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Bibliometric Analysis for the field of City Logistics: Study of Procedia -Journal of Social and Behavioral Sciences, 2010-2016


Bibliometric Analysis for the field of City Logistics: Study of Procedia -Journal of Social and Behavioral Sciences, 2010-2016

Kaur, Rupinder (2017) Bibliometric Analysis for the field of City Logistics: Study of Procedia -Journal of Social and Behavioral Sciences, 2010-2016. Masters thesis, Concordia University.

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This study profiles the bibliometric analysis of the papers published in the field of City Logistics in Procedia - Journal of Social and Behavioral Sciences for the years 2010 to 2016. Key aspects examined are analysis of Network of Keywords and Paper, Network of Keywords and Procedia, Network of Keywords and Keywords used in a paper, Citation Network of Authors and Collaboration Network of Authors. These five networks were examined statistically and graphically. The analysis resulted in identifying the significant clusters formed in these networks. The results from different perspectives converge at one point in recognizing the most popular cited authors, major collaborators, prevalent keywords used by authors and major keywords used in Procedia for last 7 years in the field of study. Citation, collaboration and keyword patterns were found in the networks with respect to the trends in the data. Novel practitioners in the field can use the results of the study to seek the authors for citation and collaboration as well as emerging fields in this area. Exploring these networks indicated how “City Logistics” has evolved over time and delineated research areas in the field.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Concordia Institute for Information Systems Engineering
Item Type:Thesis (Masters)
Authors:Kaur, Rupinder
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Quality Systems Engineering
Date:April 2017
Thesis Supervisor(s):Awasthi, Anjali
Keywords:Bibliometric, City Logistics, Citation, Cluster, Collaboration, Graph Visualization, Keyword, Network Analysis
ID Code:982425
Deposited On:09 Jun 2017 14:57
Last Modified:18 Jan 2018 17:55


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