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| LEDA 3868483 , the SIMBAD biblio (9 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.14CEST23:48:28 |
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 |
|---|---|---|---|---|---|---|---|---|---|
2014ApJ...788...45T 
|
15 | D | 1 | 224166 | 54 | Luminosity and redshift dependence of the covering factor of active galactic nuclei viewed with WISE and Sloan Digital Sky Survey. | TOBA Y., OYABU S., MATSUHARA H., et al. | ||
|
2017A&A...599A..71D
|
16 | D | 1 | 209271 | 41 | Aperture-free star formation rate of SDSS star-forming galaxies. | DUARTE PUERTAS S., VILCHEZ J.M., IGLESIAS-PARAMO J., et al. | ||
|
2017MNRAS.467.2127P
|
16 | D | 1 | 697 | 6 | The effect of environment on the structure of disc galaxies. | PRANGER F., TRUJILLO I., KELVIN L.S., et al. | ||
|
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. | ||
|
2022A&A...666A.186D
|
17 | D | 1 | 194359 | 6 | Mass-metallicity and star formation rate in galaxies: A complex relation tuned to stellar age. | DUARTE PUERTAS S., VILCHEZ J.M., IGLESIAS-PARAMO J., 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. |
