R. Sordo

35.2k total citations
22 papers, 796 citations indexed

About

R. Sordo is a scholar working on Astronomy and Astrophysics, Instrumentation and Computational Mechanics. According to data from OpenAlex, R. Sordo has authored 22 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Astronomy and Astrophysics, 16 papers in Instrumentation and 4 papers in Computational Mechanics. Recurrent topics in R. Sordo's work include Stellar, planetary, and galactic studies (21 papers), Astronomy and Astrophysical Research (16 papers) and Astrophysics and Star Formation Studies (10 papers). R. Sordo is often cited by papers focused on Stellar, planetary, and galactic studies (21 papers), Astronomy and Astrophysical Research (16 papers) and Astrophysics and Star Formation Studies (10 papers). R. Sordo collaborates with scholars based in Italy, Spain and Sweden. R. Sordo's co-authors include U. Munari, T. Zwitter, Francesco Castelli, A. Vallenari, A. Bragaglia, T. Cantat-Gaudin, L. Balaguer-Núñez, R. Carrera, L. Casamiquela and C. Jordi and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Astronomy and Astrophysics and Astrophysics and Space Science.

In The Last Decade

R. Sordo

20 papers receiving 761 citations

Peers

Countries citing papers authored by R. Sordo

Since Specialization

Citations

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

Fields of papers citing papers by R. Sordo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Sordo

