Determining Technologies Trends and Evolution of Smart Building Technologies by Bibliometric Analysis from 1984 to 2020: Trends, research opportunities and future perspectives
N. K. Gamboa-Rosales,Luis Daniel López-Robles,Leonardo Bertolin Furstenau,Michele Kremer Sott,Manuel Cobo,José-Ricardo López-Robles +5 more
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The article was published on 2021-01-01 and is currently open access. It has received 2 citations till now.read more
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Opportunities and applications of smart contracts: A vision from the business, academic and scientific literature
TL;DR: In this article , the authors reviewed the bibliographical production referring to smart contracts from the business, academic and scientific points of view, and analyzed precisely how the relationship between smart contracts and blockchain occurs to establish a context in both developments.
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Social determinants in research on economic freedom of university graduates: a bibliometric and content analysis
TL;DR: In this paper , the authors present a quantitative methodology, with a descriptive exploratory scope, through a bibliometric analysis using the SciMAT software on 748 scientific publications collected from Scopus on the topic of economic freedom, all with a holistic approach.
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An index to quantify an individual's scientific research output
TL;DR: The index h, defined as the number of papers with citation number ≥h, is proposed as a useful index to characterize the scientific output of a researcher.
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Science mapping software tools: Review, analysis, and cooperative study among tools
TL;DR: The aim of this article is to review, analyze, and compare some of the software tools used to carry out science mapping analysis, taking into account aspects such as the bibliometric techniques available and the different kinds of analysis.
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From translations to problematic networks: An introduction to co-word analysis:
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Co-word analysis as a tool for describing the network of interactions between basic and technological research: The case of polymer chemsitry
TL;DR: The co-word analysis techniques developed in this paper should help to build a bridge between research in scientometrics and work underway to better understand the economics of innovation.
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An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field
TL;DR: This approach combines performance analysis and science mapping for detecting and visualizing conceptual subdomains (particular themes or general thematic areas) and allows us to quantify and visualize the thematic evolution of a given research field.