Global Research on Big Data in Relation with Artificial Intelligence (A Bibliometric Study: 2008-2019)

Authors

DOI:

https://doi.org/10.3991/ijoe.v16i02.12617

Keywords:

Bibliometric analysis, big data, artificial intelligence, business intelligence, citations, research evaluation and Impact, SCI-Expanded, SSCI

Abstract


The purpose of this paper is to analyze and explore the research studies on Big Data in relation with Artificial Intelligence domain, which published in Peer Review Journals and indexed in Web of Science Core Collection for the period of 2008-2019 years.

The publication data for our research analysis “Big Data in relation with Artificial Intelligence” has been derived from the Web of Science (WoS) Core Collection database (Indexes included SCI Expanded and SSCI).  The Bibliometric Analysis Methods is applied for the study in order to find out the relations between two domains and to investigate the status of scientific development level in the research era. Therefore, our research concentrates and highlights the current issues discussed and studied by the scholars around the globe. This paper would useful for researchers to show the publication trends on big data in relation with artificial intelligence research outcomes in highly reputable SCI-Exp and SSCI journal (ranked by WoS).  

Author Biographies

Atik Kulakli, American University of the Middle East

Associate Professor, College of Business Administration, Department of Management Information Systems

atik.kulakli@aum.edu.kw

Valmira Osmanaj, American University of the Middle East

Assistant Professor, College of Business Administration, Department of Management Information Systems

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Published

2020-02-12

How to Cite

Kulakli, A., & Osmanaj, V. (2020). Global Research on Big Data in Relation with Artificial Intelligence (A Bibliometric Study: 2008-2019). International Journal of Online and Biomedical Engineering (iJOE), 16(02), pp. 31–46. https://doi.org/10.3991/ijoe.v16i02.12617

Issue

Vol. 16 No. 02 (2020)

Section

Papers

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