Open AccessPublications trends in big data: A scientometric analysis
Author(s) -
S. Baskaran
Publication year - 2022
Publication title -
ip indian journal of library science and information technology/ip indian journal of library science and information technology (print)
Language(s) - English
Resource type - Journals
eISSN - 2582-1555
pISSN - 2456-9623
DOI - 10.18231/j.ijlsit.2021.021
Subject(s) - big data , period (music) , distribution (mathematics) , productivity , subject (documents) , library science , geography , web of science , data source , bibliometrics , data science , regional science , political science , database , computer science , mathematics , medline , economics , economic growth , data mining , mathematical analysis , physics , acoustics , law
The present paper is aimed at analysing the global publications trends on big data using Web of Science database for the period 2011-2020. The database contained 45249 publications. The average number of publications per year was 4524.9. There were only 1058 publications in 2011 and a continuous growth of publication was observed during the period. The highest publication 9389 was in 2020. Authors from USA have contributed maximum number of publications compared to the other countries and India stood 11in terms of productivity in this period. Publications on big data are spread over 22 languages. The study analysed the broad features of literature on big data focusing on growth rate of publications, most prolific authors, country wise distribution of publications, highly productive institutes, language wise distribution of publications, most preferred source titles and high productivity subject areas.