M. Lares

1.1k total citations
30 papers, 384 citations indexed

About

M. Lares is a scholar working on Astronomy and Astrophysics, Instrumentation and Ecology. According to data from OpenAlex, M. Lares has authored 30 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Astronomy and Astrophysics, 11 papers in Instrumentation and 4 papers in Ecology. Recurrent topics in M. Lares's work include Galaxies: Formation, Evolution, Phenomena (18 papers), Astronomy and Astrophysical Research (11 papers) and Stellar, planetary, and galactic studies (6 papers). M. Lares is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (18 papers), Astronomy and Astrophysical Research (11 papers) and Stellar, planetary, and galactic studies (6 papers). M. Lares collaborates with scholars based in Argentina, Chile and Italy. M. Lares's co-authors include D. G. Lambas, Nelson Padilla, Dante J. Paz, Laura Ceccarelli, M. Domínguez, Andrés N. Ruiz, Ariel G. Sánchez, Roberto González, C. Valotto and A. V. Ahumada and has published in prestigious journals such as SHILAP Revista de lepidopterología, Monthly Notices of the Royal Astronomical Society and Astronomy and Astrophysics.

In The Last Decade

M. Lares

27 papers receiving 369 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. Lares Argentina 11 368 174 59 53 30 30 384
M. A. Sgró Argentina 9 325 0.9× 172 1.0× 53 0.9× 24 0.5× 21 0.7× 15 335
M. L. P. Gunawardhana United Kingdom 11 507 1.4× 279 1.6× 62 1.1× 35 0.7× 24 0.8× 15 525
I. Davidzon United States 12 434 1.2× 252 1.4× 40 0.7× 44 0.8× 15 0.5× 18 455
T. Tuvikene Estonia 9 455 1.2× 201 1.2× 91 1.5× 31 0.6× 11 0.4× 26 474
S. de la Torre France 10 303 0.8× 160 0.9× 46 0.8× 43 0.8× 12 0.4× 11 314
Rain Kipper Estonia 11 491 1.3× 265 1.5× 82 1.4× 35 0.7× 17 0.6× 25 512
Y. Peng United Kingdom 5 546 1.5× 334 1.9× 39 0.7× 25 0.5× 23 0.8× 9 565
C. E. Cunha Switzerland 2 382 1.0× 199 1.1× 65 1.1× 48 0.9× 22 0.7× 2 396
J. Carretero Spain 9 239 0.6× 110 0.6× 28 0.5× 36 0.7× 14 0.5× 16 262
H. Lietzen Estonia 14 426 1.2× 221 1.3× 106 1.8× 44 0.8× 13 0.4× 26 439

Countries citing papers authored by M. Lares

Since Specialization
Citations

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

Fields of papers citing papers by M. Lares

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of M. Lares. A scholar is included among the top collaborators of M. Lares 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. Lares. M. Lares 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.
Alonso, M. V., J. L. Nilo Castellón, M. Soto, et al.. (2025). The VVV near-IR galaxy catalogue of the southern Galactic disc. Astronomy and Astrophysics. 700. A33–A33.
2.
Castellón, J. L. Nilo, M. V. Alonso, M. A. Sgró, et al.. (2024). Galaxies in the zone of avoidance: Misclassifications using machine learning tools. Astronomy and Astrophysics. 686. A18–A18.
3.
Lares, M., et al.. (2023). Automated classification of eclipsing binary systems in the VVV Survey. Monthly Notices of the Royal Astronomical Society. 520(1). 828–838. 2 indexed citations
4.
Sgró, M. A., M. Lares, M. Soto, et al.. (2023). The VVV near-IR galaxy catalogue in a Northern part of the Galactic disc. Monthly Notices of the Royal Astronomical Society. 524(1). 678–694. 4 indexed citations
5.
Lares, M., et al.. (2022). The cosmic shallows – I. Interaction of CMB photons in extended galaxy haloes. Monthly Notices of the Royal Astronomical Society. 518(4). 5643–5652. 10 indexed citations
6.
Lares, M., et al.. (2022). Spin alignment around TNG300-1 voids. Monthly Notices of the Royal Astronomical Society. 518(2). 3095–3105. 4 indexed citations
7.
Cabral, Juan, M. Lares, S. Gurovich, D. Minniti, & Pablo M. Granitto. (2021). Drifting features: Detection and evaluation in the context of automatic RR Lyrae identification in the VVV. Springer Link (Chiba Institute of Technology). 2 indexed citations
8.
Lares, M., et al.. (2021). The role of the galactocentric distance of a civilization on itschance of contacting other intelligent civilizations. El Servicio de Difusión de la Creación Intelectual (National University of La Plata). 62. 316–318. 1 indexed citations
9.
Sánchez, Ariel G., et al.. (2021). Improved two-point correlation function estimates using glass-like distributions as a reference sample. Monthly Notices of the Royal Astronomical Society. 506(4). 4667–4675. 5 indexed citations
10.
Cabral, Juan, B. Sánchez, M. Beroiz, et al.. (2017). Corral framework: Trustworthy and fully functional data intensive parallel astronomical pipelines. Astronomy and Computing. 20. 140–154. 2 indexed citations
11.
Lares, M., et al.. (2017). Voids and superstructures: correlations and induced large-scale velocity flows. Monthly Notices of the Royal Astronomical Society. 470(1). 85–94. 5 indexed citations
12.
Palma, T., et al.. (2016). Catalogue of Large Magellanic Cloud star clusters observed in the Washington photometric system. Springer Link (Chiba Institute of Technology). 16 indexed citations
13.
Beroiz, M., Mario Diaz, M. Domínguez, et al.. (2016). Results of optical follow-up observations of advanced LIGO triggers from O1 in the southern hemisphere.. Bulletin of the American Physical Society. 2016. 1 indexed citations
14.
Ceccarelli, Laura, et al.. (2016). The sparkling Universe: a scenario for cosmic void motions. Monthly Notices of the Royal Astronomical Society. 461(4). 4013–4021. 8 indexed citations
15.
Lambas, D. G., et al.. (2015). The sparkling Universe: the coherent motions of cosmic voids. Monthly Notices of the Royal Astronomical Society Letters. 455(1). L99–L103. 13 indexed citations
16.
Lares, M., et al.. (2013). Effects of superstructure environment on galaxy groups. Monthly Notices of the Royal Astronomical Society. 432(2). 1367–1374. 16 indexed citations
17.
Ceccarelli, Laura, Dante J. Paz, M. Lares, Nelson Padilla, & D. G. Lambas. (2013). Clues on void evolution – I. Large-scale galaxy distributions around voids. Monthly Notices of the Royal Astronomical Society. 434(2). 1435–1442. 64 indexed citations
18.
Lares, M., D. G. Lambas, & M. Domínguez. (2011). PROPERTIES OF SATELLITE GALAXIES IN THE SDSS PHOTOMETRIC SURVEY: LUMINOSITIES, COLORS, AND PROJECTED NUMBER DENSITY PROFILES. The Astronomical Journal. 142(1). 13–13. 29 indexed citations
19.
Lares, M., et al.. (2011). Future virialized structures: an analysis of superstructures in the SDSS-DR7. Monthly Notices of the Royal Astronomical Society. 415(1). 964–976. 35 indexed citations
20.
González, Roberto, M. Lares, D. G. Lambas, & C. Valotto. (2005). The faint-end of the galaxy luminosity function in groups. Springer Link (Chiba Institute of Technology). 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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