blending ToolKit: A simulation framework for evaluation of galaxy detection and deblending. The Open Journal of Astrophysics. 8.

5.

Campagne, J.E., François Lanusse, J. Zuntz, et al.. (2023). JAX-COSMO: An End-to-End Differentiable and GPU Accelerated Cosmology Library. SHILAP Revista de lepidopterología. 6. 36 indexed citations

6.

Boucaud, A., Caroline Heneka, Émille E. O. Ishida, et al.. (2019). Photometry of high-redshift blended galaxies using deep learning. Monthly Notices of the Royal Astronomical Society. 491(2). 2481–2495. 40 indexed citations

7.

Bossche, Joris Van den, et al.. (2018). Automated detection of planetary craters: open and reproducible benchmark platform for the Martian surface. eSpace (Curtin University). 1 indexed citations

8.

Boucaud, A., et al.. (2016). Convolution kernels for multi-wavelength imaging. Astronomy and Astrophysics. 596. A63–A63. 33 indexed citations

9.

Boucaud, A.. (2016). pypher: Python PSF Homogenization kERnels. INFM-OAR (INFN Catania). 2 indexed citations

10.

Boucaud, A., et al.. (2016). PSF homogenization for multi-band photometry from space on extended objects. EAS Publications Series. 78-79. 275–285.

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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