2026-09-18T18:17:01Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/612892022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Stuart Madnick.
Ziegler, Blaine E
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2011-02-23T14:42:23Z
2011-02-23T14:42:23Z
2009
2009
http://hdl.handle.net/1721.1/61289
702644350
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 171).
This paper presents methods and software implementation for analyzing a field of research through the use of bibliometrics, i.e., information about published journal articles. Online publication search engines are queried, and their search results are extracted and analyzed, to help inform a researcher of the state of his or her field. Our methodology consists of three components: extraction of terms relevant to the research field, analysis of the growth in prevalence of these terms over time, and identification of interrelationships among these terms using a technique known as Latent Semantic Analysis. These methods are applicable to the analysis of any research field, but this paper presents results from a case study on the field of renewable energy.
by Blaine E. Ziegler.
M.Eng.
171 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
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http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Methods for bibliometric analysis of research : renewable energy case study
Thesis
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Publication
unknown
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