Author: VPInstitute
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Integrating bibliometrics and roadmapping methods: A case of dye-sensitized solar cell technology-based industry in China
Emerging industries are attracting increasing attention as they engage in innovation activities that transgress the boundaries of science and technology. Policy makers and industrial communities use roadmapping methods to predict future industrial growth, but the existing bibliometric/workshop methods have limitations when analyzing the full-lifecycle industrial emergence, including the transitions between science, technology, application, and the…
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Bibliometrics: Visualizing the Impact of Nursing Research
Nurse scientists commonly weigh the impact of their work on the discipline of nursing as well as within the larger healthcare arena. Bibliometrics, a statistical method used in citation and content analysis, is a quantitative approach for calculating output and for analyzing value and merit of scientific output. Bibliometric mapping is a method for visually…
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The Contribution of Information Science through Intellectual Property to Innovation in the Brazilian Health Sector
In response to the challenges of the 21st century, emerging countries have played an increasingly leading role in the global economy, and public health has been a notable feature of the government agendas in these countries. According to the IMF, Brazil is one of the countries with the greatest potential to stand out in this…
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A patento-scientometric approach to venture capital investment prioritization
This paper proposes an approach to analyzing and prioritizing venture capital investments with the use of scientometric and patentometric indicators. The article highlights the importance of such investments in the development of technology-based companies and their positive impacts on the economic development of regions and countries. It also notes that the managers of venture capital…
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Clustering scientific documents with topic modeling
Topic modeling is a type of statistical model for discovering the latent “topics” that occur in a collection of documents through machine learning. Currently, latent Dirichlet allocation (LDA) is a popular and common modeling approach. In this paper, we investigate methods, including LDA and its extensions, for separating a set of scientific publications into several…
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Distance and velocity measures: using citations to determine breadth and speed of research impact
Research that integrates the social and natural sciences is vital to address many societal challenges, yet is difficult to arrange, conduct, and disseminate. This paper compares diffusion of the research supported by a unique U.S. National Science Foundation program on Human and Social Dynamics (“HSD”) with a matched group of heavily cited papers.
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Comparative study on structure and correlation among author co-occurrence networks in bibliometrics
This paper introduces author-level bibliometric co-occurrence network by discussing its history and contribution to the analysis of scholarly communication and intellectual structure.
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Prospects and Trends in the Brazilian Market for Biologically Sourced Products
The aim of this paper was to select the most interesting Brazilian biopharmaceuticals, with the best market opportunity for production.
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China’s Growing Contribution to Global Intracranial Aneurysm Research (1991–2012): A Bibliometric Study
We sought to analyze the growing worldwide trends of intracranial aneurysm research, investigate China’s recent contribution, and compare the contributions of mainland China, Taiwan, and Hong Kong.
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How to combine term clumping and technology roadmapping for newly emerging science & technology competitive intelligence: “problem & solution” pattern based semantic TRIZ tool and case study
Competitive technical intelligence addresses the landscape of both opportunities and competition for emerging technologies, as the boom of newly emerging science & technology (NEST)—characterized by a challenging combination of great uncertainty and great potential—has become a significant feature of the globalized world. We have been focusing on the construction of a “NEST Competitive Intelligence”…