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| NVSS J032517+333242 , the SIMBAD biblio (17 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST14:20:46 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| 1971AJ.....76..980D | 254 | 87 | The NRAO 5-GHz radio source survey. I. A survey of faint sources. | DAVIS M.M. | |||||
|
1986A&AS...65..267A |
877 | 20 | A 5-GHz survey of radio sources. | ALTSCHULER D.R. | |||||
|
1987A&AS...70...77F |
85 | 5 | Flux density measurements of faint radio sources at 2.7 and 4.75 GHz. | FORKERT T. and ALTSCHULER D.R. | |||||
|
2003MNRAS.341....1M |
15 | D | 1 | 10126 | 328 | The Cosmic Lens All-Sky Survey - I. Source selection and observations. | MYERS S.T., JACKSON N.J., BROWNE I.W.A., et al. | ||
|
2010A&A...511A..53V |
15 | D | 1 | 107473 | 39 | The SPECFIND V2.0 catalogue of radio cross-identifications and spectra. SPECFIND meets the Virtual Observatory. | VOLLMER B., GASSMANN B., DERRIERE S., et al. | ||
|
2019ApJ...887..134K |
16 | D | 1 | 1314 | ~ | Evaluating the classification of Fermi BCUs from the 4FGL catalog using machine learning. | KANG S.-J., LI E., OU W., et al. | ||
|
2020MNRAS.493.1926K |
16 | D | 1 | 1330 | ~ | Classification of blazar candidates of uncertain type from the Fermi LAT 8-yr source catalogue with an artificial neural network. | KOVACEVIC M., CHIARO G., CUTINI S., et al. | ||
|
2020ApJS..247...33A |
16 | D | 1 | 5175 | 880 | Fermi Large Area Telescope fourth source catalog. | ABDOLLAHI S., ACERO F., ACKERMANN M., et al. | ||
|
2020ApJ...892..105A |
16 | D | 1 | 3421 | 235 | The fourth catalog of active galactic nuclei detected by the Fermi Large Area Telescope. | AJELLO M., ANGIONI R., AXELSSON M., et al. | ||
|
2020A&A...643A.103P |
16 | D | 1 | 406 | ~ | Optical spectroscopic observations of low-energy counterparts of Fermi-LAT γ-ray sources. | PENA-HERAZO H.A., AMAYA-ALMAZAN R.A., MASSARO F., et al. | ||
|
2021ApJS..253...46P |
17 | D | 1 | 1078 | 38 | The central engines of Fermi blazars. | PALIYA V.S., DOMINGUEZ A., AJELLO M., et al. | ||
| 2021MNRAS.505.5853G | 17 | D | 2 | 5834 | ~ | Artificial Neural Network classification of 4FGL sources. | GERMANI S., TOSTI G., LUBRANO P., et al. | ||
|
2021A&A...655A..17S |
17 | D | 1 | 338578 | 3 | The SPECFIND V3.0 catalog of radio continuum cross-identifications and spectra: Reaching lower frequencies. | STEIN Y., VOLLMER B., BOCH T., et al. | ||
|
2022A&A...660A..87B |
17 | D | 1 | 6191 | 10 | Machine learning methods for constructing probabilistic Fermi-LAT catalogs. | BHAT A. and MALYSHEV D. | ||
|
2022ApJS..260...53A |
17 | D | 1 | 6710 | 133 | Incremental Fermi Large Area Telescope Fourth Source Catalog. | ABDOLLAHI S., ACERO F., BALDINI L., et al. | ||
|
2022ApJS..263...24A |
17 | D | 1 | 3828 | 15 | The Fourth Catalog of Active Galactic Nuclei Detected by the Fermi Large Area Telescope: Data Release 3. | AJELLO M., BALDINI L., BALLET J., et al. | ||
| 2025ApJS..279....3X | 19 | D | 1 | 86 | ~ | A Characteristic Optical Variability Timescale in Jetted Active Galactic Nuclei: A Large Gamma-Ray Emission Sample. | XIONG D., SUN M., WANG J.-X., et al. |