1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.DL2022★ 1 cited
Novelpy: A Python package to measure novelty and disruptiveness of bibliometric and patent data
Pierre Pelletier, Kevin Wirtz
Novelpy (v1.2) is an open-source Python package designed to compute bibliometrics indicators. The package aims to provide a tool to the scientometrics community that centralizes di…
econ.GN2021
Global health science leverages established collaboration network to fight COVID-19
Stefano Bianchini, Moritz Müller, Pierre Pelletier +1
How has the science system reacted to the early stages of the COVID-19 pandemic? Here we compare the (growing) international network for coronavirus research with the broader inter…
cs.CY2020★ 1 cited
Deep Learning in Science
Stefano Bianchini, Moritz Müller, Pierre Pelletier
Much of the recent success of Artificial Intelligence (AI) has been spurred on by impressive achievements within a broader family of machine learning methods, commonly referred to…