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| V* FO CVn , the SIMBAD biblio (9 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST13:34:41 |
Sort references on where and how often the object is cited
trying to find the most relevant references on this object.
More on score
| Bibcode/DOI | Score |
in Title|Abstract| Keywords |
in a table | in teXt, Caption, ... | Nb occurence | Nb objects in ref |
Citations (from ADS) |
Title | First 3 Authors |
|---|---|---|---|---|---|---|---|---|---|
| 2007PZP.....7...25K | 6 | 0 | 6 new short-period pulsating variables. | KHRUSLOV A.V. | |||||
2017A&A...605A..79G 
|
16 | D | 1 | 735 | 92 | Gaia Data Release 1. Testing parallaxes with local Cepheids and RR Lyrae stars. | GAIA COLLABORATION, CLEMENTINI G., EYER L., et al. | ||
|
2018A&A...609A.116R
|
16 | D | 1 | 143018 | 65 | Empirical photometric calibration of the Gaia red clump: Colours, effective temperature, and absolute magnitude. | RUIZ-DERN L., BABUSIAUX C., ARENOU F., et al. | ||
|
2019ApJ...879...69T
|
16 | D | 1 | 222610 | 141 | The Payne: self-consistent ab initio fitting of stellar spectra. | TING Y.-S., CONROY C., RIX H.-W., et al. | ||
|
2020ApJ...905...38R
|
16 | D | 1 | 816 | 13 | The white dwarf binary pathways survey. V. The Gaia white dwarf plus AFGK binary sample and the identification of 23 close binaries. | REN J.-J., RADDI R., REBASSA-MANSERGAS A., et al. | ||
|
2022ApJS..259...35A
|
17 | D | 1 | 611005 | 320 | The Seventeenth Data Release of the Sloan Digital Sky Surveys: Complete Release of MaNGA, MaStar, and APOGEE-2 Data. | ABDURRO'UF, ACCETTA K., AERTS C., et al. | ||
|
2023A&A...674A..16M
|
17 | D | 1 | 2184478 | 19 | Gaia Data Release 3 The first Gaia catalogue of eclipsing-binary candidates. | MOWLAVI N., HOLL B., LECOEUR-TAIBI I., et al. | ||
|
2023A&A...674A..34G
|
17 | D | 1 | 307215 | 85 | Gaia Data Release 3 Stellar multiplicity, a teaser for the hidden treasure. | GAIA COLLABORATION, ARENOU F., BABUSIAUX C., et al. | ||
|
2024AJ....167..192D
|
18 | D | 1 | 1374 | ~ | Detection of Contact Binary Candidates Observed By TESS Using the Autoencoder Neural Network. | DING X., SONG Z., WANG C., et al. |
