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Co‐citation analysis of literature in e‐science and e‐infrastructures
Author(s) -
Mustafee Navonil,
Bessis Nik,
Taylor Simon J.E.,
Hou Jianhua,
Matthew Peter
Publication year - 2019
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.5620
Subject(s) - computer science , data science , e science , citation , field (mathematics) , citation analysis , web of science , set (abstract data type) , world wide web , political science , geometry , mathematics , medline , pure mathematics , law , programming language , grid
Summary Advances in computer networking, storage technologies, and high‐performance computing are helping global communities of researchers to address increasingly ambitious problems in Science collaboratively. E‐Science is the “science of this age”; it is realized through collaborative scientific enquiry which requires the utilization of non‐trivial amounts of computing resources and massive data sets. Core to this is the integrated set of technologies collectively known as e‐Infrastructures. In this paper, we explore the e‐Science and the e‐Infrastructure knowledge base through co‐citation analysis of existing literature. The dataset for this analysis is downloaded from the ISI Web of Science and includes over 12,000 articles. We identify prominent articles, authors, and articles with citation bursts. The detection of research clusters and the underlying seminal papers provide further insights. Our analysis is an important source of reference for academics, researchers, and students starting research in this field.