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| V* V1704 Aql , the SIMBAD biblio (10 results) | C.D.S. - SIMBAD4 rel 1.8 - 2024.04.16CEST15:31:59 |
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 |
|---|---|---|---|---|---|---|---|---|---|
| 2002IBVS.5318....1B | 73 | T | O | 2 | 1 |
On the variability of GSC 5149.2845 (Brh V121) and GSC 5170.0175 ( Brh V122). |
BERNHARD K., KIYOTA S. and PEJCHA O. | ||
| 2003BAVSR..52..168B | 24 | 0 | 6 Jahre Himmelsuberwachung - weitere Veranderliche entdeckt. | BERNHARD K. | |||||
2005A&A...442..381M 
|
590 | 12 | Proper identification of RR Lyrae stars brighter than 12.5 mag. | MAINTZ G. | |||||
|
2006AJ....132.1202K
|
15 | D | 1185 | 88 | Analysis of RR Lyrae stars in the northern sky variability survey. | KINEMUCHI K., SMITH H.A., WOZNIAK P.R., et al. | |||
|
2006IBVS.5721....1K
|
1754 | 36 | The 78th name-list of variable stars. | KAZAROVETS E.V., SAMUS N.N., DURLEVICH O.V., et al. | |||||
| 2006BAVSR..55..232B | O | 14 | 0 | BAV-Sterne in der 78th Name-List of Variable Stars. | BERNHARD K. | ||||
|
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. | ||
|
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. |
