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Additive manufacturing technologies for biomedical engineering applications

Research trends and scientific impact

Bibliographic Data

ID12623357
AuthorsEnara Zarrabeitia Bilbao (0000-0002-2347-3885, University of the Basque Country, corresponding author), Enara Zarrabeitia-Bilbao, Izaskun Alvarez-Meaza (0000-0002-2110-0719, University of the Basque Country), Rosa-María Rio-Belver (0000-0002-4244-9098, University of the Basque Country), Gaizka Garechana-Anacabe (0000-0002-1913-3239, University of the Basque Country)
Year2019
Volume28
Issue2
Publication date2019-03-23
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEl Profesional de la Informacion (JOURNAL)
Journal identifiersISSN: 1386-6710 • E-ISSN: 1699-2407
PublisherEdiciones Profesionales de la Informacion SL (PUBLISHER)
DOI10.3145/epi.2019.mar.20
OpenAlexW2942941176
LanguageEN
References cited5

Additive Manufacturing (AM) technologies, technologies that produce three-dimensional parts layer by layer from a material, have the potential to revolutionize the paradigm of manufacturing. Furthermore, in recent years AM technologies have sparked intense interest for developing medical implants, devices, and scaffolds. In this context, the main objective of this article is to present an overall view of the trends and the impact of the research carried out in AM technologies for biomedical engineering applications. Therefore, to achieve the main objective, a research trend and scientific impact analysis model was designed and implemented, to carry out a bibliometric indicator analysis, in general, and a web indicator analysis, in particular. The findings obtained will advance the means of visualizing the state of research in AM for biomedical engineering technologies

Bibliometrics · Context (archaeology · Data science · Emerging technologies · Engineering management · Health care · Health technology · Manufacturing engineering · Systems engineering · World Wide Web · Additive Manufacturing and 3D Printing Technologies · Additive Manufacturing Materials and Processes · Computer Science · Digital Transformation in Industry · Engineering

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  • A comparison of title words for journal articles and Wikipedia pages

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  • Software survey

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Citation velocityhistorical
Highly citedNo

Tools

Open DOIOpen Access
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