CoRoT 100767569 , the SIMBAD biblio

CoRoT 100767569 , the SIMBAD biblio (11 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST18:21:56

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
2009A&A...506..501C viz 15       D               1 209 31 Planetary transit candidates in CoRoT-LRc01 field. CABRERA J., FRIDLUND M., OLLIVIER M., et al.
2013A&A...550A.120S viz 15       D               1 6832 13 Improved variability classification of CoRoT targets with Giraffe spectra. SARRO L.M., DEBOSSCHER J., NEINER C., et al.
2017A&A...602A.117K viz 16       D               1 670 2 Limits to the presence of transiting circumbinary planets in CoRoT Data. KLAGYIVIK P., DEEG H.J., CABRERA J., et al.
2020AJ....160..120J viz 16       D               1 365763 238 APOGEE data and spectral analysis from SDSS Data Release 16: seven years of observations including first results from APOGEE-South. JONSSON H., HOLTZMAN J.A., ALLENDE PRIETO C., et al.
2020ApJ...901..109H viz 16       D               1 45439 31 Exploring the stellar age distribution of the Milky Way bulge using APOGEE. HASSELQUIST S., ZASOWSKI G., FEUILLET D.K., et al.
2021MNRAS.506..150B viz 17       D               1 588596 276 The GALAH+ survey: Third data release. BUDER S., SHARMA S., KOS J., et al.
2022AJ....163..152S viz 17       D               1 583193 11 APOGEE Net: An Expanded Spectral Model of Both Low-mass and High-mass Stars. SPRAGUE D., CULHANE C., KOUNKEL M., et al.
2022ApJS..259...35A viz 17       D               1 611005 320 The Seventeenth Data Release of the Sloan Digital Sky Surveys: Complete Release of MaNGA, MaStar, and APOGEE-2 Data. ABDURRO'UF, ACCETTA K., AERTS C., et al.
2023A&A...671A..61N viz 17       D               1 39409 4 The Gaia-ESO Survey: Preparing the ground for 4MOST and WEAVE galactic surveys Chemical evolution of lithium with machine learning. NEPAL S., GUIGLION G., DE JONG R.S., et al.
2023A&A...676A.129H viz 17       D               1 114943 ~ The Gaia-ESO Survey: Homogenisation of stellar parameters and elemental abundances. HOURIHANE A., FRANCOIS P., WORLEY C.C., et al.
2024A&A...692A.228C viz 18       D               1 49864 ~ Inferring stellar parameters and their uncertainties from high-resolution spectroscopy using invertible neural networks. CANDEBAT N., SACCO G.G., MAGRINI L., et al.

goto View the references in ADS