Abstract

 


 



Bibliometric Analysis of Distributed Generation


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

April 1, 2009

MIT Sloan Research Paper No. 4730-09

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.

Number of Pages in PDF File: 14

Keywords: bibliometric analysis

working papers series


Download This Paper

Date posted: April 7, 2009  

Suggested Citation

Woon, Wei Lee, Zeineldin, Hatem and Madnick, Stuart E., Bibliometric Analysis of Distributed Generation (April 1, 2009). MIT Sloan Research Paper No. 4730-09. Available at SSRN: http://ssrn.com/abstract=1373889 or http://dx.doi.org/10.2139/ssrn.1373889

Contact Information

Wei Lee Woon (Contact Author)
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
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)
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 3,844
Downloads: 87
Download Rank: 148,443

© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright
This page was processed by apollo4 in 0.891 seconds