M. A. Álvarez

11.2k total citations
17 papers, 78 citations indexed

About

M. A. Álvarez is a scholar working on Astronomy and Astrophysics, Instrumentation and Artificial Intelligence. According to data from OpenAlex, M. A. Álvarez has authored 17 papers receiving a total of 78 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Astronomy and Astrophysics, 5 papers in Instrumentation and 5 papers in Artificial Intelligence. Recurrent topics in M. A. Álvarez's work include Stellar, planetary, and galactic studies (9 papers), Astronomy and Astrophysical Research (5 papers) and Astronomical Observations and Instrumentation (4 papers). M. A. Álvarez is often cited by papers focused on Stellar, planetary, and galactic studies (9 papers), Astronomy and Astrophysical Research (5 papers) and Astronomical Observations and Instrumentation (4 papers). M. A. Álvarez collaborates with scholars based in Spain, Italy and France. M. A. Álvarez's co-authors include Carlos Dafonte, D. Garabato, M. Manteiga, H. Zhao, E. Spitoni, A. Recio–Blanco, P. A. Palicio, G. Kordopatis, C. Ordénovic and R. Andrae and has published in prestigious journals such as SHILAP Revista de lepidopterología, Monthly Notices of the Royal Astronomical Society and Sensors.

In The Last Decade

M. A. Álvarez

12 papers receiving 68 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. A. Álvarez Spain	5	58	27	13	9	6	17	78
R. Borrachero Spain	3	81 1.4×	49 1.8×	10 0.8×	10 1.1×	4 0.7×	5	95
D. Kirk United Kingdom	4	56 1.0×	19 0.7×	7 0.5×	8 0.9×	5 0.8×	5	61
Pierre-Henri Carton France	5	35 0.6×	20 0.7×	11 0.8×	3 0.3×	10 1.7×	10	60
A. Karampelas Greece	7	102 1.8×	50 1.9×	10 0.8×	7 0.8×	11 1.8×	18	121
I.T Andika Germany	5	49 0.8×	21 0.8×	6 0.5×	6 0.7×	6 1.0×	14	69
Maximilian von Wietersheim-Kramsta United Kingdom	5	65 1.1×	32 1.2×	5 0.4×	4 0.4×	14 2.3×	8	78
Yihan Song China	8	155 2.7×	83 3.1×	18 1.4×	4 0.4×	8 1.3×	18	173
Sara Webb Australia	5	59 1.0×	9 0.3×	10 0.8×	8 0.9×	17 2.8×	9	80
Ross O’Connell United States	6	95 1.6×	36 1.3×	5 0.4×	5 0.6×	8 1.3×	7	103
Andrew W. Mayo United States	5	64 1.1×	31 1.1×	10 0.8×	3 0.3×		7	74

Countries citing papers authored by M. A. Álvarez

Since Specialization

Citations

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

Fields of papers citing papers by M. A. Álvarez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. A. Álvarez

This figure shows the co-authorship network connecting the top 25 collaborators of M. A. Álvarez. A scholar is included among the top collaborators of M. A. Álvarez 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. A. Álvarez. M. A. Álvarez 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:

17 of 17 papers shown

Santoveña, R., et al.. (2025). Disentangling stellar atmospheric parameters in astronomical spectra using generative adversarial neural networks. Astronomy and Astrophysics. 694. A326–A326.

Álvarez, M. A., Leila L. Graef, & Robert Brandenberger. (2025). Back-Reaction of Super-Hubble Fluctuations, Late Time Tracking, and Recent Observational Results. Symmetry. 17(9). 1507–1507.

Vázquez, C. Viscasillas, E. Solano, A. Ulla, et al.. (2024). Advanced classification of hot subdwarf binaries using artificial intelligence techniques and Gaia DR3 data. Astronomy and Astrophysics. 691. A223–A223. 1 indexed citations

Contursi, G., P. de Laverny, A. Recio–Blanco, et al.. (2022). The cerium content of the Milky Way as revealed by Gaia DR3 GSP-Spec abundances. Astronomy and Astrophysics. 670. A106–A106. 14 indexed citations

Kordopatis, G., P. J. McMillan, P. A. Palicio, et al.. (2022). Stellar ages, masses, extinctions, and orbital parameters based on spectroscopic parameters ofGaiaDR3. Astronomy and Astrophysics. 669. A104–A104. 31 indexed citations

Solano, E., A. Ulla, C. Rodrigo, et al.. (2022). Identification of new hot subdwarf binary systems by means of Virtual Observatory tools. Monthly Notices of the Royal Astronomical Society. 514(3). 4239–4245. 4 indexed citations

Laverny, P. de, et al.. (2021). The AMBRE Project: Origin and evolution of sulfur in the Milky Way. Springer Link (Chiba Institute of Technology). 2 indexed citations

Álvarez, M. A., Carlos Dafonte, M. Manteiga, D. Garabato, & R. Santoveña. (2021). GUASOM: an adaptive visualization tool for unsupervised clustering in spectrophotometric astronomical surveys. Neural Computing and Applications. 34(3). 1993–2006. 4 indexed citations

Dafonte, Carlos, et al.. (2019). Network Data Flow Clustering based on Unsupervised Learning. RUC (Universidade Da Coruña). 71. 1–5. 1 indexed citations

10.

Dafonte, Carlos, et al.. (2018). Network Data Unsupervised Clustering to Anomaly Detection. SHILAP Revista de lepidopterología. 1173–1173. 1 indexed citations

11.

Dafonte, Carlos, D. Garabato, M. A. Álvarez, & M. Manteiga. (2018). Distributed Fast Self-Organized Maps for Massive Spectrophotometric Data Analysis †. Sensors. 18(5). 1419–1419. 6 indexed citations

12.

Garabato, D., et al.. (2015). A distributed learning algorithm for Self-Organizing Maps intended for outlier analysis in the GAIA – ESA mission. Advances in intelligent systems research. 4 indexed citations

13.

Fustes, Diego, M. Manteiga, Carlos Dafonte, et al.. (2014). GUASOM: Gaia Utility for Analysis and Knowledge Discovery based on Self Organizing Maps. EAS Publications Series. 67-68. 373–373. 1 indexed citations

14.

Machado, L. Fox, et al.. (2011). ASTEROSEISMOLOGY OF THE DELTA SCUTI STAR V650 TAURI. Redalyc (Universidad Autónoma del Estado de México). 40. 237–238.

15.

Michel, E., L. Fox Machado, M. A. Álvarez, et al.. (2004). 9+ frequencies for V534 Tauri, aδScuti variable in the Pleiades. Astronomy and Astrophysics. 420(1). 283–287. 8 indexed citations

16.

Michel, E., M. A. Álvarez, A Baglin, et al.. (1994). Time-resolved photometry of BN and BU Cancri, two delta Scuti stars in Praesepe cluster. Fourth photometry campaign of the STEPHI network.. 283(1). 121–128.

17.

Belmonte, Juan Antonio, M. Chevreton, A. Mangeney, et al.. (1991). Rapid photometry of the delta Scuti variable 63 Herculis and of the F2V star HD 155543 : observations and analysis of the time series.. 246(1). 71–83. 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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