We all know that data has become a new fuel to the fast paced technology-driven world. And the academicians and researchers are doing their best for getting better into moulding the data-driven society to keeping it updated every day. Indian academicians and researchers are also doing their best in field of big data research studies. This chapter will focus the research landscape of big data research in India. This scientometric evaluation will let us know how India is going forward in this research area with some specific statistics in scientific community.
TopBackground
We are known about the fact that scientometric or bibliometric studies are applied for analysing the usability and impact of particular scientific communications/publications. Researchers have been gone through various similar studies to know about different aspects that can be explored.
(Ruiz-Rosero et al., 2017) in their work Internet of Things: A Scientometric Review -done scientometric review of Internet of things. These review covers surveys was focussed to IoT vision, enabling technologies, applications, key features, co-word and cluster analysis, and future directions. Also, they used scientific databases to perform a quantitative analysis. This work develops a scientometric analysis of IoT research of bunched data set of 19,035 records published in timespan of (2002–2016) about 15 years in two renowned science databases (WoS and Scopus). The researchers developed a Python script called ScientoPy to perform this analysis. This research throws light into research trends by exploring a top author’s, country collaborations, affiliations, most productive authors, top research applications, communication protocols, software processing, hardware, operating systems, and various hot topics in research.
(Bright Winsley & Muthukannan M., 2020) studies scientometric analyses in their work-Information Security: A Scientometric Study. Researchers collected data related to information security research from the Web of Science core collection and applied through Scientometrics for finding literature growth in years, high productive country, collaborating institutions, and authors, their funding agencies, top contributing journals, and the area of research (Keywords). This study reveals USA is the top contributing country while China is parallel stakeholder in this field. Chinese funding agencies fund most of the research. And English is the preferred language of communication.