The scientific influence of nations on global scientific and technological development

Patelli, Aurelio; Cimini, Giulio; Pugliese, Emanuele; Gabrielli, Andrea

doi:10.1016/j.joi.2017.10.005

Cited by 25 publications

(16 citation statements)

References 50 publications

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“…The potential application of a quantitative framework for innovation are countless, ranging from scientific policy, to R&D strategies for firms, regions and even nations, it can be connected to socioeconomic data, to products and can be embedded in frameworks for industrial development. More in general, the recently developed field of Economic Complexity is demonstrating how representing social, economical and technological ecosystems as bipartite networks is an extremely powerful approach, that has already yielded very important results, [44][45][46][47][48][49][50][51][52]. We believe that the ideas developed in this work will find vast and crucial applications in better characterizing and predicting the dynamics of socio-economic bipartite networks.…”

Section: Plos Onementioning

confidence: 81%

The Language of Innovation

2020

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Predicting innovation is a peculiar problem in data science. Following its definition, an innovation is always a never-seen-before event, leaving no room for traditional supervised learning approaches. Here we propose a strategy to address the problem in the context of innovative patents, by defining innovations as never-seen-before associations of technologies and exploiting self-supervised learning techniques. We think of technological codes present in patents as a vocabulary and the whole technological corpus as written in a specific, evolving language. We leverage such structure with techniques borrowed from Natural Language Processing by embedding technologies in a high dimensional euclidean space where relative positions are representative of learned semantics. Proximity in this space is an effective predictor of specific innovation events, that outperforms a wide range of standard link-prediction metrics. The success of patented innovations follows a complex dynamics characterized by different patterns which we analyze in details with specific examples. The methods proposed in this paper provide a completely new way of understanding and forecasting innovation, by tackling it from a revealing perspective and opening interesting scenarios for a number of applications and further analytic approaches.

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Section: Plos Onementioning

confidence: 81%

The Language of Innovation

2020

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“…‘Our review of the empirical studies demonstrates that a paper may be cited for very different scientific and non-scientific reasons’ (p. 1635; Patelli et al, 2017 , p. 1230). Different kinds of citation may share the same paper.…”

Section: Resources and Outputsmentioning

confidence: 99%

‘All things are in flux’: China in global science

Marginson

2021

High Educ

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Since 1990, a large and dynamic global science system has evolved, based on grass roots collaboration, and resting on the resources, infrastructure and personnel housed by national science systems. Euro-American science systems have become intensively networked in a global duopoly; and many other countries have built national science systems, including a group of large- and middle-sized countries that follow semi-autonomous trajectories based on state investment, intensive national network building, and international engagement, without integrating tightly into the global duopoly. The dual global/national approach pursued by these systems, including China, South Korea, Iran and India, is not always fully understood in papers on science. Nevertheless, China is now the number two science country in the world, the largest producer of papers and number one in parts of STEM physical sciences. The paper investigates the remarkable evolution of China’s science funding, output, discipline balance, internationalisation strategy and national and global networking. China has combined global activity and the local/national building of science in positive sum manner, on the ground of the nationally nested science system. The paper also discusses limits of the achievement, noting that while China-US relations have been instrumental in building science, a partial decoupling is occurring and the future is unclear.

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“…Jacsó and Péter [15] extended the h-index at the country level to analyze the scientific capability of countries from the perspective of research productivity and impact. Patelli et al [4] analyzed the scientific capability of countries by using the science relevance index and technology relevance index calculated from the publications and citations count in terms of further advancements in science and the introduction of new technologies. Zhang et al [16] analyzed the share of publications in 2140 ESI's highly cited papers list from 2005 to 2014 to find that China has achieved noticeable progress in economics and business research.…”

Section: Related Workmentioning

confidence: 99%

Analysis of Countries’ Scientific Capability in Dual Scientific Roles

Zhang

Liu

2020

IEEE Access

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Understanding a country's scientific situation is essential for any country. Common indicators for measuring a country's scientific capability are the number of publications and citations. In this study, we design a new method, the citation induced scientific capability identification (CISCI) method, to measure a country's scientific capability from the perspective of the scientific roles the country undertakes in scientific research. Then, we employ this method to analyze countries' scientific capability based on downloaded citation data in the field of economics and business. Finally, we check the applicability of our designed method and explore countries' scientific capability in the accounting and physics disciplines. The results show that the scientific capability of 158 countries has been changing for many years. Every country has different scientific capabilities in different scientific roles, and China's scientific capability has improved dramatically. The CISCI method is applicable for analyzing scientific capability in scientific research.

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The scientific influence of nations on global scientific and technological development

Cited by 25 publications

References 50 publications

The Language of Innovation

The Language of Innovation

‘All things are in flux’: China in global science

Analysis of Countries’ Scientific Capability in Dual Scientific Roles

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