Bibliometric Analysis of Distributed Generation

37 Pages Posted: 7 Apr 2009 Last revised: 8 Jan 2018

See all articles by Wei Lee Woon

Wei Lee Woon

Masdar Institute of Science and Technology (MIST)

Hatem Zeineldin

Masdar Institute of Science and Technology (MIST)

Stuart Madnick

Massachusetts Institute of Technology (MIT) - Sloan School of Management

Date Written: November 1, 2009

Abstract

This paper describes the application of data mining techniques for eludicating patterns and trends in technological innovation. Specifically, we focus on the use of bibliometric methods, viz techniques which focus on trends in the publication of text documents rather than the content of these documents. Of particular interest is the relationship between publication patterns, as characterized by term occurrence frequencies, and the underlying technological trends and developments which drive these trends. To focus the discussions and to provide a concrete example of their applicability, a detailed case study focussing on research in the area of Distributed Generation (DG) is also presented; however, the techniques and general approach devised here will be applicable to a broad range of industries, situations, and locations. Our results are promising and indicate that interesting information and conclusions can be derived from this line of analysis. The results obtained using data extraction techniques highlight and present the evolution of DG-related technology focus areas, and their relative importance within this field.

Keywords: bibliometric analysis

Suggested Citation

Woon, Wei Lee and Zeineldin, Hatem and Madnick, Stuart E., Bibliometric Analysis of Distributed Generation (November 1, 2009). MIT Sloan Research Paper No. 4946-09. Available at SSRN: https://ssrn.com/abstract=1373889 or http://dx.doi.org/10.2139/ssrn.1373889

Wei Lee Woon

Masdar Institute of Science and Technology (MIST) ( email )

MASDAR
PO Box 54115
Abu Dhabi
United Arab Emirates

Hatem Zeineldin

Masdar Institute of Science and Technology (MIST) ( email )

MASDAR
PO Box 54115
Abu Dhabi
United Arab Emirates

Stuart E. Madnick (Contact Author)

Massachusetts Institute of Technology (MIT) - Sloan School of Management ( email )

E53-321
Cambridge, MA 02142
United States
617-253-6671 (Phone)
617-253-3321 (Fax)

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