A. Amara

11.0k total citations
83 papers, 2.4k citations indexed

About

A. Amara is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, A. Amara has authored 83 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Astronomy and Astrophysics, 26 papers in Instrumentation and 18 papers in Nuclear and High Energy Physics. Recurrent topics in A. Amara's work include Galaxies: Formation, Evolution, Phenomena (56 papers), Cosmology and Gravitation Theories (33 papers) and Astronomy and Astrophysical Research (26 papers). A. Amara is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (56 papers), Cosmology and Gravitation Theories (33 papers) and Astronomy and Astrophysical Research (26 papers). A. Amara collaborates with scholars based in Switzerland, United Kingdom and France. A. Amara's co-authors include Alexandre Réfrégier, Simon Birrer, Romain Teyssier, Aurel Schneider, Tomasz Kacprzak, Janis Fluri, Andrina Nicola, Thomas Hofmann, Aurélien Lucchi and Sascha P. Quanz 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

A. Amara

81 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Amara Switzerland 26 2.2k 604 450 372 155 83 2.4k
Zarija Lukić United States 25 952 0.4× 301 0.5× 487 1.1× 371 1.0× 63 0.4× 93 1.9k
L. Sodré Brazil 21 2.7k 1.3× 1.4k 2.3× 361 0.8× 101 0.3× 146 0.9× 93 3.0k
J. P. Dietrich Germany 19 1.4k 0.7× 597 1.0× 332 0.7× 212 0.6× 132 0.9× 35 1.6k
S. C. Trager Netherlands 31 3.3k 1.5× 1.8k 2.9× 290 0.6× 208 0.6× 97 0.6× 98 3.5k
S. Dye United Kingdom 33 4.7k 2.2× 2.0k 3.3× 669 1.5× 407 1.1× 187 1.2× 87 4.8k
J. Blaizot France 32 3.7k 1.7× 1.7k 2.8× 683 1.5× 147 0.4× 120 0.8× 72 3.9k
Daniel Foreman-Mackey United States 27 3.2k 1.5× 1.1k 1.8× 316 0.7× 153 0.4× 37 0.2× 84 3.6k
F. K. Hansen Germany 6 2.8k 1.3× 362 0.6× 1.2k 2.6× 96 0.3× 175 1.1× 9 3.4k
D. Mortlock United Kingdom 30 2.6k 1.2× 595 1.0× 731 1.6× 123 0.3× 84 0.5× 80 2.9k
Joshua S. Speagle United States 17 2.5k 1.2× 786 1.3× 300 0.7× 108 0.3× 36 0.2× 60 2.7k

Countries citing papers authored by A. Amara

Since Specialization
Citations

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

Fields of papers citing papers by A. Amara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of A. Amara. A scholar is included among the top collaborators of A. Amara 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. Amara. A. Amara 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.
Kacprzak, Tomasz, et al.. (2025). galsbi: A Python package for the GalSBI galaxy population model. The Journal of Open Source Software. 10(114). 8766–8766. 1 indexed citations
2.
Umetsu, Keiichi, et al.. (2022). Likelihood-free Forward Modeling for Cluster Weak Lensing and Cosmology. The Astrophysical Journal. 925(2). 145–145. 7 indexed citations
3.
Newsom, Richard, et al.. (2022). Detection of dental fomites using topical fluorescein. BDJ.
4.
Newsom, Richard, A. Amara, Alexander Hicks, et al.. (2021). Comparison of droplet spread in standard and laminar flow operating theatres: SPRAY study group. Journal of Hospital Infection. 110. 194–200. 11 indexed citations
5.
Stolker, T., S. P. Quanz, A. Amara, et al.. (2019). PynPoint: a modular pipeline architecture for processing and analysis of high-contrast imaging data. Springer Link (Chiba Institute of Technology). 43 indexed citations
6.
Nicola, Andrina, A. Amara, & Alexandre Réfrégier. (2019). Consistency tests in cosmology using relative entropy. Journal of Cosmology and Astroparticle Physics. 2019(1). 11–11. 29 indexed citations
7.
Schneider, Aurel, Romain Teyssier, Joachim Stadel, et al.. (2019). Quantifying baryon effects on the matter power spectrum and the weak lensing shear correlation. Journal of Cosmology and Astroparticle Physics. 2019(3). 20–20. 135 indexed citations
8.
Meyer, Michael R., A. Amara, Maddalena Reggiani, & Sascha P. Quanz. (2018). M-dwarf exoplanet surface density distribution. Springer Link (Chiba Institute of Technology). 5 indexed citations
9.
Hunziker, S., S. P. Quanz, A. Amara, & M. R. Meyer. (2018). PCA-based approach for subtracting thermal background emission in high-contrast imaging data. Springer Link (Chiba Institute of Technology). 7 indexed citations
10.
Birrer, Simon & A. Amara. (2018). lenstronomy: Multi-purpose gravitational lens modelling software package. Physics of the Dark Universe. 22. 189–201. 172 indexed citations
11.
Birrer, Simon & A. Amara. (2018). Lenstronomy: Multi-purpose gravitational lens modeling software package. Astrophysics Source Code Library. 3 indexed citations
12.
Chang, C., et al.. (2016). HIDE & SEEK: End-to-end packages to simulate and process radio survey data. Astronomy and Computing. 18. 8–17. 18 indexed citations
13.
Birrer, Simon, A. Amara, & Alexandre Réfrégier. (2016). The mass-sheet degeneracy and time-delay cosmography: analysis of the strong lens RXJ1131-1231. Journal of Cosmology and Astroparticle Physics. 2016(8). 20–20. 66 indexed citations
14.
Grandis, S., et al.. (2015). Quantifying Concordance. arXiv (Cornell University).
15.
Müller, Stefan, Gustavo Alonso, A. Amara, & A. Csillaghy. (2014). Pydron: semi-automatic parallelization for multi-core and the cloud. Operating Systems Design and Implementation. 645–659. 11 indexed citations
16.
Reggiani, Maddalena, Sascha P. Quanz, Michael R. Meyer, et al.. (2014). DISCOVERY OF A COMPANION CANDIDATE IN THE HD 169142 TRANSITION DISK AND THE POSSIBILITY OF MULTIPLE PLANET FORMATION. The Astrophysical Journal Letters. 792(1). L23–L23. 76 indexed citations
17.
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
18.
Paulin‐Henriksson, S., Alexandre Réfrégier, & A. Amara. (2009). Optimal point spread function modeling for weak lensing: complexity and sparsity. Springer Link (Chiba Institute of Technology). 20 indexed citations
19.
Pires, S., Jean‐Luc Starck, A. Amara, Alexandre Réfrégier, & Romain Teyssier. (2009). Cosmological model discrimination with weak lensing. Astronomy and Astrophysics. 505(3). 969–979. 21 indexed citations
20.
Paulin‐Henriksson, S., A. Amara, L. M. Voigt, Alexandre Réfrégier, & S. L. Bridle. (2007). Requirements on PSF Calibration for Dark Energy from Cosmic Shear. 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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