We develop natural language processing techniques to identify the creation and impact of
new technologies in the population of US patents. We validate the new techniques and their …

Novelty is a core value in science, and a reliable measurement of novelty is crucial. This
study proposes a new approach of measuring the novelty of scientific articles based on both …

Qualitative approaches have dominated the analysis of technological innovation systems
(TIS). However, considering the limited generalizability and time-consuming nature of …

Studies on catching up and industrial leadership have often used market-related variables to
evaluate the catch-up trajectories of latecomer countries and firms. In this study, we aim to …

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 …

Query by Example is a well-known information retrieval task in which a document is chosen
by the user as the search query and the goal is to retrieve relevant documents from a large …

This paper examines how the collaboration network structure of an innovation site
influences the adoption and future use of its innovations. We explore the effects of tie …

This paper investigates the relationship between scientists' cognitive profile and their ability
to generate innovative ideas and gain scientific recognition. We propose a novel author …

The number of patents has increased tremendously in recent years and statistics derived
from patents have become the standard measurement for innovation. Patents statistics are …

Measurable research outputs such as papers, patents, and innovations have been subject to
high enduring growth rates over the last century. Yet, recent empirical evidence suggests …