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dc.contributor.editorJibu, Mari
dc.contributor.editorOsabe, Yoshiyuki
dc.date.accessioned2023-12-01T16:49:28Z
dc.date.available2023-12-01T16:49:28Z
dc.date.issued2018
dc.identifierONIX_20231201_9781789233070_1215
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/130106
dc.description.abstractTechnological change is one of the greatest issues in the modern world. As the world faces societal challenges, e.g., climate challenges, aging problem, and energy security, technology will contribute to new or better solutions for those problems. New technologies take time to develop and mature; moreover, they tend to be born in the gaps of multiple technology fields; therefore, early detection of emerging technological concepts across multiple disciplines will be a very important issue. Our goal seeks to develop automated methods that aid in the systematic, continuous, and comprehensive assessment of technological emergence using one of the major foresight exercises, scientometrics. There is now a huge flood of scientific and technical information, especially scientific publications and patent information. Using the information patterns of emergence for technological concepts has been discovered and theories of technical emergence have been also developed in several years. We have been developing visualization tools in which thousands of technical areas have been interacted with each other and evolved in time. Several indicators of technical emergence have been improved by universities, international organizations, and funding agencies. This book intends to provide readers with a comprehensive overview of the current state of the art in scientometrics that focuses on the systematic, continuous, and comprehensive assessment of technological emergence.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBM Instruments and instrumentation::TBMM Engineering measurement and calibrationen_US
dc.subject.otheremerging technologies, bibliometrics, graphene, big data, biomaterials, graphene oxide
dc.titleScientometrics
dc.typebook
oapen.identifier.doi10.5772/intechopen.72488
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9781789233070
oapen.relation.isbn9781789233063
oapen.relation.isbn9781838816926
oapen.imprintIntechOpen
oapen.pages242


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