2017 ASEE Annual Conference &Amp; Exposition Proceedings
DOI: 10.18260/1-2--27882
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Board # 57 : A Bibliometric Analysis of ASEE Conference Papers Published by Members of the Engineering Libraries Division

Abstract: is a Research Services Librarian at Kelvin Smith Library, Case Western Reserve University. Daniela is liaison to the Biomedical Engineering, Civil Engineering, Electrical Engineering and Computer Science, Materials Science and Engineering, Mechanical and Aerospace Engineering departments. She is interested in bibliometrics, scholarship metrics, data management, and library instruction.

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Cited by 3 publications
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“…It is likely that the emergence of organized engineering librarian communities in ASEE and ACRL in the 1940s encouraged more librarians to engage in research in the 1950s and beyond. Today, many engineering librarians are active researchers and publish their work in various library and engineering education journals and conference proceedings [50].…”
Section: Discussionmentioning
confidence: 99%
“…It is likely that the emergence of organized engineering librarian communities in ASEE and ACRL in the 1940s encouraged more librarians to engage in research in the 1950s and beyond. Today, many engineering librarians are active researchers and publish their work in various library and engineering education journals and conference proceedings [50].…”
Section: Discussionmentioning
confidence: 99%
“…More relevant to this study are the analyses of the divisions' publications and related documentation. Hubbard [14] and Osorio & Solomon [15] performed bibliometric analyses of ASEE conference papers by members of the divisions, with the latter going so far as to map topics and vocabulary used in these documents with the Sci2 network analysis and visualization tool.…”
Section: Introductionmentioning
confidence: 99%
“…More relevant to this study are the analyses of the divisions' publications and related documentation. Hubbard [14] and Osorio & Solomon [15] performed bibliometric analyses of ASEE conference papers by members of the divisions, with the latter going so far as to map topics and vocabulary used in these documents with the Sci2 network analysis and visualization tool.…”
Section: Introductionmentioning
confidence: 99%