LEDA 1712979 , the SIMBAD biblio

LEDA 1712979 , the SIMBAD biblio (21 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.14CEST22:50:57

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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 viz 15       D               1 956189 750 HYPERLEDA. I. Identification and designation of galaxies. PATUREL G., PETIT C., PRUGNIEL P., et al.
2004BSAO...57....5M viz 17999 28 The 2MASS-selected flat galaxy catalog. MITRONOVA S.N., KARACHENTSEV I.D., KARACHENTSEVA V.E., et al.
2011AJ....142..170H viz 15       D               1 15886 568 The Arecibo Legacy Fast ALFA survey: the α.40 H I source catalog, its characteristics and their impact on the derivation of the H I mass function. HAYNES M.P., GIOVANELLI R., MARTIN A.M., et al.
2013A&A...553A..91F viz 15       D               1 750 25 Hα3: an Hα imaging survey of HI selected galaxies from ALFALFA. IV. Structure of galaxies in the Local and Coma superclusters. FOSSATI M., GAVAZZI G., SAVORGNAN G., et al.
2014ApJ...788...45T viz 15       D               1 224166 54 Luminosity and redshift dependence of the covering factor of active galactic nuclei viewed with WISE and Sloan Digital Sky Survey. TOBA Y., OYABU S., MATSUHARA H., et al.
2015MNRAS.447.1531C viz 16       D               2 13578 26 Update on HI data collection from Green Bank, Parkes and Arecibo telescopes for the Cosmic Flows project. COURTOIS H.M. and TULLY R.B.
2015AstBu..70...24M viz 16       D               1 16520 1 Visual survey of 18020 objects from the 2MFGC catalog. MITRONOVA S.N. and KOROTKOVA G.G.
2015A&A...576A..16G viz 16       D               1 732 10 Hα3: an Hα imaging survey of HIselected galaxies from ALFALFA. V. The Coma supercluster survey completion. GAVAZZI G., CONSOLANDI G., VISCARDI E., et al.
2015ApJ...809..146B viz 16       D               1 1719 72 A study in blue: the baryon content of isolated low-mass galaxies. BRADFORD J.D., GEHA M.C. and BLANTON M.R.
2016A&A...593A..40V viz 16       D               1 2182 2 Full stellar kinematical profiles of central parts of nearby galaxies. VUDRAGOVIC A., SAMUROVIC S. and JOVANOVIC M.
2018ApJ...861...49H viz 16       D               1 31270 293 The Arecibo Legacy Fast ALFA survey: the ALFALFA extragalactic H I source catalog. HAYNES M.P., GIOVANELLI R., KENT B.R., et al.
2020ApJ...902..145K viz 16       D               1 10723 45 Cosmicflows-4: the catalog of ∼10,000 Tully-Fisher distances. KOURKCHI E., TULLY R.B., EFTEKHARZADEH S., et al.
2022MNRAS.511.6160K viz 17       D               1 10144 10 Cosmicflows-4: the baryonic Tully-Fisher relation providing ∼10 000 distances. KOURKCHI E., TULLY R.B., COURTOIS H.M., et al.
2022ApJS..261...21Y viz 17       D               1 29963 6 Statistical Analysis of H I Profile Asymmetry and Shape for Nearby Galaxies. YU N., HO L.C., WANG J., 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..268...63M viz 17       D               1 562 ~ The New Swift/UVOT+MaNGA (SwiM) Value-added Catalog. MOLINA M., DUFFY L., ERACLEOUS M., et al.
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.

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