Exploring the e-science knowledge base through co-citation analysis

Navonil Mustafee, Nik Bessis, Simon J.E. Taylor, Stelios Sotiriadis

Research output: Contribution to journalConference proceeding article (ISSN)peer-review

14 Citations (Scopus)

Abstract

E-Science is the sciensce of this age; it is realized thorough collaborative scientific enquiry which requires utilization of non-trivial amounts of computing resources and massive data sets. In this paper we explore the e-Science knowledge base through co-citation analysis of extant literature. Our objective is to use the knowledge domain visualization software CiteSpace to identifying the turning point articles and authors. In other words, our analysis is not solely based on tabulating the frequency of co-cited articles and authors, but the identification of landmark articles and authors irrespective of their co-citation count. The dataset for this analysis is downloaded from the ISI Web of Science and includes approx. 1000 articles. It is expected that this paper will be an important source of reference for academics and researchers working in the area of e-Science and its three technology enablers - grid computing, desktop grids and cloud computing.

Original languageEnglish
Pages (from-to)586-593
Number of pages8
JournalProcedia Computer Science
Volume19
DOIs
Publication statusPublished - 24 Jun 2013
Event4th International Conference on Ambient Systems, Networks and Technologies, ANT 2013 and the 3rd International Conference on Sustainable Energy Information Technology, SEIT 2013 - Halifax, NS, Canada
Duration: 25 Jun 201328 Jun 2013

Keywords

  • Cloud computing
  • Co-citation analysis
  • Desktop grid computing
  • E-science
  • Grid computing

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