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| V* V347 Her , the SIMBAD biblio (11 results) | C.D.S. - SIMBAD4 rel 1.8 - 2024.04.23CEST21:08:48 |
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| 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 |
|---|---|---|---|---|---|---|---|---|---|
| 1957ApJ...126..323V | 212 | 23 | A search for Cepheids in galactic clusters. | VAN DEN BERGH S. | |||||
| 1960AnAp...23..681P | 549 | 22 | Le type de population des Cepheides galactiques : criteres de distinction des types et catalogue. | PETIT M. | |||||
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. | |||
|
2006MNRAS.368.1757W
|
617 | 72 | A catalogue of RR Lyrae stars from the Northern Sky Variability Survey. | WILS P., LLOYD C. and BERNHARD K. | |||||
|
2009AJ....138..466H
|
91 | D | C | 3 | 4126 | 116 | Automated variable star classification using the Northern Sky Variability Survey. | HOFFMAN D.I., HARRISON T.E. and McNAMARA B.J. | |
|
2011IBVS.5984....1H
|
15 | D | 1 | 509 | 35 | BAV-results of observations - photoelectric minima of selected eclipsing binaries and maxima of pulsating stars. | HUBSCHER J. | ||
| 2011BAVSM.215....1H | 15 | D | 1 | 482 | 2 | BAV-Results of observations - Photoelectric minima of selected eclipsing binaries and maxima of pulsating stars. | HUEBSCHER J. | ||
|
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. | ||
|
2014MNRAS.445.1584S
|
16 | D | 1 | 556 | 7 | Characteristics of bright AB-type RR Lyrae stars from the ASAS and WASP surveys. | SKARKA M. | ||
|
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. |
