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| SDSS J132428.02+134146.5 , the SIMBAD biblio (11 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST21:54:04 |
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| 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 |
|---|---|---|---|---|---|---|---|---|---|
2000ApJ...539..136Z 
|
751 | 101 | The properties of poor groups of galaxies. III. The galaxy luminosity function. | ZABLUDOFF A.I. and MULCHAEY J.S. | |||||
|
2011ApJ...737..101L
|
15 | D | 1 | 2621 | 118 | Active galactic nucleus pairs from the Sloan Digital Sky Survey. I. The frequency on ∼5-100 kpc scales. | LIU X., SHEN Y., STRAUSS M.A., et al. | ||
|
2012MNRAS.423..600S
|
15 | D | 1 | 3593 | 93 | Type 1 AGN at low z. I. Emission properties. | STERN J. and LAOR A. | ||
|
2013MNRAS.431..836S
|
15 | D | 1 | 3175 | 39 | Type 1 AGN at low z - III. The optical narrow-line ratios. | STERN J. and LAOR A. | ||
|
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. | ||
|
2015ApJS..219....1O
|
16 | D | 1 | 5555 | 88 | A new catalog of type 1 AGNs and its implications on the AGN unified model. | OH K., YI S.K., SCHAWINSKI K., 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. | ||
|
2018MNRAS.481.2458D
|
16 | D | 1 | 31575 | ~ | On the nature of small galaxy systems. | DUPLANCIC F., COLDWELL G.V., ALONSO S., et al. | ||
|
2019ApJS..243...21L
|
16 | D | 1 | 14589 | 47 | A comprehensive and uniform sample of broad-line active galactic nuclei from the SDSS DR7. | LIU H.-Y., LIU W.-J., DONG X.-B., et al. | ||
|
2021ApJS..256...34C
|
17 | D | 1 | 1297 | ~ | Classifying Seyfert galaxies with deep learning. | CHEN Y.C. | ||
|
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. |
