M. Cerviño

3.6k total citations
84 papers, 1.5k citations indexed

About

M. Cerviño is a scholar working on Astronomy and Astrophysics, Instrumentation and Statistical and Nonlinear Physics. According to data from OpenAlex, M. Cerviño has authored 84 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Astronomy and Astrophysics, 43 papers in Instrumentation and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in M. Cerviño's work include Stellar, planetary, and galactic studies (57 papers), Astronomy and Astrophysical Research (42 papers) and Galaxies: Formation, Evolution, Phenomena (34 papers). M. Cerviño is often cited by papers focused on Stellar, planetary, and galactic studies (57 papers), Astronomy and Astrophysical Research (42 papers) and Galaxies: Formation, Evolution, Phenomena (34 papers). M. Cerviño collaborates with scholars based in Spain, Germany and France. M. Cerviño's co-authors include V. Luridiana, R. M. González Delgado, Claus Leitherer, Lucimara P. Martins, P. H. Hauschildt, J. M. Más-Hesse, D. Valls‐Gabaud, J. Knödlseder, G. Meynet and D. Schaerer 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

M. Cerviño

78 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Cerviño Spain 21 1.5k 675 154 65 34 84 1.5k
V. A. Kilborn Australia 21 1.4k 0.9× 641 0.9× 201 1.3× 45 0.7× 19 0.6× 47 1.4k
Terry Bridges United Kingdom 25 1.7k 1.1× 863 1.3× 91 0.6× 54 0.8× 39 1.1× 54 1.7k
D. Pierini Germany 25 1.5k 1.0× 725 1.1× 166 1.1× 53 0.8× 27 0.8× 72 1.6k
F. Marleau United States 21 1.4k 0.9× 652 1.0× 184 1.2× 47 0.7× 51 1.5× 51 1.4k
Kambiz Fathi Sweden 22 1.8k 1.2× 772 1.1× 140 0.9× 57 0.9× 29 0.9× 44 1.8k
Katherine L. Rhode United States 21 1.5k 1.0× 619 0.9× 166 1.1× 58 0.9× 18 0.5× 50 1.5k
Torsten Böker United States 25 1.9k 1.3× 758 1.1× 144 0.9× 92 1.4× 36 1.1× 85 2.0k
J. E. Hibbard United States 19 1.6k 1.1× 662 1.0× 135 0.9× 61 0.9× 16 0.5× 36 1.6k
J. Masegosa Spain 22 1.3k 0.8× 469 0.7× 196 1.3× 42 0.6× 20 0.6× 86 1.3k
M. G. Pastoriza Brazil 22 1.4k 1.0× 533 0.8× 104 0.7× 68 1.0× 41 1.2× 90 1.5k

Countries citing papers authored by M. Cerviño

Since Specialization
Citations

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

Fields of papers citing papers by M. Cerviño

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Cerviño

This figure shows the co-authorship network connecting the top 25 collaborators of M. Cerviño. A scholar is included among the top collaborators of M. Cerviño 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. Cerviño. M. Cerviño 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.
García, M., N. Castro, F. Najarro, et al.. (2025). A reference framework for extremely metal-poor OB star studies: calibrations for stellar parameters and intrinsic colours. Monthly Notices of the Royal Astronomical Society. 537(2). 1197–1219. 3 indexed citations
2.
Cerviño, M., et al.. (2024). Modelling of surface brightness fluctuation measurements. Astronomy and Astrophysics. 686. A62–A62. 1 indexed citations
3.
García, M., et al.. (2022). A new reference catalogue for the very metal-poor Universe: +150 OB stars in Sextans A. Monthly Notices of the Royal Astronomical Society. 516(3). 4164–4179. 13 indexed citations
4.
García, A. M. Pérez, et al.. (2021). The OTELO survey revealing a population of low-luminosity active star-forming galaxies at z ∼ 0.9. Library Open Repository (Universidad Complutense Madrid).
5.
Diego, J. A. de, Á. Bongiovanni, J. Cepa, et al.. (2021). Nonsequential neural network for simultaneous, consistent classification, and photometric redshifts of OTELO galaxies. arXiv (Cornell University). 2 indexed citations
6.
Mollá, M., et al.. (2021). HR-pypopstar: high-wavelength-resolution stellar populations evolutionary synthesis model. Monthly Notices of the Royal Astronomical Society. 506(4). 4781–4799. 14 indexed citations
7.
Sánchez‐Portal, M., Á. Bongiovanni, M. Pović, et al.. (2020). GLACE survey: Galaxy activity in ZwCl0024+1652 cluster from strong optical emission lines. Monthly Notices of the Royal Astronomical Society. 501(2). 2430–2450.
8.
Vazdekis, A., M. Cerviño, Mireia Montes, Ignacio Martín-Navarro, & Michael A. Beasley. (2020). Surface brightness fluctuation spectra to constrain stellar population properties. Monthly Notices of the Royal Astronomical Society. 493(4). 5131–5152. 4 indexed citations
9.
Britavskiy, N., A. Z. Bonanos, A. Herrero, et al.. (2019). Physical parameters of red supergiants in dwarf irregular galaxies in the Local Group. Springer Link (Chiba Institute of Technology). 11 indexed citations
10.
Bongiovanni, Á., A. M. Pérez García, J. Cepa, et al.. (2019). The OTELO survey II. The faint-end of the Hα luminosity function at z ∼ 0.40. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 6 indexed citations
11.
Suárez, Genaro, Juan José Downes, C. Román-Zúñiga, et al.. (2019). System initial mass function of the 25 Ori group from planetary-mass objects to intermediate/high-mass stars. Monthly Notices of the Royal Astronomical Society. 486(2). 1718–1740. 18 indexed citations
12.
Berlanas, S. R., A. Herrero, F. Comerón, et al.. (2018). Oxygen and silicon abundances in Cygnus OB2: Chemical homogeneity in a sample of OB slow rotators. arXiv (Cornell University). 5 indexed citations
13.
Cerviño, M., Á. Bongiovanni, & S. L. Hidalgo. (2016). Recent SFR calibrations and the constant SFR approximation. Springer Link (Chiba Institute of Technology). 6 indexed citations
14.
Troncoso, P., L. Infante, Nelson Padilla, et al.. (2016). Evolution of Balmer jump selected galaxies in the ALHAMBRA survey. Springer Link (Chiba Institute of Technology).
15.
Cerviño, M., et al.. (2010). The distance to the C component of I Zw 18 and its star formation history. Springer Link (Chiba Institute of Technology). 5 indexed citations
16.
Voss, R., R. Diehl, D. H. Hartmann, et al.. (2009). Using population synthesis of massive stars to study theinterstellar medium near OB associations. Springer Link (Chiba Institute of Technology). 31 indexed citations
17.
Molinaro, M., F. Gasparo, F. Pasian, et al.. (2009). Micro-simulations Inside the VO: the BaSTI Case. ASPC. 411. 446. 1 indexed citations
18.
Cerviño, M. & M. Mollá. (2002). On the effect of discrete numbers of stars in chemical evolution models. Springer Link (Chiba Institute of Technology). 6 indexed citations
19.
Cerviño, M., et al.. (1997). Evolutionary population synthesis: the effect of binary systems. 6. 188–191. 1 indexed citations
20.
Cerviño, M. & J. M. Más-Hesse. (1994). Metallicity effects in star-forming regions. 284(3). 749–763. 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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