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| LEDA 3995639 , the SIMBAD biblio (10 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.15CEST00:52:39 |
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 |
|---|---|---|---|---|---|---|---|---|---|
2016A&A...595A.118V 
|
16 | D | 1 | 2632 | 30 | NIBLES: an H I census of stellar mass selected SDSS galaxies. I. The Nancay H I survey. | VAN DRIEL W., BUTCHER Z., SCHNEIDER S., et al. | ||
|
2017AJ....154...86W
|
16 | D | 2 | 4614 | 272 | The SDSS-IV MaNGA sample: design, optimization, and usage considerations. | WAKE D.A., BUNDY K., DIAMOND-STANIC A.M., et al. | ||
|
2019MNRAS.483.2057F
|
16 | D | 1 | 4600 | 64 | SDSS-IV MaNGA PyMorph Photometric and Deep Learning Morphological Catalogues and implications for bulge properties and stellar angular momentum. | FISCHER J.-L., DOMINGUEZ SANCHEZ H. and BERNARDI M. | ||
|
2020MNRAS.494.1784A
|
16 | D | 1 | 47437 | 9 | Local AGN survey (LASr): I. Galaxy sample, infrared colour selection, and predictions for AGN within 100 Mpc. | ASMUS D., GREENWELL C.L., GANDHI P., et al. | ||
| 2020MNRAS.497.4753Z | 82 | F | 1 | 8 | ~ | SDSS-IV MaNGA: Bayesian analysis of the star formation history of low-mass galaxies in the local Universe. | ZHOU S., MO H.J., LI C., 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..85A
|
17 | D | 1 | 6495 | 2 | Classifying the full SDSS-IV MaNGA Survey using optical diagnostic diagrams: Presentation of AGN catalogs in flexible apertures. | ALBAN M. and WYLEZALEK D. | ||
|
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. | ||
|
2025A&A...695A.200R
|
19 | D | 1 | 159 | ~ | J-PLUS: Spectroscopic validation of Hα emission line maps in spatially resolved galaxies. | RAHNA P.T., AKHLAGHI M., LOPEZ-SANJUAN C., et al. |
