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| 2MASX J01144227+0007580 , the SIMBAD biblio (10 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST14:38:35 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
|
1980ApJS...42..565D |
5686 | 461 | A catalog of morphological types in 55 rich clusters of galaxies | DRESSLER A. | |||||
|
1996A&AS..117..467G |
22339 | 19 | An image database. II. Catalogue between δ=-0deg and δ=70deg. | GARNIER R., PATUREL G., PETIT C., et al. | |||||
|
1996AJ....111...42T |
144 | 18 | Distribution of blue galaxies in a merging cluster of galaxies Abell 168. | TOMITA A., NAKAMURA F.E., TAKATA T., et al. | |||||
|
2003A&A...412...45P |
15 | D | 1 | 956189 | 750 | HYPERLEDA. I. Identification and designation of galaxies. | PATUREL G., PETIT C., PRUGNIEL P., et al. | ||
|
2003AJ....126.2152R |
15 | D | 15140 | 214 | CAIRNS: the cluster and infall region nearby survey. I. Redshifts and mass profiles. | RINES K., GELLER M.J., KURTZ M.J., et al. | |||
|
2016MNRAS.457.2703R |
16 | D | 1 | 3319 | 14 | Local SDSS galaxies in the Herschel Stripe 82 survey: a critical assessment of optically derived star formation rates. | ROSARIO D.J., MENDEL J.T., ELLISON S.L., et al. | ||
|
2020ApJS..246....2A |
16 | D | 1 | 36251 | ~ | GalWeight application: a publicly available catalog of dynamical parameters of 1800 galaxy clusters from SDSS-DR13, (GalWCat19). | ABDULLAH M.H., WILSON G., KLYPIN A., et al. | ||
|
2022ApJS..262...36S |
17 | D | 1 | 10075 | 23 | SDSS-IV MaNGA: pyPipe3D Analysis Release for 10,000 Galaxies. | SANCHEZ S.F., BARRERA-BALLESTEROS J.K., LACERDA E., et al. | ||
|
2023ApJS..267...17L |
17 | D | 1 | 2780 | 1 | Panchromatic Photometry of Low-redshift, Massive Galaxies Selected from SDSS Stripe 82. | LI Y.A., HO L.C., SHANGGUAN J., et al. | ||
|
2024NatAs...8.1310A |
18 | D | 1 | 10075 | ~ | Constraints on the in situ and ex situ stellar masses in nearby galaxies obtained with artificial intelligence. | ANGELOUDI E., FALCON-BARROSO J., HUERTAS-COMPANY M., et al. |