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| 4FGL J0930.7+3502 , the SIMBAD biblio (16 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.17CEST16:11:15 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
|
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. | ||
|
2020PASP..132k4102P |
16 | D | 1 | 585 | ~ | Beamed and unbeamed emission of γ-ray blazars. | PEI Z., FAN J., YANG J., et al. | ||
| 2021MNRAS.505.5853G | 17 | D | 2 | 5834 | ~ | Artificial Neural Network classification of 4FGL sources. | GERMANI S., TOSTI G., LUBRANO P., et al. | ||
|
2022ApJ...925...97P |
17 | D | 1 | 809 | 5 | The Estimation of Fundamental Physics Parameters for Fermi-LAT Blazars. | PEI Z., FAN J., YANG J., et al. | ||
|
2022ApJS..259...55N |
17 | D | 1 | 305 | 7 | Predicting the Redshift of Gamma-Ray Loud AGNs Using Supervised Machine Learning. II. | NARENDRA A., GIBSON S.J., DAINOTTI M.G., 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..262...18Y |
17 | D | 1 | 2709 | 8 | The Spectral Energy Distributions for 4FGL Blazars. | YANG J.H., FAN J.H., LIU Y., 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. | ||
| 2022ApJ...939..123C | 17 | D | 1 | 98 | ~ | Hunting for Neutrino Emission from Multifrequency Variable Sources. | CHANG Y.-L., ARSIOLI B., LI W., et al. | ||
|
2023ApJS..268...23F |
17 | D | 1 | 2708 | ~ | Characterizing the Emission Region Properties of Blazars. | FAN J., XIAO H., YANG W., et al. | ||
| 2024MNRAS.530.2282D | 1940 | ~ | Predicting conditional probability distributions of redshifts of Active Galactic Nuclei using Hierarchical Correlation Reconstruction. | DUDA J. and BHATTA G. | |||||
| 2024ApJ...968...37H | 18 | D | 1 | 54 | ~ | A Simple but Powerful Method to Reduce Background Noise in Celestial Gamma-Ray Images. | HEDAYATI KH H., SOOR M. and AKHONDI F. | ||
| 2025MNRAS.537..730S | 112 | D | F | 2 | 66 | ~ | Detection of new gamma-ray AGN candidates using SIMEFIC III and DBSCAN in Fermi-LAT data. | SOOR M., AKHONDI F. and HEDAYATI KH H. | |
| 2025ApJS..278...11L | 19 | D | 1 | 1265 | ~ | Discerning Misclassified Flat-spectrum Radio Quasars from Low-frequency-peaked BL Lacertae Objects. | LIANG S., YANG W.G., ZHENG Y.G., et al. |