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A Bibliometric Approach to Tracking Big Data Research Trends

Journal of Big Data, Vol. 4, No. 30, September 2017

23 Pages Posted: 3 Oct 2017  

Ali Kalantari

University of Malaya (UM)

Amirrudin Kamsin

University of Malaya (UM) - Faculty of Computer Science and Information Technology

Halim Shukri Kamaruddin

USCI University

Nader Ale Ebrahim

Centre for Research Services, Institute of Management and Research Services (IPPP), University of Malaya (UM); University of Malaya (UM) - Department of Engineering Design and Manufacture

Abdullah Gani

University of Malaya (UM) - Faculty of Computer Science and Information Technology

Ali Ebrahimi

University of Malaya (UM) - Faculty of Computer Science and Information Technology

Shahaboddin Shamshirband

Ton Duc Thang University

Date Written: September 29, 2017

Abstract

The explosive growing number of data from mobile devices, social media, Internet of Things and other applications has highlighted the emergence of big data. This paper aims to determine the worldwide research trends on the field of big data and its most relevant research areas. A bibliometric approach was performed to analyse a total of 6572 papers including 28 highly cited papers and only papers that were published in the Web of Scienceā„¢ Core Collection database from 1980 to 19 March 2015 were selected. The results were refined by all relevant Web of Science categories to computer science, and then the bibliometric information for all the papers was obtained. Microsoft Excel version 2013 was used for analyzing the general concentration, dispersion and movement of the pool of data from the papers. The t test and ANOVA were used to prove the hypothesis statistically and characterize the relationship among the variables. A comprehensive analysis of the publication trends is provided by document type and language, year of publication, contribution of countries, analysis of journals, analysis of research areas, analysis of web of science categories, analysis of authors, analysis of author keyword and keyword plus. In addition, the novelty of this study is that it provides a formula from multi-regression analysis for citation analysis based on the number of authors, number of pages and number of references.

Keywords: Big Data, Research Trends, Highly Cited Papers, Citation Analysis, Bibliometrics

JEL Classification: L11, L1, L2, M11, M12, M1, M54, Q1, O1, O3, P42, P24, P29, Q31, Q32, L17

Suggested Citation

Kalantari, Ali and Kamsin, Amirrudin and Kamaruddin, Halim Shukri and Ale Ebrahim, Nader and Gani, Abdullah and Ebrahimi, Ali and Shamshirband, Shahaboddin, A Bibliometric Approach to Tracking Big Data Research Trends (September 29, 2017). Journal of Big Data, Vol. 4, No. 30, September 2017. Available at SSRN: https://ssrn.com/abstract=3046448

Ali Kalantari

University of Malaya (UM) ( email )

Kuala Lumpur, Wilayah Persekutuan 50603
University of Malaya (UM)
Kuala Lumpur, Wilayah Persekutuan 50603
Malaysia

Amirrudin Kamsin

University of Malaya (UM) - Faculty of Computer Science and Information Technology ( email )

Jalan Lembah Pantai
Kuala Lumpur, Wilayah Persekutuan 50603
Malaysia

Halim Shukri Kamaruddin

USCI University ( email )

No. 1, Jalan Menara Gading
UCSI Heights (Taman Connaught)
Kuala Lumpur, Cheras 56000
Malaysia

Nader Ale Ebrahim (Contact Author)

Centre for Research Services, Institute of Management and Research Services (IPPP), University of Malaya (UM) ( email )

Kuala Lumpur, Wilayah Persekutuan 50603
University of Malaya (UM)
Kuala Lumpur, Wilayah Persekutuan 50603
Malaysia

HOME PAGE: http://https://umresearch.um.edu.my/

University of Malaya (UM) - Department of Engineering Design and Manufacture ( email )

Kuala Lumpur, 50603
Malaysia

Abdullah Gani

University of Malaya (UM) - Faculty of Computer Science and Information Technology

Jalan Lembah Pantai
Kuala Lumpur, Wilayah Persekutuan 50603
Malaysia

Ali Ebrahimi

University of Malaya (UM) - Faculty of Computer Science and Information Technology ( email )

Jalan Lembah Pantai
Kuala Lumpur, Wilayah Persekutuan 50603
Malaysia

Shahaboddin Shamshirband

Ton Duc Thang University ( email )

19 Nguyen Huu Tho
District 7
Ho Chi Minh City, 0848
Vietnam

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