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| LEDA 1746223 , the SIMBAD biblio (9 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.15CEST01:08:09 |
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. | ||
|
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. | ||
|
2018ApJ...868...99F
|
16 | D | 1 | 19564 | 4 | Identifying tidal disruption events via prior photometric selection of their preferred hosts. | FRENCH K.D. and ZABLUDOFF A.I. | ||
|
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. | ||
|
2020ApJ...894...57S
|
16 | D | 1 | 388 | ~ | Environmental influences on star formation in low-mass galaxies observed by the SDSS-IV/MaNGA Survey. | SUN J., BARGER K.A., FRINCHABOY P.M., et al. | ||
|
2022MNRAS.513..389R
|
17 | D | 1 | 1816 | 8 | Star-forming S0 Galaxies in SDSS-MaNGA: fading spirals or rejuvenated S0s? | RATHORE H., KUMAR K., MISHRA P.K., 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. | ||
|
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. |
