114 citations · 395 across the 12 of their papers we have counts for
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astro-ph.HE2020★ 8 cited
Deep Learning Blazar Classification based on Multi-frequency Spectral Energy Distribution Data
Bernardo M. O. Fraga, Ulisses Barres de Almeida, Clecio R. Bom +4
Blazars are among the most studied sources in high-energy astrophysics as they form the largest fraction of extragalactic gamma-ray sources and are considered prime candidates for…
astro-ph.HE2020★ 6 cited
The Open Universe survey of Swift-XRT GRB fields: a complete sample of HBL blazars
P. Giommi, Y. L. Chang, S. Turriziani +22
We have analysed all the X-ray images centred on Gamma Ray Bursts generated by Swift over the last 15 years using automatic tools that do not require any expertise in X-ray astrono…