2 citations · 6 across the 7 of their papers we have counts for
7 papers
A Rule-Based Methodology for Company Identification: Application to the Downstream Space Sector
Kenza Bousedra, Pierre Pelletier
This paper proposes an original methodology based on Named Entity Recognition (NER) to identify companies involved in downstream space activities, i.e., companies that provide serv…
Can AI Enhance its Creativity to Beat Humans ?
Anne-Gaëlle Maltese, Pierre Pelletier, Rémy Guichardaz
Creativity is a fundamental pillar of human expression and a driving force behind innovation, yet it now stands at a crossroads. As artificial intelligence advances at an astonishi…
Sails and Anchors: The Complementarity of Exploratory and Exploitative Scientists in Knowledge Creation
Pierre Pelletier, Kevin Wirtz
This paper investigates the relationship between scientists' cognitive profile and their ability to generate innovative ideas and gain scientific recognition. We propose a novel au…
Drivers and Barriers of AI Adoption and Use in Scientific Research
Stefano Bianchini, Moritz Müller, Pierre Pelletier
New technologies have the power to revolutionize science. It has happened in the past and is happening again with the emergence of new computational tools, such as artificial intel…
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…
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…
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…