11 citations · 27 across the 12 of their papers we have counts for
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astro-ph.GA2024★ 6 cited
Exploring the Dark Matter Disc Model in Dwarf Galaxies: Insights from the LITTLE THINGS Sample
Francesco Sylos Labini, Roberto Capuzzo-Dolcetta, Giordano De Marzo +1
We conducted an analysis of the velocity field of dwarf galaxies in the LITTLE THINGS sample, focusing on deriving 2D velocity maps that encompass both the transverse and radial ve…
physics.soc-ph2024★ 1 cited
Machine learning-based similarity measure to forecast M&A from patent data
Giambattista Albora, Matteo Straccamore, Andrea Zaccaria
Defining and finalizing Mergers and Acquisitions (M&A) requires complex human skills, which makes it very hard to automatically find the best partner or predict which firms will ma…