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| BD+42 3350 , the SIMBAD biblio (10 results) | C.D.S. - SIMBAD4 rel 1.8 - 2024.05.10CEST00:16:46 |
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 |
|---|---|---|---|---|---|---|---|---|---|
| 1970PASP...82..293M | 13 | D | 13 | 16 | Interstellar reddening of RR Lyrae. | McNAMARA D.H., HELM T.M. and WILCKEN S.K. | |||
| 1971PASP...83..828M | 13 | 2 | The reddening of stars in the direction of RR Lyr. | McNAMARA D.H. and CROFT S.K. | |||||
1998A&AS..129..431H 
|
14 | D | 38802 | 586 | uvbyβ photoelectric photometric catalogue. | HAUCK B. and MERMILLIOD M. | |||
|
2015MNRAS.449.1401H
|
16 | D | 1 | 3011 | 6 | A large sample of metallic-line star candidates from LAMOST Data Release 1. | HOU W., LUO A., YANG H., et al. | ||
|
2015A&A...580A..23P
|
16 | D | 2 | 60854 | 134 | A new catalogue of Stroemgren-Crawford uvbyβ photometry. | PAUNZEN E. | ||
|
2016A&A...594A..39F
|
16 | D | 1 | 51408 | 86 | Activity indicators and stellar parameters of the Kepler targets. An application of the ROTFIT pipeline to LAMOST-Kepler stellar spectra. | FRASCA A., MOLENDA-ZAKOWICZ J., DE CAT P., et al. | ||
|
2018A&A...620A.172Z
|
16 | D | 1 | 127607 | 99 | 3D mapping of young stars in the solar neighbourhood with Gaia DR2. | ZARI E., HASHEMI H., BROWN A.G.A., et al. | ||
|
2019MNRAS.485.2380M
|
17 | D | 1 | 14330 | 108 | Gaia-derived luminosities of Kepler A/F stars and the pulsator fraction across the δ Scuti instability strip. | MURPHY S.J., HEY D., VAN REETH T., et al. | ||
|
2019MNRAS.490.3158C
|
17 | D | 1 | 465835 | 28 | A catalogue of stellar diameters and fluxes for mid-infrared interferometry. | CRUZALEBES P., PETROV R.G., ROBBE-DUBOIS S., et al. | ||
|
2022ApJS..259...63S
|
18 | D | 1 | 10264 | 2 | Objective Separation between CP1 and CP2 Based on Feature Extraction with Machine Learning. | SHANG L.-H., LUO A.-L., WANG L., et al. |
