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Comparative Analysis of Scientific Publications of Research Entities Using Multiple Disciplinary Classifications
Title: | Comparative Analysis of Scientific Publications of Research Entities Using Multiple Disciplinary Classifications |
Authors: | Pitambar, Gautam Browse this author →KAKEN DB |
Keywords: | science map | correspondence analysis | clustering | research field | cross-disciplinarity | co-word | co-citation |
Issue Date: | Jul-2016 |
Publisher: | International Institute of Applied Informatics |
Journal Title: | 2016 5th IIAI International Congress on Advanced Applied Informatics, July 10-14, 2016, Kumamoto, Japan |
Start Page: | 523 |
End Page: | 528 |
Publisher DOI: | 10.1109/IIAI-AAI.2016.117 |
Abstract: | This study attempts a comparative disciplinary
analysis of a Web of Science (WoS) recorded dataset (ca. 15,000
core journal articles and reviews) of real publications for 5-years
period by the research departments, dedicated to science,
technology, engineering, mathematics, and medicine (STEMM),
of a comprehensive university using different disciplinary
schemes: Essential Science Indicators (ESI) 22 research fields,
SCOPUS 27 subject areas and OECD Frascati 38 subordinate
research fields. It demonstrates that assigning the publications to
departments and disciplines followed by correspondence analysis
and clustering of the contingency table comprising disciplinary
share of publications results in enhanced understanding and
visualization of the research output at different levels of
disciplinary or research entities. Such exercise improves creation
of publication subsets (for different research entities and
disciplinary schemes) for further processing, visualization and
interpretation with sophisticated bibliometric/scientometric tools including the science mapping techniques. |
Conference Name: | International Congress on Advanced Applied Informatics |
Conference Sequence: | 5 |
Conference Place: | Kumamoto |
Rights: | © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Type: | proceedings (author version) |
URI: | http://hdl.handle.net/2115/62522 |
Appears in Collections: | 創成研究機構 (Creative Research Institution) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: Gautam Pitambar
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