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The Journal of Supercomputing
Erschienen in: The Journal of Supercomputing 5/2020

07.12.2018

A decade of big data literature: analysis of trends in light of bibliometrics

verfasst von: Iftikhar Ahmad, Gulzar Ahmed, Syed Adeel Ali Shah, Ejaz Ahmed

Erschienen in: The Journal of Supercomputing | Ausgabe 5/2020

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Abstract

Bibliometrics is a quantitative tool for the analysis of literature published in a scientific field. Using Scopus as the data source, we perform a thorough analysis of scholarly works published in the field of big data from 2008 to 2017. The objective of the work is to find the most cited articles in the given time frame, the citation trends, the authorship trends as well as the trends of research work in the related area. The analysis shows that over 50% of publications do not receive any citations, and the average number of citations per publication is 3.17. It is also observed that single authorship of research publications has declined over the time. The analysis reveals the pioneering role played by the USA in advancing the research in big data, which has lately been taken over by China, and the large-scale usage of big data analytics in various domains of science.
Vorheriger Artikel GRU: optimization of NPI performance
Nächster Artikel Fast Recovery MapReduce (FAR-MR) to accelerate failure recovery in big data applications

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Metadaten
Titel
A decade of big data literature: analysis of trends in light of bibliometrics
verfasst von
Iftikhar Ahmad
Gulzar Ahmed
Syed Adeel Ali Shah
Ejaz Ahmed
Publikationsdatum
07.12.2018
Verlag
Springer US
Erschienen in
The Journal of Supercomputing / Ausgabe 5/2020
Print ISSN: 0920-8542
Elektronische ISSN: 1573-0484
DOI
https://doi.org/10.1007/s11227-018-2714-x

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