Scholar
Massimo Riccaboni
Google Scholar ID: A-W2CxcAAAAJ
IMT Lucca
economics of innovation
applied economics
machine learning
innovation
networks
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
10,611
H-index
48
i10-index
118
Publications
20
Co-authors
58
list available
Publications
6 items
Generative Artificial Intelligence in Scientific Research: Individual Benefits, Collective Risks, and a Framework for Responsible Research with AI
2026
Cited
0
Licensing and Innovation Regimes in Pharmaceutical R&D
2026
Cited
0
A large-scale dataset of Android applications and their SDK dependencies
2026
Cited
0
Bridging Distant Ideas: the Impact of AI on R&D and Recombinant Innovation
2026
Cited
0
The Innovation Recognition Paradox: How Science Undervalues the Boundary-Crossing Work Women Produce
2026
Cited
0
The Impact of Acquisitions in the Biotechnology Sector on R&D Productivity
2022
Cited
0
Co-authors
7 total
Armando Rungi
IMT School for Advanced Studies - Lucca
Giorgio Gnecco
Full Professor (with 4 Full Professor Qualifications), IMT Lucca
michelangelo puliga
Nature 3b project
Gianluca Baio
University College London
Guido Caldarelli
ISC-CNR, Ca’ Foscari University of Venice
Jakub Growiec
SGH Warsaw School of Economics & Narodowy Bank Polski
Marco Bee
Professore di statistica economica, Università di Trento
