Kepler-1604b , the SIMBAD biblio

Kepler-1604b , the SIMBAD biblio (10 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.15CEST04:12:29


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
2014ApJ...787...47S viz 15       D               1 222 160 A study of the shortest-period planets found with Kepler. SANCHIS-OJEDA R., RAPPAPORT S., WINN J.N., et al.
2017AJ....154..108J viz 16       D               1 3237 137 The California-Kepler Survey. II. Precise physical properties of 2025 Kepler planets and their host stars. JOHNSON J.A., PETIGURA E.A., FULTON B.J., et al.
2018ApJ...866...99B viz 16       D               1 7129 233 Revised radii of Kepler stars and planet's using Gaia Data Release 2. BERGER T.A., HUBER D., GAIDOS E., et al.
2018AJ....156..264F viz 16       D               1 1909 365 The California-Kepler Survey. VII. Precise planet radii leveraging Gaia DR2 reveal the stellar mass dependence of the Planet radius gap. FULTON B.J. and PETIGURA E.A.
2019ApJ...875...29M viz 16       D               1 2918 72 A spectroscopic analysis of the California-Kepler Survey sample. I. Stellar parameters, planetary radii, and a slope in the radius gap. MARTINEZ C.F., CUNHA K., GHEZZI L., et al.
2019AJ....157..171K viz 16       D               1 4069 2 Visual analysis and demographics of Kepler transit timing variations. KANE M., RAGOZZINE D., FLOWERS X., et al.
2020AJ....160..108B viz 16       D               1 6855 109 The Gaia-Kepler stellar properties catalog. II. Planet radius demographics as a function of stellar mass and age. BERGER T.A., HUBER D., GAIDOS E., et al.
2022AJ....163..128W viz 17       D               1 1570 6 The influence of 10 unique chemical elements in shaping the distribution of Kepler planets. WILSON R.F., CANAS C.I., MAJEWSKI S.R., et al.
2022ApJ...926..120V 85           X         2 645 13 ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier That Validates 301 New Exoplanets. VALIZADEGAN H., MARTINHO M.J.S., WILKENS L.S., et al.
2022MNRAS.513.2732S 43           X         1 51 1 fBLS - a fast-folding BLS algorithm. SHAHAF S., ZACKAY B., MAZEH T., et al.

goto View the references in ADS