LEDA 82579 , the SIMBAD biblio

LEDA 82579 , the SIMBAD biblio (20 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.14CEST18:40:37

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
1991PNAOJ...2....7T viz 459 8 Kiso survey for ultraviolet-excess galaxies. XII. TAKASE B. and MIYAUCHI-ISOBE N.
1996A&AS..117..467G viz 22339 19 An image database. II. Catalogue between δ=-0deg and δ=70deg. GARNIER R., PATUREL G., PETIT C., et al.
2003A&A...412...45P viz 15       D               1 956189 750 HYPERLEDA. I. Identification and designation of galaxies. PATUREL G., PETIT C., PRUGNIEL P., et al.
2015ApJ...812...89M viz 16       D               1 12670 7 ECO and RESOLVE: galaxy disk growth in environmental context. MOFFETT A.J., KANNAPPAN S.J., BERLIND A.A., et al.
2016ApJS..225...23S viz 16       D               1 6768 9 Catalogs of compact groups of galaxies from the enhanced SDSS DR12. SOHN J., GELLER M.J., HWANG H.S., et al.
2017AJ....154...86W viz 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.
2018MNRAS.476.1765L viz 16       D               1 2080 86 SDSS-IV MaNGA: global stellar population and gradients for about 2000 early-type and spiral galaxies on the mass-size plane. LI H., MAO S., CAPPELLARI M., et al.
2018MNRAS.477.4711G viz 16       D               1 2755 110 SDSS-IV MaNGA: stellar angular momentum of about 2300 galaxies: unveiling the bimodality of massive galaxy properties. GRAHAM M.T., CAPPELLARI M., LI H., et al.
2019MNRAS.483.2057F viz 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.
2019ApJ...882....9S viz 16       D               1 735 32 Characterizing the local relation between star formation rate and gas-phase metallicity in MaNGA spiral galaxies. SANCHEZ-MENGUIANO L., SANCHEZ ALMEIDA J., MUNOZ-TUNON C., et al.
2020MNRAS.492.4680W viz 16       D               1 2726 44 Ionized gas outflow signatures in SDSS-IV MaNGA active galactic nuclei. WYLEZALEK D., FLORES A.M., ZAKAMSKA N.L., et al.
2020ApJ...903...52S viz 16       D               1 666 ~ Local and global gas metallicity versus stellar age relation in MaNGA galaxies. SANCHEZ-MENGUIANO L., SANCHEZ ALMEIDA J., MUNOZ-TUNON C., et al.
2021ApJ...908..165P viz 17       D               1 631 ~ SDSS-IV/MaNGA: can impulsive gaseous inflows explain steep oxygen abundance profiles and anomalously low-metallicity regions? PACE Z.J., TREMONTI C., SCHAEFER A.L., et al.
2022MNRAS.513..389R viz 17       D               1 1816 8 Star-forming S0 Galaxies in SDSS-MaNGA: fading spirals or rejuvenated S0s? RATHORE H., KUMAR K., MISHRA P.K., et al.
2022ApJS..262...36S viz 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.
2023A&A...674A..85A viz 17       D               1 6495 2 Classifying the full SDSS-IV MaNGA Survey using optical diagnostic diagrams: Presentation of AGN catalogs in flexible apertures. ALBAN M. and WYLEZALEK D.
2023ApJS..269....3M viz 17       D               1 356397 ~ Siena Galaxy Atlas 2020. MOUSTAKAS J., LANG D., DEY A., et al.
2024MNRAS.527.7438R viz 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.
2024ApJ...970...83B 18       D               1 2480 ~ Structure and Kinematics of Star-forming Elliptical Galaxies in SDSS-MaNGA. BISWAS P. and WADADEKAR Y.
2024NatAs...8.1310A viz 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.

goto View the references in ADS