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| LEDA 1835965 , the SIMBAD biblio (9 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.15CEST05:39:11 |
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 |
|---|---|---|---|---|---|---|---|---|---|
2003A&A...412...45P 
|
15 | D | 1 | 956189 | 750 | HYPERLEDA. I. Identification and designation of galaxies. | PATUREL G., PETIT C., PRUGNIEL P., et al. | ||
|
2019ApJS..244....3D
|
16 | D | 1 | 23803 | ~ | Circumventing the effects of projection and dust using inclination-independent infrared galaxy structure measurements: method, error analysis, and a new public catalog of near-infrared galaxy structures. | DEVOUR B.M. and BELL E.F. | ||
|
2020ApJS..246...12Z
|
16 | D | 1 | 25546 | 12 | Compact groups of galaxies in Sloan Digital Sky Survey and LAMOST spectral Survey. I. The catalogs. | ZHENG Y.-L. and SHEN S.-Y. | ||
|
2022MNRAS.509.3966W
|
17 | D | 1 | 89291 | 61 | Galaxy Zoo DECaLS: Detailed visual morphology measurements from volunteers and deep learning for 314 000 galaxies. | WALMSLEY M., LINTOTT C., GERON T., 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. | ||
|
2023A&A...674A..41G
|
17 | D | 1 | 424444 | 31 | Gaia Data Release 3 The extragalactic content. | GAIA COLLABORATION, BAILER-JONES C.A.L., TEYSSIER D., et al. | ||
| 2023MNRAS.524.4482B | 17 | D | 1 | 423 | ~ | Automated detection of double nuclei galaxies using GOTHIC and the discovery of a large sample of dual AGN. | BHATTACHARYA A., NEHAL C.P., DAS M., et al. | ||
|
2023ApJS..269....3M
|
17 | D | 1 | 356397 | ~ | Siena Galaxy Atlas 2020. | MOUSTAKAS J., LANG D., DEY A., 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. |
