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| KOI-2382 , the SIMBAD biblio (11 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST05:32:58 |
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 |
|---|---|---|---|---|---|---|---|---|---|
2013MNRAS.431.2240B 
|
15 | D | 1 | 899 | 128 | Activity in A-type stars. | BALONA L.A. | ||
|
2014ApJS..210...19B
|
15 | 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
|
15 | D | 1 | 8013 | 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. | ||
|
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. | ||
|
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. | ||
|
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. | ||
|
2017MNRAS.467.1830B
|
16 | D | 1 | 642 | 26 | Starspots on A stars. | BALONA L.A. | ||
|
2019MNRAS.485.2380M
|
16 | D | 1 | 14330 | 108 | Gaia-derived luminosities of Kepler A/F stars and the pulsator fraction across the δ Scuti instability strip. | MURPHY S.J., HEY D., VAN REETH T., et al. | ||
|
2019MNRAS.490.2112B
|
16 | D | 1 | 2864 | ~ | Evidence for spots on hot stars suggests major revision of stellar physics. | BALONA L.A. | ||
| 2021MNRAS.504.5327A | 17 | D | 1 | 7000 | 19 | Exoplanet validation with machine learning: 50 new validated Kepler planets. | ARMSTRONG D.J., GAMPER J. and DAMOULAS T. | ||
|
2022ApJS..259...63S
|
17 | D | 1 | 10269 | 2 | Objective Separation between CP1 and CP2 Based on Feature Extraction with Machine Learning. | SHANG L.-H., LUO A.-L., WANG L., et al. |
