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| V* V508 Aql , the SIMBAD biblio (10 results) | C.D.S. - SIMBAD4 rel 1.8 - 2024.04.25CEST11:42:19 |
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 |
|---|---|---|---|---|---|---|---|---|---|
| 1978PZP.....3..341K | 106 | 0 | Identification charts of variable stars. | KAZANASMAS M.S. | |||||
1998AJ....115..193L 
|
106 | 53 | RR Lyrae variables in the inner halo. I. Photometry. | LAYDEN A.C. | |||||
| 2000IBVS.4865....1K | 205 | 1 | Coordinates and identifications for Sonneberg variables on MVS 267-272. | KINNUNEN T. and SKIFF B.A. | |||||
| 2011OEJV..134....1H | 30 | 0 | The elements of stars in the Sonneberg field 62 Aquilae | HAEUSSLER K. | |||||
|
2012MNRAS.424.2528S
|
15 | D | 1 | 266 | 25 | Search for high-amplitude δ Scuti and RR Lyrae stars in Sloan Digital Sky Survey Stripe 82 using principal component analysis. | SUVEGES M., SESAR B., VARADI M., et al. | ||
|
2014MNRAS.441..715G
|
16 | D | 1 | 13079 | 14 | A mid-infrared study of RR Lyrae stars with the Wide-field Infrared Survey Explorer all-sky data release. | GAVRILCHENKO T., KLEIN C.R., BLOOM J.S., et al. | ||
|
2017AJ....153..204S
|
16 | D | 1 | 46977 | 123 | Machine-learned identification of RR Lyrae stars from sparse, multi-band data: the PS1 sample. | SESAR B., HERNITSCHEK N., MITROVIC S., et al. | ||
|
2018AJ....156..241H
|
16 | D | 1 | 311114 | 199 | A first catalog of variable stars measured by the Asteroid Terrestrial-impact Last Alert System (ATLAS). | HEINZE A.N., TONRY J.L., DENNEAU L., et al. | ||
|
2019A&A...622A..60C
|
17 | D | 1 | 150347 | 194 | Gaia Data Release 2. Specific characterisation and validation of all-sky Cepheids and RR Lyrae stars. | CLEMENTINI G., RIPEPI V., MOLINARO R., et al. | ||
|
2022ApJS..261...33D
|
18 | D | 1 | 104673 | 3 | Photometric Metallicity Prediction of Fundamental-mode RR Lyrae Stars in the Gaia Optical and Ks Infrared Wave Bands by Deep Learning. | DEKANY I. and GREBEL E.K. |
