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20212026
most citedExploring the Dark Matter Disc Model in Dwarf Galaxies: Insights from the LITTLE THINGS Sample

6 citations · 8 across the 7 of their papers we have counts for

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physics.soc-ph2025

Comparative Analysis of Technological Fitness and Coherence at different geographical scales

Matteo Straccamore, Matteo Bruno, Andrea Tacchella

Debates over the trade-offs between specialization and diversification have long intrigued scholars and policymakers. Specialization can amplify an economy by concentrating on core…

physics.soc-ph20241 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…

physics.soc-ph2023

The geography of innovation dynamics

Matteo Straccamore, Vittorio Loreto, Pietro Gravino

Cities and metropolitan areas are major drivers of creativity and innovation in all possible sectors: scientific, technological, social, artistic, etc. The critical concentration a…

physics.soc-ph2023

Spaces of innovation and venture formation: the case of biotech in the United Kingdom

Francesco Marzolla, Przemysław Nowak, Rohit Sahasrabuddhe +4

Patents serve as valuable indicators of innovation and provide insights into the spaces of innovation and venture formation within geographic regions. In this study, we utilise pat…

physics.soc-ph2021

Which will be your firm's next technology? Comparison between machine learning and network-based algorithms

Matteo Straccamore, Luciano Pietronero, Andrea Zaccaria

We reconstruct the innovation dynamics of about two hundred thousand companies by following their patenting activity for about ten years. We define the technological portfolios of…