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| NVSS J075909+294651 , the SIMBAD biblio (11 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST11:50:40 |
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 |
|---|---|---|---|---|---|---|---|---|---|
2009ApJ...692..511W 
|
15 | D | 1 | 3632 | 20 | Mergers of luminous early-type galaxies in the local universe and gravitational wave background. | WEN Z.L., LIU F.S. and HAN J.L. | ||
|
2012MNRAS.421.1569B
|
15 | D | 3 | 18458 | 511 | On the fundamental dichotomy in the local radio-AGN population: accretion, evolution and host galaxy properties. | BEST P.N. and HECKMAN T.M. | ||
|
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. | ||
|
2018AJ....155..188L
|
16 | D | 1 | 13497 | 1 | An analysis framework for understanding the origin of nuclear activity in low-power radio galaxies. | LIN Y.-T., HUANG H.-J. and CHEN Y.-C. | ||
|
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. | ||
|
2020ApJS..247...53K
|
16 | D | 1 | 23378 | 20 | Radio sources associated with Optical Galaxies and having Unresolved or Extended morphologies (ROGUE). I. A catalog of SDSS galaxies with FIRST core identifications. | KOZIEL-WIERZBOWSKA D., GOYAL A. and ZYWUCKA N. | ||
|
2020ApJ...901..159C
|
16 | D | 2 | 407 | 26 | A catalog of 406 AGNs in MaNGA: a connection between radio-mode AGNs and star formation quenching. | COMERFORD J.M., NEGUS J., MULLER-SANCHEZ F., 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. | ||
|
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. |