This figure shows the co-authorship network connecting the top 25 collaborators of R. Sordo. A scholar is included among the top collaborators of R. Sordo 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 R. Sordo. R. Sordo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	BeyondGaiaDR3: Tracing the [α/M] – [M/H] bimodality from the inner to the outer Milky Way disc withGaia-RVS and convolutional neural networks 2023 ·Astronomy and Astrophysics ·G. Guiglion, (unknown), C. Chiappini, Sergey Khoperskov, G. Traven, A. B. A. Queiroz, Matthias Steinmetz, M. Valentini, Y. Fournier, A. Vallenari, (unknown), M. Bergemann, Szabolcs Mészáros, S. Lucatello, R. Sordo, (unknown), Ivan Minchev, G. Tautvaišienė, Š. Mikolaitis, J. Montalbán	21
2	Gaia Focused Product Release: Spatial distribution of two diffuse interstellar bands 2023 ·Astronomy and Astrophysics ·M. Schultheis, H. Zhao, T. Zwitter, C. A. L. Bailer‐Jones, R. Carballo, R. Sordo, R. Drimmel, (unknown), F. Pailler, M. Fouesneau, H. E. P. Lindstrøm, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown)	6
3	Estimating [α/Fe] from Gaia low-resolution BP/RP spectra using the ExtraTrees algorithm 2021 ·Astronomy and Astrophysics ·A. Gavel, R. Andrae, M. Fouesneau, A. J. Korn, R. Sordo	11
4	Stellar Population Astrophysics (SPA) with TNG 2020 ·Astronomy and Astrophysics ·G. Casali, L. Magrini, A. Frasca, A. Bragaglia, G. Catanzaro, V. D’Orazi, R. Sordo, E. Carretta, L. Origlia, G. Andreuzzi, Xiaoting Fu, A. Vallenari	20
5	Stellar Population Astrophysics (SPA) with TNG. The old open clusters Collinder 350, Gulliver 51, NGC 7044, and Ruprecht 171 2020 ·arXiv (Cornell University) ·G. Casali, L. Magrini, A. Frasca, A. Bragaglia, G. Catanzaro, V. D’Orazi, R. Sordo, E. Carretta, L. Origlia, G. Andreuzzi, Xiaoting Fu, A. Vallenari	2
6	Open clusters in APOGEE and GALAH 2019 ·Astronomy and Astrophysics ·R. Carrera, A. Bragaglia, T. Cantat-Gaudin, A. Vallenari, L. Balaguer-Núñez, D. Bossini, L. Casamiquela, C. Jordi, R. Sordo, C. Soubiran	57
7	Age determination for 269 Gaia DR2 open clusters 2019 ·Astronomy and Astrophysics ·D. Bossini, A. Vallenari, A. Bragaglia, T. Cantat-Gaudin, R. Sordo, L. Balaguer-Núñez, C. Jordi, A. Moitinho, C. Soubiran, L. Casamiquela, R. Carrera, U. Heiter	172
8	Open cluster kinematics with Gaia DR2 2018 ·Astronomy and Astrophysics ·C. Soubiran, T. Cantat-Gaudin, M. Romero-Gómez, L. Casamiquela, C. Jordi, A. Vallenari, T. Antoja, L. Balaguer-Núñez, D. Bossini, A. Bragaglia, R. Carrera, A. Castro-Ginard, F. Figueras, U. Heiter, D. Katz, A. Krone-Martins, J.-F. Le Campion, A. Moitinho, R. Sordo	125
9	Abundances and kinematics for ten anticentre open clusters 2016 ·Astronomy and Astrophysics ·T. Cantat-Gaudin, P. Donati, A. Vallenari, R. Sordo, A. Bragaglia, L. Magrini	18
10	DOOp, an automated wrapper for DAOSPEC 2014 ·Springer Link (Chiba Institute of Technology) ·T. Cantat-Gaudin, P. Donati, E. Pancino, A. Bragaglia, A. Vallenari, Eileen D. Friel, R. Sordo, Heather R. Jacobson, L. Magrini	13
11	An approach to the analysis of SDSS spectroscopic outliers based on self-organizing maps 2013 ·Astronomy and Astrophysics ·Diego Fustes, M. Manteiga, Carlos Dafonte, B. Arcay, A. Ulla, K. W. Smith, R. Borrachero, R. Sordo	22
12	FAMA: An automatic code for stellar parameter and abundance determination 2013 ·Astronomy and Astrophysics ·L. Magrini, S. Randich, Eileen D. Friel, L. Spina, Heather R. Jacobson, T. Cantat-Gaudin, P. Donati, (unknown), E. Maiorca, A. Bragaglia, R. Sordo, A. Vallenari	28
13	The expected performance of stellar parametrization withGaiaspectrophotometry 2012 ·Monthly Notices of the Royal Astronomical Society ·Chao Liu, C. A. L. Bailer‐Jones, R. Sordo, A. Vallenari, R. Borrachero, X. Luri, P. Sartoretti	41
14	Pre-main sequence stars in the stellar association N11 in the Large Magellanic Cloud 2009 ·Astronomy and Astrophysics ·A. Vallenari, (unknown), R. Sordo	4
15	Asiago eclipsing binaries program 2008 ·Astronomy and Astrophysics ·L. Tomasella, U. Munari, S. Cassisi, A. Siviero, S. Dallaporta, R. Sordo, T. Zwitter	7
16	The Asiago Database of Spectroscopic Databases (ADSD) 2006 ·Astronomy and Astrophysics ·R. Sordo, U. Munari	3
17	An extensive library of 2500–10 500 Å synthetic spectra 2005 ·Astronomy and Astrophysics ·U. Munari, R. Sordo, Francesco Castelli, T. Zwitter	195
18	On the distance, reddening and progenitor of V838 Mon 2005 ·Astronomy and Astrophysics ·U. Munari, A. A. Henden, A. Vallenari, Howard E. Bond, R. L. M. Corradi, Lisa A. Crause, S. Desidera, E. Giro, P. M. Marrese, S. Ragaini, A. Siviero, R. Sordo, S. Starrfield, T. Tomov, S. Villanova, T. Zwitter, R. M. Wagner	29
19	Gaia and the Fundamental Stellar Parameters from Double-Lined Eclipsing Binaries 2005 ·P. M. Marrese, E. F. Milone, R. Sordo, Matthew D. Williams	1
20	Asiago eclipsing binaries program 2004 ·Astronomy and Astrophysics ·A. Siviero, U. Munari, R. Sordo, S. Dallaporta, P. M. Marrese, T. Zwitter, E. F. Milone	16

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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