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| SDSS J003159.85+093618.4 , the SIMBAD biblio (16 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST15:09:25 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
|
2015ApJS..218...23A |
16 | D | 1 | 3140 | 1411 | Fermi Large Area Telescope third source catalog. | ACERO F., ACKERMANN M., AJELLO M., et al. | ||
|
2016ApJ...820....8S |
16 | D | 1 | 3047 | 91 | Classification and ranking of Fermi LAT gamma-ray sources from the 3FGL catalog using machine learning techniques. | SAZ PARKINSON P.M., XU H., YU P.L.H., et al. | ||
|
2017A&A...602A..86L |
16 | D | 2 | 1082 | 1 | Research and characterisation of blazar candidates among the Fermi/LAT 3FGL catalogue using multivariate classifications. | LEFAUCHEUR J. and PITA S. | ||
|
2017ApJ...846L..19P |
16 | D | 2 | 54 | 9 | A millisecond pulsar discovery in a survey of unidentified Fermi γ-ray sources with LOFAR. | PLEUNIS Z., BASSA C.G., HESSELS J.W.T., et al. | ||
|
2017MNRAS.470.1291S |
16 | D | 1 | 563 | 2 | 3FGLzoo: classifying 3FGL unassociated Fermi-LAT γ-ray sources by artificial neural networks. | SALVETTI D., CHIARO G., LA MURA G., et al. | ||
| 2019ApJ...871..162P | 341 | D | X | 9 | 32 | 8 | Optical spectroscopic survey of a sample of unidentified Fermi objects: II. | PAIANO S., FALOMO R., TREVES A., et al. | |
|
2019ApJ...887...18K |
16 | D | 2 | 250 | ~ | Classification of new X-ray counterparts for Fermi unassociated gamma-ray sources using the Swift X-Ray Telescope. | KAUR A., FALCONE A.D., STROH M.D., et al. | ||
| 2020A&A...638A.128M | 16 | D | 2 | 51 | ~ | The γ-ray sky seen at X-ray energies. II. The Swift hunt of Fermi BL Lac objects among unidentified γ-ray sources. | MARCHESINI E.J., PAGGI A., MASSARO F., et al. | ||
|
2020ApJS..250....8L |
16 | D | 1 | 750061 | 219 | The Sloan Digital Sky Survey quasar catalog: Sixteenth Data Release. | LYKE B.W., HIGLEY A.N., McLANE J.N., et al. | ||
|
2021AJ....161..154K |
17 | D | 2 | 185 | ~ | X-ray spectra and multiwavelength machine learning classification for likely counterparts to Fermi 3FGL unassociated sources. | KERBY S., KAUR A., FALCONE A.D., et al. | ||
|
2021ApJ...912...91T |
17 | D | 1 | 37181 | 25 | How does the polar dust affect the correlation between dust covering factor and Eddington ratio in type 1 quasars selected from the Sloan Digital Sky Survey Data Release 16? | TOBA Y., UEDA Y., GANDHI P., et al. | ||
|
2021ApJS..255...10M |
393 | D | X | 10 | 29 | 3 | A search for rapid mid-infrared variability in gamma-ray-emitting narrow-line Seyfert 1 galaxies. | MAO L. and YI T. | |
|
2022A&A...660A..87B |
17 | D | 1 | 6191 | 10 | Machine learning methods for constructing probabilistic Fermi-LAT catalogs. | BHAT A. and MALYSHEV D. | ||
|
2023ApJS..264...52H |
17 | D | 1 | 90559 | ~ | Quasar Properties from the Sloan Digital Sky Survey. III. The Quasars Obtained by the SDSS-IV. | HUANG W.-R., CHEN Z.-G., CHEN Z.-F., et al. | ||
| 2025MNRAS.536.1344S | 47 | X | 1 | 70 | ~ | The spectral behaviour and variability of narrow-line Seyfert 1 galaxies with Australia Telescope Compact Array observations. | SHAO X., EDWARDS P.G., STEVENS J., et al. | ||
| 2025MNRAS.543..326U | 392 | D | X F | 8 | 78 | ~ | Characterization of a sample of γ-ray active galactic nuclei. | ULGIATI A., PADOVANI P., GIOMMI P., et al. |