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| FIRST J143707.0+341849 , the SIMBAD biblio (10 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST10:49:07 |
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 |
|---|---|---|---|---|---|---|---|---|---|
2005ApJS..161....9K 
|
15 | D | 3338 | 117 | XBootes: an X-ray survey of the NDWFS Bootes field. II. The X-ray source catalog. | KENTER A., MURRAY S.S., FORMAN W.R., et al. | |||
| 2008ApJ...676L.105W | 7 | 13 | Hubble Space Telescope images of red mergers: how dry are they? | WHITAKER K.E. and VAN DOKKUM P.G. | |||||
| 2011ApJ...730..130D | 15 | D | 2 | 55 | 3 | The dirt on dry mergers. | DESAI V., DEY A., COHEN E., et al. | ||
|
2011A&A...527A.126P
|
15 | D | 1 | 16772 | 65 | Cross-correlation of the 2XMMi catalogue with Data Release 7 of the Sloan Digital Sky Survey. | PINEAU F.-X., MOTCH C., CARRERA F., et al. | ||
|
2012ApJS..200....8K
|
15 | D | 1 | 21798 | 154 | AGES: the AGN and Galaxy Evolution Survey. | KOCHANEK C.S., EISENSTEIN D.J., COOL R.J., et al. | ||
|
2013ApJ...778..188T
|
15 | D | 1 | 618 | 17 | Empirical links between XRB and AGN accretion using the complete z < 0.4 spectroscopic CSC/SDSS catalog. | TRICHAS M., GREEN P.J., CONSTANTIN A., et al. | ||
|
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. | ||
|
2021A&A...655A..17S
|
17 | D | 1 | 338578 | 3 | The SPECFIND V3.0 catalog of radio continuum cross-identifications and spectra: Reaching lower frequencies. | STEIN Y., VOLLMER B., BOCH T., 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. | ||
|
2023ApJS..269....3M
|
17 | D | 1 | 356397 | ~ | Siena Galaxy Atlas 2020. | MOUSTAKAS J., LANG D., DEY A., et al. |
