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| KOI-3197.01 , the SIMBAD biblio (9 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST17:40:22 |
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 |
|---|---|---|---|---|---|---|---|---|---|
2018ApJ...866...99B 
|
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. | ||
|
2019ApJ...875...29M
|
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
|
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
|
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. | ||
|
2022MNRAS.510.3449B
|
17 | D | 1 | 508 | 7 | Exoplanets in the Galactic context: planet occurrence rates in the thin disc, thick disc, and stellar halo of Kepler stars. | BASHI D. and ZUCKER S. | ||
|
2022AJ....163..179P
|
17 | D | 1 | 2962 | 39 | The California-Kepler Survey. X. The Radius Gap as a Function of Stellar Mass, Metallicity, and Age. | PETIGURA E.A., ROGERS J.G., ISAACSON H., et al. | ||
|
2022A&A...662A..15M
|
17 | D | 1 | 733 | 3 | Tidally driven tectonic activity as a parameter in exoplanet habitability. | McINTYRE S.R.N. | ||
|
2023MNRAS.519.6210M
|
17 | D | 1 | 688 | 1 | A rocky exoplanet classification method and its application to calculating surface pressure and surface temperature. | McINTYRE S.R.N., KING P.L. and MILLS F.P. | ||
| 2026AJ....171...28H | 20 | D | 2 | 28 | ~ | Detection of Exoplanets with Machine Learning Techniques Through Transit Light-curve Analysis. | HOSSAIN M.S. and SADMAN M. |
