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Identifying remarkable researchers using citation network analysis / Ephrance Abu Ujum

Experts or authorities within a research field exhibit specific traits in how they publish as well as in how they are cited by others. An analysis of such citation dependencies requires a network approach whereby a researcher’s impact depends not only on the number of citations he/she has accumulate...

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Main Author: Ujum, Ephrance Abu
Format: Thesis
Published: 2014
Subjects:
Q Science (General)
QA Mathematics
Online Access:http://studentsrepo.um.edu.my/4924/1/Ephrance_Abu_Ujum%2DUniversiti_Malaya%2DMSc%2D2014.pdf
http://studentsrepo.um.edu.my/4924/
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spelling my.um.stud.49242015-03-05T06:23:42Z Identifying remarkable researchers using citation network analysis / Ephrance Abu Ujum Ujum, Ephrance Abu Q Science (General) QA Mathematics Experts or authorities within a research field exhibit specific traits in how they publish as well as in how they are cited by others. An analysis of such citation dependencies requires a network approach whereby a researcher’s impact depends not only on the number of citations he/she has accumulated (over a given period of time) but also on the prominence of researchers who depend on their work. This thesis shall explore how to distinguish researchers based on temporal patterns of their publication and citation records. As intuition may suggest, the influence of a researcher is proportional to the number of citations he/she has acquired as well as the influence of his/her citing authors. Authority can also be conferred to a researcher by virtue of his/her (co)authored works that continue to accrue citations long after the year of publication. In this thesis, experts or authorities are identified using the “temporal citation network analysis” approach of Yang, Yin, and Davison (2011). This method assigns a high influence score to researchers who are still actively and persistently publishing, have long publication track record, and are heavily cited (especially by influential peers). As a case study, the method proposed by Yang and co-workers shall be used to identify authorities within the ISI Web of Knowledge category of “BUSINESS, FINANCE” spanning the period 1980-2011 inclusive. The thesis shall also explore a modification of this method to predict rising stars within the same dataset. 2014 Thesis NonPeerReviewed application/pdf http://studentsrepo.um.edu.my/4924/1/Ephrance_Abu_Ujum%2DUniversiti_Malaya%2DMSc%2D2014.pdf Ujum, Ephrance Abu (2014) Identifying remarkable researchers using citation network analysis / Ephrance Abu Ujum. Masters thesis, University of Malaya. http://studentsrepo.um.edu.my/4924/
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Student Repository
url_provider http://studentsrepo.um.edu.my/
topic Q Science (General)
QA Mathematics
spellingShingle Q Science (General)
QA Mathematics
Ujum, Ephrance Abu
Identifying remarkable researchers using citation network analysis / Ephrance Abu Ujum
description Experts or authorities within a research field exhibit specific traits in how they publish as well as in how they are cited by others. An analysis of such citation dependencies requires a network approach whereby a researcher’s impact depends not only on the number of citations he/she has accumulated (over a given period of time) but also on the prominence of researchers who depend on their work. This thesis shall explore how to distinguish researchers based on temporal patterns of their publication and citation records. As intuition may suggest, the influence of a researcher is proportional to the number of citations he/she has acquired as well as the influence of his/her citing authors. Authority can also be conferred to a researcher by virtue of his/her (co)authored works that continue to accrue citations long after the year of publication. In this thesis, experts or authorities are identified using the “temporal citation network analysis” approach of Yang, Yin, and Davison (2011). This method assigns a high influence score to researchers who are still actively and persistently publishing, have long publication track record, and are heavily cited (especially by influential peers). As a case study, the method proposed by Yang and co-workers shall be used to identify authorities within the ISI Web of Knowledge category of “BUSINESS, FINANCE” spanning the period 1980-2011 inclusive. The thesis shall also explore a modification of this method to predict rising stars within the same dataset.
format Thesis
author Ujum, Ephrance Abu
author_facet Ujum, Ephrance Abu
author_sort Ujum, Ephrance Abu
title Identifying remarkable researchers using citation network analysis / Ephrance Abu Ujum
title_short Identifying remarkable researchers using citation network analysis / Ephrance Abu Ujum
title_full Identifying remarkable researchers using citation network analysis / Ephrance Abu Ujum
title_fullStr Identifying remarkable researchers using citation network analysis / Ephrance Abu Ujum
title_full_unstemmed Identifying remarkable researchers using citation network analysis / Ephrance Abu Ujum
title_sort identifying remarkable researchers using citation network analysis / ephrance abu ujum
publishDate 2014
url http://studentsrepo.um.edu.my/4924/1/Ephrance_Abu_Ujum%2DUniversiti_Malaya%2DMSc%2D2014.pdf
http://studentsrepo.um.edu.my/4924/
_version_ 1738505728462684160
score 13.211869

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