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| StM 482 , the SIMBAD biblio (13 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.14CEST10:37:36 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| 1986ApJ...301..927S | 14 | D | 563 | 37 | Late M stars found in a hemispheric survey. | STEPHENSON C.B. | |||
|
1988IRASP.C......0J |
14 | D | 1 | 245223 | ~ | Infrared Astronomical Satellite Catalogs, 1988. The Point Source Catalog, version 2.0, NASA RP-1190 | JOINT IRAS SCIENCE WORKING GROUP | ||
|
1991A&AS...90..327T |
14 | D | 1 | 2734 | 208 | 1612 MHz OH survey of IRAS point sources. I. Observations made at Dwingeloo, Effelsberg and Parkes. | TE LINTEL HEKKERT P., CASWELL J.L., HABING H.J., et al. | ||
|
1997ApJS..112..557K |
11276 | 205 | Classification and identification of IRAS sources with low-resolution spectra. | KWOK S., VOLK K. and BIDELMAN W.P. | |||||
|
2000AJ....119.1901A |
14 | D | 1 | 1767 | 300 | ROTSE all-sky surveys for variable stars. I. Test fields. | AKERLOF C., AMROSE S., BALSANO R., et al. | ||
|
2004AJ....128.2965W |
15 | D | 1 | 8686 | 106 | Identifying red variables in the Northern Sky Variability Survey. | WOZNIAK S.J., WILLIAMS P.R., VESTRAND W.T., et al. | ||
|
2009AcA....59...33P |
15 | D | 1 | 953 | 71 | The All Sky Automated Survey. The Catalog of Variable Stars in the Kepler field of view. | PIGULSKI A., POJMANSKI G., PILECKI B., et al. | ||
|
2012PASJ...64....4D |
15 | D | 1 | 398 | 11 | Kinematics of red variables in the Solar neighborhood. I.Basic data obtained by an SiO maser survey | DEGUCHI S., SAKAMOTO T. and HASEGAWA T. | ||
|
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. | ||
|
2017ApJS..232...16Y |
16 | D | 1 | 183 | 5 | Mira variable stars from LAMOST DR4 data: emission features, temperature types, and candidate selection. | YAO Y., LIU C., DENG L., et al. | ||
| 2018A&A...618A..58M | 16 | D | 1 | 89645 | 72 | Gaia Data Release 2. The first Gaia catalogue of long-period variable candidates. | MOWLAVI N., LECOEUR-TAIBI I., LEBZELTER T., et al. | ||
|
2019MNRAS.485.2167G |
16 | D | 1 | 11114 | 2 | Recognition of M-type stars in the unclassified spectra of LAMOST DR5 using a hash-learning method. | GUO Y.-X., LUO A.-L., ZHANG S., et al. | ||
|
2023A&A...674A..15L |
17 | D | 1 | 1720610 | 15 | Gaia Data Release 3 The second Gaia catalogue of long-period variable candidates. | LEBZELTER T., MOWLAVI N., LECOEUR-TAIBI I., et al. |