Alejandro Mus

6.5k total citations
9 papers, 72 citations indexed

About

Alejandro Mus is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Alejandro Mus has authored 9 papers receiving a total of 72 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Astronomy and Astrophysics, 5 papers in Nuclear and High Energy Physics and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Alejandro Mus's work include Radio Astronomy Observations and Technology (7 papers), Astrophysics and Cosmic Phenomena (4 papers) and Adaptive optics and wavefront sensing (3 papers). Alejandro Mus is often cited by papers focused on Radio Astronomy Observations and Technology (7 papers), Astrophysics and Cosmic Phenomena (4 papers) and Adaptive optics and wavefront sensing (3 papers). Alejandro Mus collaborates with scholars based in Spain, Germany and United States. Alejandro Mus's co-authors include I. Martí‐Vidal, Hendrik Müller, A. P. Lobanov, Michaël Janssen, P. de Vicente, Maciek Wielgus, José A. Font, José L. Gómez, Alan P. Marscher and I. Agudo and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Astronomy and Astrophysics and Physical review. D.

In The Last Decade

Alejandro Mus

9 papers receiving 64 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alejandro Mus Spain	6	63	38	12	8	8	9	72
Hendrik Müller Germany	6	77 1.2×	47 1.2×	25 2.1×	12 1.5×	13 1.6×	14	97
Iniyan Natarajan South Africa	5	58 0.9×	32 0.8×	5 0.4×	3 0.4×	10 1.3×	8	65
Huanqing Chen United States	6	98 1.6×	27 0.7×	6 0.5×	7 0.9×	4 0.5×	13	119
Maria Fürmetz Germany	5	36 0.6×	22 0.6×	9 0.8×	4 0.5×	16 2.0×	20	57
Daniel Pietschner Germany	7	50 0.8×	55 1.4×	8 0.7×	3 0.4×	15 1.9×	13	92
A. Semena Russia	5	55 0.9×	17 0.4×	7 0.6×		6 0.8×	22	61
Y. Cheng China	6	63 1.0×	17 0.4×	10 0.8×	1 0.1×	11 1.4×	12	96
K. Reil United States	5	49 0.8×	35 0.9×	32 2.7×	4 0.5×	7 0.9×	18	81
Huynh Anh N. Le China	5	82 1.3×	16 0.4×	10 0.8×	4 0.5×	5 0.6×	14	95
D. Starkey United Kingdom	7	139 2.2×	33 0.9×	15 1.3×	3 0.4×	3 0.4×	9	146

Countries citing papers authored by Alejandro Mus

Since Specialization

Citations

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

Fields of papers citing papers by Alejandro Mus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alejandro Mus

This figure shows the co-authorship network connecting the top 25 collaborators of Alejandro Mus. A scholar is included among the top collaborators of Alejandro Mus 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 Alejandro Mus. Alejandro Mus 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

1.

Mus, Alejandro & I. Martí‐Vidal. (2024). New-generation maximum entropy method: a Lagrangian-based algorithm for dynamic reconstruction of interferometric data. Monthly Notices of the Royal Astronomical Society. 528(4). 5537–5557. 4 indexed citations

2.

Müller, Hendrik, et al.. (2024). Identifying synergies between VLBI and STIX imaging. Astronomy and Astrophysics. 684. A47–A47. 5 indexed citations

3.

Mus, Alejandro, Hendrik Müller, & A. P. Lobanov. (2024). Swarm intelligence for full Stokes dynamic imaging reconstruction of interferometric data. Astronomy and Astrophysics. 688. A100–A100. 5 indexed citations

4.

Mus, Alejandro, Hendrik Müller, I. Martí‐Vidal, & A. P. Lobanov. (2024). Using multiobjective optimization to reconstruct interferometric data. Astronomy and Astrophysics. 684. A55–A55. 7 indexed citations

5.

Müller, Hendrik, Alejandro Mus, & A. P. Lobanov. (2023). Using multiobjective optimization to reconstruct interferometric data. Part I. Astronomy and Astrophysics. 675. A60–A60. 13 indexed citations

6.

Mus, Alejandro, et al.. (2022). A first search of transients in the Galactic center from 230 GHz ALMA observations. Astronomy and Astrophysics. 666. A39–A39. 7 indexed citations

7.

Font, José A., et al.. (2021). Stationary models of magnetized viscous tori around a Schwarzschild black hole. Physical review. D. 103(4). 8 indexed citations

8.

Martí‐Vidal, I., S. Müller, Alejandro Mus, et al.. (2020). ALMA full polarization observations of PKS 1830−211 during its record-breaking flare of 2019. Springer Link (Chiba Institute of Technology). 4 indexed citations

9.

Martí‐Vidal, I., et al.. (2020). Polarization calibration techniques for the new-generation VLBI. Astronomy and Astrophysics. 646. A52–A52. 19 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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