Bibliometric analysis of distributed generation

Wei Lee Woon; Hatem Zeineldin; Stuart Madnick

doi:10.1016/j.techfore.2010.08.009

Bibliometric analysis of distributed generation

Wei Lee Woon, Hatem Zeineldin, Stuart Madnick

Electrical Engineering

Massachusetts Institute of Technology

Research output: Contribution to journal › Article › peer-review

22 Scopus citations

Abstract

This paper presents an application of term frequency (TF) as a means of identifying useful trends from text documents. Of particular interest is the relationship between publication patterns, as characterized by TF, and the underlying technological developments. To demonstrate the usefulness of our approach, a case study on distributed generation (DG) was conducted. Important sub-domains of DG research were identified and the associated TF values were extracted using relevant keywords. The evolution of these values through time helps to highlight key trends in the development of DG-related technologies.

Original language	British English
Pages (from-to)	408-420
Number of pages	13
Journal	Technological Forecasting and Social Change
Volume	78
Issue number	3
DOIs	https://doi.org/10.1016/j.techfore.2010.08.009
State	Published - Mar 2011

Keywords

Bibliometrics
Distributed generation
Technology mining

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10.1016/j.techfore.2010.08.009

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title = "Bibliometric analysis of distributed generation",

abstract = "This paper presents an application of term frequency (TF) as a means of identifying useful trends from text documents. Of particular interest is the relationship between publication patterns, as characterized by TF, and the underlying technological developments. To demonstrate the usefulness of our approach, a case study on distributed generation (DG) was conducted. Important sub-domains of DG research were identified and the associated TF values were extracted using relevant keywords. The evolution of these values through time helps to highlight key trends in the development of DG-related technologies.",

keywords = "Bibliometrics, Distributed generation, Technology mining",

author = "Woon, \{Wei Lee\} and Hatem Zeineldin and Stuart Madnick",

note = "Funding Information: The work described in this paper was carried out with the financial support of the Masdar Institute of Science and Technology The authors would like to thank the Masdar Institute for its support of this research. ",

year = "2011",

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AU - Woon, Wei Lee

AU - Zeineldin, Hatem

AU - Madnick, Stuart

N1 - Funding Information: The work described in this paper was carried out with the financial support of the Masdar Institute of Science and Technology The authors would like to thank the Masdar Institute for its support of this research.

PY - 2011/3

Y1 - 2011/3

N2 - This paper presents an application of term frequency (TF) as a means of identifying useful trends from text documents. Of particular interest is the relationship between publication patterns, as characterized by TF, and the underlying technological developments. To demonstrate the usefulness of our approach, a case study on distributed generation (DG) was conducted. Important sub-domains of DG research were identified and the associated TF values were extracted using relevant keywords. The evolution of these values through time helps to highlight key trends in the development of DG-related technologies.

AB - This paper presents an application of term frequency (TF) as a means of identifying useful trends from text documents. Of particular interest is the relationship between publication patterns, as characterized by TF, and the underlying technological developments. To demonstrate the usefulness of our approach, a case study on distributed generation (DG) was conducted. Important sub-domains of DG research were identified and the associated TF values were extracted using relevant keywords. The evolution of these values through time helps to highlight key trends in the development of DG-related technologies.

KW - Bibliometrics

KW - Distributed generation

KW - Technology mining

UR - https://www.scopus.com/pages/publications/79951681722

U2 - 10.1016/j.techfore.2010.08.009

DO - 10.1016/j.techfore.2010.08.009

M3 - Article

AN - SCOPUS:79951681722

SN - 0040-1625

VL - 78

SP - 408

EP - 420

JO - Technological Forecasting and Social Change

JF - Technological Forecasting and Social Change

IS - 3

ER -

Bibliometric analysis of distributed generation

Abstract

Keywords

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