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| LEDA 1157104 , the SIMBAD biblio (14 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.14CEST23:42:38 |
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 |
|---|---|---|---|---|---|---|---|---|---|
2003A&A...412...45P 
|
15 | D | 1 | 956189 | 750 | HYPERLEDA. I. Identification and designation of galaxies. | PATUREL G., PETIT C., PRUGNIEL P., et al. | ||
|
2012ApJS..199...26H
|
15 | D | 2 | 48926 | 517 | The 2MASS Redshift Survey - Description and data release. | HUCHRA J.P., MACRI L.M., MASTERS K.L., et al. | ||
|
2015AJ....149..171T
|
16 | D | 1 | 49219 | 119 | Galaxy groups: a 2MASS catalog. | TULLY R.B. | ||
|
2016A&A...588A..14T
|
16 | D | 2 | 84079 | 35 | Friends-of-friends galaxy group finder with membership refinement. | TEMPEL E., KIPPER R., TAMM A., et al. | ||
|
2018MNRAS.480..707P
|
16 | D | 1 | 4785 | 7 | The Stripe 82 1-2 GHz Very Large Array Snapshot Survey: multiwavelength counterparts. | PRESCOTT M., WHITTAM I.H., JARVIS M.J., et al. | ||
|
2018A&A...618A..81T
|
16 | D | 1 | 50420 | 14 | Bayesian group finder based on marked point processes. Method and feasibility study using the 2MRS data set. | TEMPEL E., KRUUSE M., KIPPER R., 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. | ||
|
2021ApJ...914..121A
|
17 | D | 1 | 43541 | 20 | The NANOGrav 11 yr data set: limits on supermassive black hole binaries in galaxies within 500 Mpc. | ARZOUMANIAN Z., BAKER P.T., BRAZIER 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. | ||
|
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. | ||
|
2024MNRAS.527.7438R
|
18 | D | 1 | 4215 | ~ | The Tully-Fisher relation from SDSS-MaNGA: physical causes of scatter and variation at different radii. | RISTEA A., CORTESE L., FRASER-MCKELVIE A., et al. | ||
| 2024AJ....168..197B | 18 | D | 2 | 305 | ~ | SDSS. IV. MaNGA: The Impact of the Acquisition of Gas with Opposite Angular Momentum on the Evolution of Galaxies. | BEOM M., WALTERBOS R.A.M. and BIZYAEV D. | ||
|
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. |
