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Scientometric mapping of research on ‘Big Data’

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Abstract

This paper presents a scientometric analysis of research work done on the emerging area of ‘Big Data’ during the recent years. Research on ‘Big Data’ started during last few years and within a short span of time has gained tremendous momentum. It is now considered one of the most important emerging areas of research in computational sciences and related disciplines. We have analyzed the research output data on ‘Big Data’ during 2010–2014 indexed in both, the Web of Knowledge and Scopus. The analysis maps comprehensively the parameters of total output, growth of output, authorship and country-level collaboration patterns, major contributors (countries, institutions and individuals), top publication sources, thematic trends and emerging themes in the field. The paper presents an elaborate and one of its kind scientometric mapping of research on ‘Big Data’.

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Notes

  1. https://apps.webofknowledge.com.

  2. http://www.scopus.com.

  3. http://www.vosviewer.com/Home.

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Acknowledgments

This work is supported by research grants from Department of Science and Technology, Government of India (Grant: INT/MEXICO/P-13/2012) and University Grants Commission of India (Grant: F. No. 41-624/2012(SR)).

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Authors and Affiliations

  1. Department of Computer Science, South Asian University, New Delhi, 110021, India

    Vivek Kumar Singh, Sumit Kumar Banshal, Khushboo Singhal & Ashraf Uddin

Authors
  1. Vivek Kumar Singh
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  2. Sumit Kumar Banshal
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  3. Khushboo Singhal
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Corresponding author

Correspondence to Vivek Kumar Singh.

Appendix

Appendix

Abbreviated form for discipline

Subjects contained

Computer Science

Information Systems, Software Engineering, Theory Methods, Hardware Architecture, Artificial Intelligence, Automation Control Systems, Interdisciplinary Applications

Electronics, Electrical and Telecom.

Engineering Electrical Electronic, Telecommunications

Biological Sciences

Biotechnology Applied Microbiology, Mathematical Computational Biology, Neurosciences, Genetics Heredity, Psychology Biological, Biology

Medical

Biochemical Research Methods, Medicine General Internal, Medicine Research Experimental, Medical Informatics, Oncology, Immunology

Management

Management, Business, Operations Research Management Science

Health Care

Health Care Sciences Services, Health Policy Services, Public Environmental Occupational Health

Chemistry

Pharmacology Pharmacy, Chemistry Multidisciplinary, Biochemistry Molecular Biology, Chemistry Medicinal

Geography

Geography, Environmental Sciences

Physics

Physics Multidisciplinary, Physics Applied

Political Sciences

Political Science, Public Administration

Industrial Engineering

Engineering Industrial, Instruments Instrumentation

Info and Lib Science

Information Science Library Science

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Singh, V.K., Banshal, S.K., Singhal, K. et al. Scientometric mapping of research on ‘Big Data’. Scientometrics 105, 727–741 (2015). https://doi.org/10.1007/s11192-015-1729-9

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