S. Pires

4.6k total citations
21 papers, 546 citations indexed

About

S. Pires is a scholar working on Astronomy and Astrophysics, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, S. Pires has authored 21 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Astronomy and Astrophysics, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in S. Pires's work include Galaxies: Formation, Evolution, Phenomena (10 papers), Cosmology and Gravitation Theories (6 papers) and Adaptive optics and wavefront sensing (4 papers). S. Pires is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (10 papers), Cosmology and Gravitation Theories (6 papers) and Adaptive optics and wavefront sensing (4 papers). S. Pires collaborates with scholars based in France, United States and United Kingdom. S. Pires's co-authors include R. Massey, Jean‐Luc Starck, J. Amiaux, M. Cropper, M. Meneghetti, Y. Mellier, T. Kitching, Henk Hoekstra, R. Scaramella and L. Miller and has published in prestigious journals such as Nature, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

S. Pires

20 papers receiving 528 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Pires France 11 457 149 127 116 58 21 546
Yashar Hezaveh Canada 14 583 1.3× 146 1.0× 116 0.9× 92 0.8× 31 0.5× 31 727
Mike Jarvis United States 13 667 1.5× 241 1.6× 125 1.0× 180 1.6× 88 1.5× 32 785
S. L. Bridle United Kingdom 5 682 1.5× 246 1.7× 145 1.1× 115 1.0× 43 0.7× 6 743
Tomasz Kacprzak Switzerland 12 536 1.2× 161 1.1× 124 1.0× 114 1.0× 105 1.8× 26 653
J. Zuntz United Kingdom 13 742 1.6× 197 1.3× 283 2.2× 114 1.0× 79 1.4× 29 829
J. Meyers United States 8 467 1.0× 195 1.3× 166 1.3× 120 1.0× 65 1.1× 29 603
Zuhui Fan China 19 986 2.2× 227 1.5× 247 1.9× 70 0.6× 49 0.8× 67 1.1k
R. Scaramella Italy 17 908 2.0× 356 2.4× 179 1.4× 128 1.1× 59 1.0× 56 996
G. Vernardos Netherlands 17 653 1.4× 253 1.7× 56 0.4× 171 1.5× 56 1.0× 40 754
R. Armstrong United States 11 655 1.4× 242 1.6× 107 0.8× 167 1.4× 115 2.0× 24 779

Countries citing papers authored by S. Pires

Since Specialization
Citations

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

Fields of papers citing papers by S. Pires

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of S. Pires. A scholar is included among the top collaborators of S. Pires 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. Pires. S. Pires 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.
Leroy, G., S. Pires, G. W. Pratt, & C. Giocoli. (2023). Fast multi-scale galaxy cluster detection with weak lensing: Towards a mass-selected sample. Astronomy and Astrophysics. 678. A125–A125. 1 indexed citations
2.
Bergé, Joël, Quentin Baghi, Émilie Hardy, et al.. (2022). MICROSCOPE mission: data analysis principle. Classical and Quantum Gravity. 39(20). 204007–204007. 7 indexed citations
3.
Bergé, Joël, Quentin Baghi, Alain Robert, et al.. (2022). MICROSCOPE mission: statistics and impact of glitches on the test of the weak equivalence principle *. Classical and Quantum Gravity. 39(20). 204008–204008. 6 indexed citations
4.
Lin, Chieh-An, M. Kilbinger, & S. Pires. (2016). A new model to predict weak-lensing peak counts. Astronomy and Astrophysics. 593. A88–A88. 22 indexed citations
5.
Lin, Chieh-An, M. Kilbinger, & S. Pires. (2016). A new model to predict weak-lensing peak counts III. Filtering technique comparisons. arXiv (Cornell University). 593. 12 indexed citations
6.
Pires, S., Jean-Sylvestre Bergé, Quentin Baghi, Pierre Touboul, & Gilles Métris. (2016). Dealing with missing data in the MICROSCOPE space mission: An adaptation of inpainting to handle colored-noise data. Physical review. D. 94(12). 6 indexed citations
7.
Bergé, Jean-Sylvestre, S. Pires, Quentin Baghi, Pierre Touboul, & Gilles Métris. (2015). Dealing with missing data: An inpainting application to the MICROSCOPE space mission. Physical review. D. Particles, fields, gravitation, and cosmology. 92(11). 9 indexed citations
8.
Lemson, Gerard, M. Meneghetti, G. Meylan, Margarita Petkova, & S. Pires. (2014). A PCA-based automated finder for galaxy-scale strong lenses. 24 indexed citations
9.
Pires, S., et al.. (2014). Gap interpolation by inpainting methods: Application to ground and space-based asteroseismic data. Astronomy and Astrophysics. 574. A18–A18. 51 indexed citations
10.
Bergé, Joël, Quentin Baghi, & S. Pires. (2014). Testing the Equivalence Principle in space with MICROSCOPE: the data analysis challenge. Proceedings of the International Astronomical Union. 10(S306). 382–384. 2 indexed citations
11.
Cropper, M., Henk Hoekstra, T. Kitching, et al.. (2013). Defining a weak lensing experiment in space. Monthly Notices of the Royal Astronomical Society. 431(4). 3103–3126. 53 indexed citations
12.
Starck, Jean‐Luc, et al.. (2012). Wavelet Helmholtz decomposition for weak lensing mass map reconstruction. Springer Link (Chiba Institute of Technology). 5 indexed citations
13.
Pires, S., Adrienne Leonard, & Jean‐Luc Starck. (2012). Cosmological constraints from the capture of non-Gaussianity in weak lensing data. Monthly Notices of the Royal Astronomical Society. 423(1). 983–992. 27 indexed citations
14.
Massey, R., Henk Hoekstra, T. Kitching, et al.. (2012). Origins of weak lensing systematics, and requirements on future instrumentation (or knowledge of instrumentation). Monthly Notices of the Royal Astronomical Society. 429(1). 661–678. 114 indexed citations
15.
Björnsson, C.-I., et al.. (2011). Spectral evolution and polarization of variable structures in the pulsar wind nebula of PSR B0540−69.3. Monthly Notices of the Royal Astronomical Society. 413(1). 611–627. 16 indexed citations
16.
Pires, S., S. Plaszczynski, & A. Lavabre. (2011). Towards a fast, model-independent Cosmic Microwave Background bispectrum estimator. Statistical Methodology. 9(1-2). 71–84. 1 indexed citations
17.
Pires, S., Jean‐Luc Starck, & Alexandre Réfrégier. (2009). Light on dark matter with weak gravitational lensing. IEEE Signal Processing Magazine. 27(1). 76–85. 2 indexed citations
18.
Massey, R., Richard S. Ellis, N. Z. Scoville, et al.. (2007). Dark matter maps reveal cosmic scaffolding. Nature. 445(7125). 286–290. 158 indexed citations
19.
Pires, S., et al.. (2007). VARIATION OF THE PRACTICAL PEAK VOLTAGE WITH THE SAMPLE RATE FOR A MAMMOGRAPHY WAVEFORM GENERATOR.
20.
Pires, S., et al.. (2006). Sunyaev-Zel'dovich cluster reconstruction in multiband bolometer camera surveys. Astronomy and Astrophysics. 455(2). 741–755. 16 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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