550 citations · 1.3k across the 140 of their papers we have counts for
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astro-ph.GA2021★ 29 cited
Random Forests as a viable method to select and discover high redshift quasars
Lukas Wenzl, Jan-Torge Schindler, Xiaohui Fan +9
We present a method of selecting quasars up to redshift 6 with random forests, a supervised machine learning method, applied to Pan-STARRS1 and WISE data. We find that, t…
astro-ph.CO2021★ 85 cited
The discovery of a highly accreting, radio-loud quasar at z=6.82
Eduardo Banados, Chiara Mazzucchelli, Emmanuel Momjian +17
Radio sources at the highest redshifts can provide unique information on the first massive galaxies and black holes, the densest primordial environments, and the epoch of reionizat…