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| LEDA 1157430 , the SIMBAD biblio (9 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.15CEST01:56:32 |
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trying to find the most relevant references on this object.
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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 |
|---|---|---|---|---|---|---|---|---|---|
2003A&A...412...45P 
|
15 | D | 1 | 956189 | 750 | HYPERLEDA. I. Identification and designation of galaxies. | PATUREL G., PETIT C., PRUGNIEL P., et al. | ||
|
2003AJ....125.1817B
|
8657 | 242 | Early-type galaxies in the Sloan Digital Sky Survey. I. The sample. | BERNARDI M., SHETH R.K., ANNIS J., et al. | |||||
|
2003MNRAS.344..307L
|
63299 | 194 | The Millennium Galaxy Catalogue: 16 ≤BMGC< 24 galaxy counts and the calibration of the local galaxy luminosity function. | LISKE J., LEMON D.J., DRIVER S.P., et al. | |||||
|
2011MNRAS.416..727C
|
15 | D | 1 | 3386 | 57 | The Padova–Millennium galaxy and group catalogue (PM2GC): the group-finding method and the PM2GC catalogues of group, binary and single field galaxies. | CALVI R., POGGIANTI B.M. and VULCANI B. | ||
|
2013ApJ...762...77P
|
15 | D | 1 | 999 | 152 | Superdense galaxies and the mass-size relation at low redshift. | POGGIANTI B.M., CALVI R., BINDONI D., et al. | ||
|
2013MNRAS.432.3141C
|
15 | D | 1 | 3210 | 26 | The impact of global environment on galaxy mass functions at low redshift. | CALVI R., POGGIANTI B.M., VULCANI B., et al. | ||
|
2019ApJS..244....3D
|
16 | D | 1 | 23803 | ~ | Circumventing the effects of projection and dust using inclination-independent infrared galaxy structure measurements: method, error analysis, and a new public catalog of near-infrared galaxy structures. | DEVOUR B.M. and BELL E.F. | ||
|
2020MNRAS.498.4943B
|
16 | D | 1 | 4016 | 15 | Are the Milky Way and Andromeda unusual? A comparison with Milky Way and Andromeda analogues. | BOARDMAN N., ZASOWSKI G., NEWMAN J.A., 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. |
