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| V* V383 Lyr , the SIMBAD biblio (10 results) | C.D.S. - SIMBAD4 rel 1.8 - 2024.05.16CEST07:23:00 |
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 |
|---|---|---|---|---|---|---|---|---|---|
| 1968IBVS..311....1K | 1646 | 13 | Identification list of the new variable stars nominated in 1968 (an extract from the 56th nominating list) | KUKARKIN B.V., KHOLOPOV P.N., EFREMOV Y.N., et al. | |||||
| 1968PZ.....16..460K | 21 | 7 | New variable stars in the region of M 56. | KUROCHKIN N.E. | |||||
| 1985PZ.....22..201K | 25 | 1 | New data on the variable stars in the region of M 56. | KUROCHKIN N.E. | |||||
| 1999IBVS.4723....1S | 90 | 0 | Coordinates and identifications for Kurochkin's variables near M 56. | SKIFF B.A. | |||||
2014AJ....147..119C 
|
16 | D | 1 | 8010 | 91 | Contamination in the Kepler field. Identification of 685 KOIs as false positives via ephemeris matching based on Q1-Q12 data. | COUGHLIN J.L., THOMPSON S.E., BRYSON S.T., 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. | ||
|
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. | ||
| 2020ApJS..249...18C | 17 | D | 1 | 777630 | 122 | The Zwicky Transient Facility catalog of periodic variable stars. | CHEN X., WANG S., DENG L., 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. |
