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KOI-3094 , the SIMBAD biblio (19 results) | C.D.S. - SIMBAD4 rel 1.8 - 2024.03.29CET15:07:23 |
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 |
---|---|---|---|---|---|---|---|---|---|
2013MNRAS.436.1883W | 16 | D | 1 | 961 | 136 | Rotation periods, variability properties and ages for Kepler exoplanet candidate host stars. | WALKOWICZ L.M. and BASRI G.S. | ||
2013A&A...560A...4R | 16 | D | 1 | 24132 | 291 | Rotation and differential rotation of active Kepler stars. | REINHOLD T., REINERS A. and BASRI G. | ||
2014ApJS..210...19B | 16 | D | 1 | 5860 | 211 | Planetary candidates observed by Kepler IV: planet sample from Q1-Q8 (22 months). | BURKE C.J., BRYSON S.T., MULLALLY F., et al. | ||
2014AJ....147..119C | 16 | D | 1 | 8010 | 91 | Contamination in the Kepler field. Identification of 685 KOIs as false positives via ephemeris matching based on Q1-Q12 data. | COUGHLIN J.L., THOMPSON S.E., BRYSON S.T., et al. | ||
2015ApJ...801....3M | 16 | D | 1 | 3357 | 109 | Photometric amplitude distribution of stellar rotation of KOIs–Indication for spin-orbit alignment of cool stars and high obliquity for hot stars. | MAZEH T., PERETS H.B., McQUILLAN A., et al. | ||
2015ApJS..217...16R | 16 | D | 1 | 8625 | 149 | Planetary candidates observed by Kepler. V. Planet sample from Q1-Q12 (36 months). | ROWE J.F., COUGHLIN J.L., ANTOCI V., et al. | ||
2015ApJS..218...26S | 16 | D | 1 | 275 | 13 | Characterizing the cool KOIs. VIII. Parameters of the planets orbiting Kepler's coolest dwarfs. | SWIFT J.J., MONTET B.T., VANDERBURG A., et al. | ||
2015ApJ...807...45D | 16 | D | 1 | 2707 | 726 | The occurrence of potentially habitable planets orbiting M dwarfs estimated from the full Kepler dataset and an empirical measurement of the detection sensitivity. | DRESSING C.D. and CHARBONNEAU D. | ||
2015ApJ...814..130M | 16 | D | 1 | 2846 | 162 | An increase in the mass of planetary systems around lower-mass stars. | MULDERS G.D., PASCUCCI I. and APAI D. | ||
2016ApJ...822...86M | 16 | D | 1 | 6130 | 337 | False positive probabilities for all Kepler objects of interest: 1284 newly validated planets and 428 likely false positives. | MORTON T.D., BRYSON S.T., COUGHLIN J.L., et al. | ||
2016MNRAS.457.2877G | 16 | D | 1 | 4245 | 141 | They are small worlds after all: revised properties of Kepler M dwarf stars and their planets. | GAIDOS E., MANN A.W., KRAUS A.L., et al. | ||
2017AJ....153...66Z | 16 | D | 1 | 1663 | 45 | Robo-AO Kepler Planetary Candidate Survey. III. Adaptive optics imaging of 1629 Kepler exoplanet candidate host stars. | ZIEGLER C., LAW N.M., MORTON T., et al. | ||
2017AJ....153...71F | 16 | D | 1 | 3575 | 164 | The Kepler follow-up observation program. I. A catalog of companions to Kepler stars from high-resolution imaging. | FURLAN E., CIARDI D.R., EVERETT M.E., et al. | ||
2017MNRAS.465.2634A | 16 | D | 1 | 5400 | 21 | Transit shapes and self-organizing maps as a tool for ranking planetary candidates: application to Kepler and K2. | ARMSTRONG D.J., POLLACCO D. and SANTERNE A. | ||
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. | ||
2020ApJ...890...23L | 17 | D | 1 | 4935 | 35 | Current population statistics do not favor photoevaporation over core-powered mass loss as the dominant cause of the exoplanet radius gap. | LOYD R.O.P., SHKOLNIK E.L., SCHNEIDER A.C., et al. | ||
2020AJ....160..108B | 17 | 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. | ||
2020AJ....160..253L | 17 | D | 1 | 3432 | 12 | An increase in small-planet occurrence with metallicity for late-type dwarf stars in the Kepler field and its implications for planet formation. | LU C.X., SCHLAUFMAN K.C. and CHENG S. | ||
2022ApJ...926..120V | 18 | D | 1 | 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. |