Skip to main content
Article
Citation Patterns of Engineering, Statistics, and Computer Science Researchers: An Internal and External Citation Analysis across Multiple Engineering Subfields
College & Research Libraries
  • Madeline Kelly, Western Washington University
Document Type
Article
Publication Date
11-1-2015
Keywords
  • Citation analysis,
  • Library collection development
Abstract

This study takes a multidimensional approach to citation analysis, examining citations in multiple subfields of engineering, from both scholarly journals and doctoral dissertations. The three major goals of the study are to determine whether there are differences between citations drawn from dissertations and those drawn from journal articles; to test a methodology incorporating both internal and external citation sources; and to explore the citation habits of researchers in science, technology, engineering, and mathematics (STEM) subfields. The results reveal variations in how STEM subfields conduct research in career and academic settings and are more nuanced than internal or external citation data alone can provide. The results have practical collection development implications.

Subjects - Topical (LCSH)
Scientific literature--Methodology; Technical literature--Methodology; Mathematical literature--Methodology; Collection development (Libraries)
Genre/Form
articles
Type
Text
Creative Commons License
Creative Commons Attribution-NonCommercial 4.0 International
Language
English
Format
application/pdf
Citation Information
Madeline Kelly. "Citation Patterns of Engineering, Statistics, and Computer Science Researchers: An Internal and External Citation Analysis across Multiple Engineering Subfields" College & Research Libraries Vol. 76 Iss. 7 (2015) p. 859 - 882
Available at: http://works.bepress.com/madeline-kelly/6/